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Digital ekonomi
Ekonomi islam digital merupakan pengembangan tekonologi digital kedalam sistem ekonomi syariah. Ekonomi digital berfokus pada aktivitas transaksi dalam pasar yang berlangsung. Tranformasi digital memegang dalam berbagai sektor bidang dalam ekonomi syariah , yaitu dalam lingkup mikro dan makro. Perkembangan ini juga menghasilkan jenis transaksi dan produk seperti perdagangan online, E-commerce , dan layanan lainnya. Dalam perkembangan ekonomi islam digital juga perlu memahami dinamika ekonomi digital yang memberikan tantangan untuk ekonomi islam yang modern dan membuka banyak peluang baru untuk meningkatkan efisiensi. Dengan mendorong aktivitas ekonomi digital dengan prinsip-prinsip syariah merupakan salah satu langkah untuk memperkuat ekonomi syariah Yang mencakup keadilan , keterbukaan , kehati-hatian , dan keberlanjutan.(Nafisya & Sapa, 2025).
Diera sekarang sangat didukung fasilitas digitalisasi oleh sistem dalam melakukan aktivitas dan peran perekonomian yang meningkatkan mobilitas manusia. Banyak aspek yang meningkatkan mobilitas ekonomi islam digital , dimana produsen menyediakan barang atau jasa kepada konsumen tanpa ada batasan apapun , untuk memastikan keamanan antara perodusen dan konsumen berdasarkan media yang digunakan terdapat aturan yang diterapkan. Sumber yang paling penting dalam ekonomi islam digital yaitu data sebagai sumber nilai untuk mengumpulkan transaksi aktivitas pasar.(Cahaya Putri & Mayanti, 2024)
Terdapat pilar akad untuk menjalankan aktivitas perekonomian dalam ekonomi islam digital :
1. Adanya kedua pihak dalam kontrak yaitu antara produsen dan konsumen
2. Perjanjian antara konsumen dan produsen
3. Barang atau jasa yang ditawarkan oleh produsen harus dalam keadaan normal
4. Tujuan akad agar konsumen dan produsen tidak melanggar prinsip-prinsip islam
E-commerce telah mengubah aktivitas transaksi manual menjadi transaksi digital yang sebelumnya aktivitas pasar dilakukan secara pertemuan fisik , setelah adanya E-commerce aktivitas transaksi bisa dilakukan secara digital atau otomatis seperti proses pencarian , pemesanan , pembayaran , dan pengiriman. Adanya platform seperti marketplace , shopee serta sosial media bisa meningkatkan efisiensi lainnya dan mendorong usaha kecil bersaing di pasar yang lebih luas agar berkembang pesat.(Ikhsan et al., 2025)
E-commerce selain sebagai paltform jual beli juga mencakup aspek dalam rantai pasokan dan manajemen bisnis. Seperti aktivitas pengelolaan , sistem pembayaran digital , layanan pelanggan , pemasaran digital , dan bagian penting dalam operasional E-commerce yaitu menganalisis perilaku konsumen. E-commerce juga sebagai ekosistem bisnis digital yang dinamis dan tidak hanya dipakai sebagai alat transaksi aja. Namun transaksi yang dilakukan harus sesuai dengan prinsip-prinsip syariah yang tidak melibatkan riba , gharar , dan maisir.
Berkembangnya digitalisasi E-commerce juga berdampak pada sektor ekonomi namun juga mempengaruhi aspek sosial dan budaya. Yang mengubah pola gaya hidup yang terbiasa melakukan aktivitas belanja melalui perangkat digital , dengan kemajuan teknologi digital juga meningkatkan pengalaman konsumen dalam aktivitas berbelanja online. Dengan berkembangnya E-commerce telah menjadi bagian penting dari ekonomi digital.
Tantangan dalam ekonomi digital islam meliputi aspek yang berbagai dari aturan hingga kesiapan produsen. Kurangnya standar halal yang sama diberbagai negara menjadikan kendala utama dalam memudahkan integrasi pasar global. Selain itu ada juga E-commerce yang masih banyak belum menerapkan verifikasi halal yang ketat. Literasi ekonomi digital yang rendah menyebabkan kekhawatiran konsumen terkait keaslian produk. Banyak usaha kecil yang belum mempelajari sepenuhnya memahami cara memanfaatkan berbasis digital untuk mengembangkan usaha mereke di pasar global.(Koswara, 2025)
Ekonomi digital islam meningkatkan ekonomi , efisiensi dalam transaksi , dan sistem keuangan syariah yang membuka peluang besar. Kesenjangan literasi digital islam , perlindungan data dan perlindungan konsumen , penyesuaian terhadap prinsip-prinsip syariah dalam ekonomi digital , dan kurangnya infrastruktur teknologi menjadi tantangan yang dihadapi dalam ekonomi digital islam. Kerjasama antara produsen dan konsumen , kebijakan , dan institusi pendidikan menjadikan kunci sukses digital ekonomi islam yang baik.(Husaini, 2023)
Itu
Comparison Data
Systematic Literature Review on the Application of Convolutional Neural Networks for Rambutan Fruit Classification: Advances, Challenges, and Future Directions
Rambutan (Nephelium lappaceum L.) is a tropical fruit widely cultivated in Southeast Asia, including Indonesia. Manual classification of rambutan types and ripeness levels remains a challenge due to the high subjectivity and time-intensive nature of the process, particularly in large-scale agricultural operations. Convolutional Neural Network (CNN), a deep learning approach, offers significant potential in automating and improving the accuracy of fruit classification tasks by extracting complex visual features such as color and texture. This study employs a Systematic Literature Review (SLR) to evaluate the application of CNN in rambutan classification. Relevant research from 2019 to 2024 was analyzed to identify trends, accuracy levels, and challenges in utilizing CNN for this purpose. Results demonstrate that CNN achieves superior accuracy (>90%) compared to traditional methods like K-Nearest Neighbor (KNN). However, limitations include restricted dataset diversity and insufficient testing under real-world conditions. Recommendations for future research emphasize the need for larger, more diverse datasets and integration of additional media, such as spectral data and video, to enhance model robustness
Stemming
Submited Data:
digital ekonomi ekonomi islam digital pengembangan tekonologi digital kedalam sistem ekonomi syariah ekonomi digital berfokus aktivitas transaksi pasar berlangsung tranformasi digital memegang sektor bidang ekonomi syariah lingkup mikro makro perkembangan menghasilkan jenis transaksi produk seperti perdagangan online e commerce layanan lainnya perkembangan ekonomi islam digital perlu memahami dinamika ekonomi digital memberikan tantangan ekonomi islam modern membuka banyak peluang baru meningkatkan efisiensi mendorong aktivitas ekonomi digital prinsip prinsip syariah salah satu langkah memperkuat ekonomi syariah mencakup keadilan keterbukaan kehati hatian keberlanjutan nafisya sapa 2025 diera sekarang didukung fasilitas digitalisasi sistem melakukan aktivitas peran perekonomian meningkatkan mobilitas manusia banyak aspek meningkatkan mobilitas ekonomi islam digital produsen menyediakan barang jasa konsumen ada batasan apapun memastikan keamanan perodusen konsumen berdasarkan media digunakan aturan diterapkan sumber paling penting ekonomi islam digital data sumber nilai mengumpulkan transaksi aktivitas pasar cahaya putri mayanti 2024 terdapat pilar akad menjalankan aktivitas perekonomian ekonomi islam digital 1 adanya kedua pihak kontrak produsen konsumen 2 perjanjian konsumen produsen 3 barang jasa ditawarkan produsen keadaan normal 4 akad agar konsumen produsen melanggar prinsip prinsip islam e commerce mengubah aktivitas transaksi manual menjadi transaksi digital sebelumnya aktivitas pasar secara pertemuan fisik setelah adanya e commerce aktivitas transaksi bisa secara digital otomatis seperti proses pencarian pemesanan pembayaran pengiriman adanya platform seperti marketplace shopee serta sosial media bisa meningkatkan efisiensi lainnya mendorong usaha kecil bersaing pasar luas agar berkembang pesat ikhsan et al 2025 e commerce selain paltform jual beli mencakup aspek rantai pasokan manajemen bisnis seperti aktivitas pengelolaan sistem pembayaran digital layanan pelanggan pemasaran digital bagian penting operasional e commerce menganalisis perilaku konsumen e commerce ekosistem bisnis digital dinamis hanya dipakai alat transaksi aja transaksi sesuai prinsip prinsip syariah melibatkan riba gharar maisir berkembangnya digitalisasi e commerce berdampak sektor ekonomi mempengaruhi aspek sosial budaya mengubah pola gaya hidup terbiasa melakukan aktivitas belanja melalui perangkat digital kemajuan teknologi digital meningkatkan pengalaman konsumen aktivitas berbelanja online berkembangnya e commerce menjadi bagian penting ekonomi digital tantangan ekonomi digital islam meliputi aspek aturan hingga kesiapan produsen kurangnya standar halal sama diberbagai negara menjadikan kendala utama memudahkan integrasi pasar global selain ada e commerce banyak belum menerapkan verifikasi halal ketat literasi ekonomi digital rendah menyebabkan kekhawatiran konsumen terkait keaslian produk banyak usaha kecil belum mempelajari sepenuhnya memahami cara memanfaatkan berbasis digital mengembangkan usaha mereke pasar global koswara 2025 ekonomi digital islam meningkatkan ekonomi efisiensi transaksi sistem keuangan syariah membuka peluang besar kesenjangan literasi digital islam perlindungan data perlindungan konsumen penyesuaian prinsip prinsip syariah ekonomi digital kurangnya infrastruktur teknologi menjadi tantangan dihadapi ekonomi digital islam kerjasama produsen konsumen kebijakan institusi pendidikan menjadikan kunci sukses digital ekonomi islam baik husaini 2023 itu Comparison Data:
systematic literature review on the application of convolutional neural networks for rambutan fruit classification advances challenges and future directions rambutan nephelium lappaceum l is a tropical fruit widely cultivated in southeast asia including indonesia manual classification of rambutan types and ripeness levels remains a challenge due to the high subjectivity and time intensive nature of the process particularly in large scale agricultural operations convolutional neural network cnn a deep learning approach offers significant potential in automating and improving the accuracy of fruit classification tasks by extracting complex visual features such as color and texture this study employs a systematic literature review slr to evaluate the application of cnn in rambutan classification relevant research from 2019 to 2024 was analyzed to identify trends accuracy levels and challenges in utilizing cnn for this purpose results demonstrate that cnn achieves superior accuracy 90 compared to traditional methods like k nearest neighbor knn however limitations include restricted dataset diversity and insufficient testing under real world conditions recommendations for future research emphasize the need for larger more diverse datasets and integration of additional media such as spectral data and video to enhance model robustness
Jaro Winkler
| Word | TW | HV | Detail |
|---|---|---|---|
| 1. digital | 130 words | 0.76 | systematic : 0.5, literature : 0.58, review : 0.44, on : 0, the : 0, application : 0.52, of : 0, convolutional : 0.44, neural : 0.54, networks : 0.42, for : 0, rambutan : 0.51, fruit : 0.56, classification : 0.52, advances : 0.51, challenges : 0.5, and : 0.49, future : 0.44, directions : 0.66, nephelium : 0.34, lappaceum : 0.42, l : 0, is : 0.55, a : 0, tropical : 0.6, widely : 0.53, cultivated : 0.53, in : 0.55, southeast : 0.5, asia : 0.6, including : 0.48, indonesia : 0.48, manual : 0.54, types : 0, ripeness : 0.42, levels : 0.44, remains : 0.36, challenge : 0.5, due : 0.54, to : 0, high : 0.6, subjectivity : 0.32, time : 0.46, intensive : 0.48, nature : 0.44, process : 0, particularly : 0.55, large : 0.45, scale : 0, agricultural : 0.58, operations : 0.47, network : 0.43, cnn : 0, deep : 0.52, learning : 0.35, approach : 0.42, offers : 0, significant : 0.65, potential : 0.59, automating : 0.41, improving : 0.5, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.41, complex : 0.43, visual : 0.64, features : 0.35, such : 0, as : 0, color : 0, texture : 0.43, this : 0.46, study : 0, employs : 0, slr : 0, evaluate : 0.43, relevant : 0.35, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.51, identify : 0.52, trends : 0, utilizing : 0.55, purpose : 0, results : 0.36, demonstrate : 0.61, that : 0.46, achieves : 0.42, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.66, methods : 0.43, like : 0.46, k : 0, nearest : 0.43, neighbor : 0.51, knn : 0, however : 0, limitations : 0.65, include : 0.43, restricted : 0.33, dataset : 0.66, diversity : 0.74, insufficient : 0.48, testing : 0.36, under : 0.45, real : 0, world : 0, conditions : 0.57, recommendations : 0.31, emphasize : 0.34, need : 0, larger : 0.44, more : 0, diverse : 0.62, datasets : 0.64, integration : 0.56, additional : 0.76, media : 0.68, spectral : 0.6, data : 0.75, video : 0.4, enhance : 0.43, model : 0.56, robustness : 0.41 |
| 2. ekonomi | 130 words | 0.76 | systematic : 0.58, literature : 0.41, review : 0.44, on : 0.76, the : 0.49, application : 0.41, of : 0.55, convolutional : 0.63, neural : 0.44, networks : 0.43, for : 0.49, rambutan : 0.42, fruit : 0, classification : 0.4, advances : 0.42, challenges : 0.41, and : 0.49, future : 0, directions : 0.47, nephelium : 0.51, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.51, widely : 0, cultivated : 0.41, in : 0.55, southeast : 0.42, asia : 0, including : 0.5, indonesia : 0.48, manual : 0.44, types : 0, ripeness : 0.51, levels : 0.44, remains : 0.51, challenge : 0.42, due : 0.49, to : 0.55, high : 0, subjectivity : 0.48, time : 0, intensive : 0.48, nature : 0, process : 0.43, particularly : 0.41, large : 0, scale : 0, agricultural : 0.41, operations : 0.49, network : 0.52, cnn : 0.49, deep : 0.46, learning : 0.6, approach : 0.42, offers : 0.44, significant : 0.49, potential : 0.59, automating : 0.58, improving : 0.5, accuracy : 0, tasks : 0.45, by : 0, extracting : 0.55, complex : 0.43, visual : 0, features : 0.42, such : 0, as : 0, color : 0.56, texture : 0.43, this : 0, study : 0, employs : 0.57, slr : 0, evaluate : 0.48, relevant : 0.51, research : 0.42, from : 0.6, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.6, trends : 0.54, utilizing : 0.42, purpose : 0.43, results : 0.43, demonstrate : 0.52, that : 0, achieves : 0.42, superior : 0.49, 90 : 0, compared : 0.51, traditional : 0.32, methods : 0.52, like : 0.46, k : 0.71, nearest : 0.43, neighbor : 0.49, knn : 0.65, however : 0.43, limitations : 0.4, include : 0.43, restricted : 0.5, dataset : 0, diversity : 0.5, insufficient : 0.48, testing : 0.51, under : 0.45, real : 0.46, world : 0.45, conditions : 0.57, recommendations : 0.62, emphasize : 0.55, need : 0.46, larger : 0, more : 0.46, diverse : 0, datasets : 0, integration : 0.46, additional : 0.41, media : 0.45, spectral : 0.42, data : 0, video : 0.45, enhance : 0.57, model : 0.45, robustness : 0.5 |
| 3. islam | 130 words | 0.84 | systematic : 0.52, literature : 0.52, review : 0, on : 0, the : 0, application : 0.51, of : 0, convolutional : 0.43, neural : 0.46, networks : 0, for : 0, rambutan : 0.55, fruit : 0, classification : 0.53, advances : 0.44, challenges : 0.37, and : 0, future : 0, directions : 0.43, nephelium : 0.44, lappaceum : 0.54, l : 0, is : 0.84, a : 0, tropical : 0.44, widely : 0.58, cultivated : 0.52, in : 0.61, southeast : 0.54, asia : 0.63, including : 0.59, indonesia : 0.49, manual : 0.46, types : 0, ripeness : 0.44, levels : 0.46, remains : 0.4, challenge : 0.37, due : 0, to : 0, high : 0.48, subjectivity : 0.43, time : 0.48, intensive : 0.49, nature : 0.46, process : 0, particularly : 0.45, large : 0, scale : 0.62, agricultural : 0.45, operations : 0.43, network : 0, cnn : 0, deep : 0, learning : 0.55, approach : 0.44, offers : 0, significant : 0.36, potential : 0, automating : 0.53, improving : 0.59, accuracy : 0.44, tasks : 0.47, by : 0, extracting : 0.43, complex : 0.4, visual : 0.7, features : 0.44, such : 0.48, as : 0.57, color : 0.47, texture : 0, this : 0, study : 0.47, employs : 0.45, slr : 0.69, evaluate : 0.38, relevant : 0.55, research : 0.55, from : 0.48, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.38, identify : 0.5, trends : 0, utilizing : 0.54, purpose : 0, results : 0.56, demonstrate : 0.36, that : 0.48, achieves : 0.38, superior : 0.44, 90 : 0, compared : 0.38, traditional : 0.36, methods : 0, like : 0.48, k : 0, nearest : 0.45, neighbor : 0.44, knn : 0, however : 0, limitations : 0.55, include : 0.61, restricted : 0.43, dataset : 0.45, diversity : 0.44, insufficient : 0.57, testing : 0.45, under : 0, real : 0.47, world : 0.47, conditions : 0.43, recommendations : 0.34, emphasize : 0.37, need : 0, larger : 0.58, more : 0, diverse : 0.45, datasets : 0.38, integration : 0.57, additional : 0.37, media : 0.47, spectral : 0.55, data : 0.48, video : 0.47, enhance : 0.45, model : 0, robustness : 0.43 |
| 4. pengembangan | 130 words | 0.63 | systematic : 0.52, literature : 0.41, review : 0.5, on : 0.53, the : 0.47, application : 0.51, of : 0, convolutional : 0.38, neural : 0.47, networks : 0.31, for : 0, rambutan : 0.44, fruit : 0, classification : 0.38, advances : 0.43, challenges : 0.47, and : 0.47, future : 0.42, directions : 0.46, nephelium : 0.59, lappaceum : 0.47, l : 0, is : 0, a : 0, tropical : 0.47, widely : 0.42, cultivated : 0.29, in : 0.53, southeast : 0.46, asia : 0.44, including : 0.42, indonesia : 0.47, manual : 0.47, types : 0.52, ripeness : 0.61, levels : 0.5, remains : 0.51, challenge : 0.49, due : 0.47, to : 0, high : 0.44, subjectivity : 0.28, time : 0.39, intensive : 0.43, nature : 0.33, process : 0.54, particularly : 0.5, large : 0.36, scale : 0.36, agricultural : 0.44, operations : 0.58, network : 0.32, cnn : 0.47, deep : 0.56, learning : 0.55, approach : 0.47, offers : 0.42, significant : 0.48, potential : 0.63, automating : 0.58, improving : 0.43, accuracy : 0.4, tasks : 0, by : 0, extracting : 0.58, complex : 0.39, visual : 0.42, features : 0.43, such : 0, as : 0, color : 0, texture : 0.48, this : 0, study : 0, employs : 0.39, slr : 0, evaluate : 0.53, relevant : 0.49, research : 0.54, from : 0.44, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.38, identify : 0.47, trends : 0.5, utilizing : 0.46, purpose : 0.54, results : 0.41, demonstrate : 0.48, that : 0.44, achieves : 0.47, superior : 0.47, 90 : 0, compared : 0.44, traditional : 0.51, methods : 0.32, like : 0.44, k : 0, nearest : 0.47, neighbor : 0.53, knn : 0.47, however : 0.48, limitations : 0.51, include : 0.32, restricted : 0.46, dataset : 0.32, diversity : 0.4, insufficient : 0.5, testing : 0.56, under : 0.36, real : 0.56, world : 0, conditions : 0.46, recommendations : 0.58, emphasize : 0.49, need : 0.56, larger : 0.33, more : 0.39, diverse : 0.48, datasets : 0.31, integration : 0.56, additional : 0.46, media : 0.51, spectral : 0.54, data : 0.44, video : 0.43, enhance : 0.61, model : 0.36, robustness : 0.35 |
| 5. tekonologi | 130 words | 0.76 | systematic : 0.53, literature : 0.47, review : 0.42, on : 0.73, the : 0.66, application : 0.36, of : 0.53, convolutional : 0.63, neural : 0.49, networks : 0.61, for : 0.48, rambutan : 0.41, fruit : 0.43, classification : 0.39, advances : 0.41, challenges : 0.48, and : 0.48, future : 0.51, directions : 0.48, nephelium : 0.53, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.6, widely : 0.51, cultivated : 0.3, in : 0.53, southeast : 0.38, asia : 0, including : 0.53, indonesia : 0.53, manual : 0.51, types : 0.58, ripeness : 0.48, levels : 0.51, remains : 0.5, challenge : 0.49, due : 0.48, to : 0.76, high : 0, subjectivity : 0.46, time : 0.61, intensive : 0.49, nature : 0.43, process : 0.33, particularly : 0.41, large : 0.43, scale : 0.37, agricultural : 0.39, operations : 0.53, network : 0.64, cnn : 0.48, deep : 0.45, learning : 0.55, approach : 0.41, offers : 0.34, significant : 0.46, potential : 0.62, automating : 0.57, improving : 0.49, accuracy : 0, tasks : 0.58, by : 0, extracting : 0.5, complex : 0.41, visual : 0.42, features : 0.32, such : 0, as : 0, color : 0.52, texture : 0.6, this : 0.51, study : 0.43, employs : 0.47, slr : 0, evaluate : 0.48, relevant : 0.45, research : 0.41, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.48, identify : 0.51, trends : 0.64, utilizing : 0.55, purpose : 0.41, results : 0.5, demonstrate : 0.52, that : 0.51, achieves : 0.41, superior : 0.45, 90 : 0, compared : 0.41, traditional : 0.57, methods : 0.47, like : 0.4, k : 0.7, nearest : 0.33, neighbor : 0.39, knn : 0.62, however : 0.33, limitations : 0.41, include : 0.5, restricted : 0.42, dataset : 0.5, diversity : 0.47, insufficient : 0.46, testing : 0.73, under : 0.37, real : 0.57, world : 0.53, conditions : 0.52, recommendations : 0.54, emphasize : 0.47, need : 0.4, larger : 0.42, more : 0.4, diverse : 0.41, datasets : 0.48, integration : 0.55, additional : 0.53, media : 0.43, spectral : 0.45, data : 0.45, video : 0.53, enhance : 0.5, model : 0.52, robustness : 0.47 |
| 6. kedalam | 130 words | 0.74 | systematic : 0.47, literature : 0.41, review : 0.44, on : 0, the : 0.49, application : 0.57, of : 0, convolutional : 0.41, neural : 0.64, networks : 0.42, for : 0, rambutan : 0.51, fruit : 0, classification : 0.44, advances : 0.49, challenges : 0.41, and : 0.49, future : 0, directions : 0.33, nephelium : 0.59, lappaceum : 0.59, l : 0, is : 0, a : 0, tropical : 0.51, widely : 0.53, cultivated : 0.33, in : 0, southeast : 0.42, asia : 0.46, including : 0.34, indonesia : 0.5, manual : 0.53, types : 0.45, ripeness : 0.42, levels : 0.54, remains : 0.52, challenge : 0.5, due : 0.48, to : 0, high : 0, subjectivity : 0.41, time : 0.46, intensive : 0.42, nature : 0.44, process : 0, particularly : 0.56, large : 0.45, scale : 0.56, agricultural : 0.56, operations : 0.5, network : 0.43, cnn : 0, deep : 0.43, learning : 0.51, approach : 0.51, offers : 0.44, significant : 0.41, potential : 0.5, automating : 0.47, improving : 0, accuracy : 0.51, tasks : 0.45, by : 0, extracting : 0.5, complex : 0.43, visual : 0.54, features : 0.51, such : 0, as : 0, color : 0.45, texture : 0.43, this : 0, study : 0.45, employs : 0.52, slr : 0, evaluate : 0.69, relevant : 0.49, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.49, identify : 0.35, trends : 0.54, utilizing : 0.42, purpose : 0, results : 0.52, demonstrate : 0.48, that : 0.46, achieves : 0.35, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.46, methods : 0.43, like : 0.6, k : 0.74, nearest : 0.52, neighbor : 0.42, knn : 0.54, however : 0.43, limitations : 0.4, include : 0.43, restricted : 0.41, dataset : 0.62, diversity : 0.34, insufficient : 0, testing : 0.43, under : 0.4, real : 0.73, world : 0.4, conditions : 0.41, recommendations : 0.49, emphasize : 0.5, need : 0.6, larger : 0.44, more : 0.46, diverse : 0.36, datasets : 0.6, integration : 0.49, additional : 0.47, media : 0.68, spectral : 0.6, data : 0.73, video : 0.4, enhance : 0.52, model : 0.57, robustness : 0 |
| 7. sistem | 130 words | 0.8 | systematic : 0.8, literature : 0.6, review : 0.56, on : 0, the : 0.5, application : 0.51, of : 0, convolutional : 0.41, neural : 0, networks : 0.36, for : 0, rambutan : 0.36, fruit : 0.58, classification : 0.46, advances : 0.43, challenges : 0.42, and : 0, future : 0.56, directions : 0.49, nephelium : 0.52, lappaceum : 0.52, l : 0, is : 0.61, a : 0, tropical : 0.36, widely : 0.56, cultivated : 0.49, in : 0.56, southeast : 0.65, asia : 0.61, including : 0.43, indonesia : 0.52, manual : 0, types : 0.41, ripeness : 0.53, levels : 0.44, remains : 0, challenge : 0.43, due : 0.5, to : 0, high : 0.47, subjectivity : 0.52, time : 0.61, intensive : 0.58, nature : 0.56, process : 0.44, particularly : 0.33, large : 0.46, scale : 0.62, agricultural : 0.5, operations : 0.34, network : 0.44, cnn : 0, deep : 0.47, learning : 0.43, approach : 0, offers : 0.44, significant : 0.6, potential : 0.52, automating : 0.51, improving : 0.43, accuracy : 0, tasks : 0.58, by : 0, extracting : 0.34, complex : 0.44, visual : 0.39, features : 0.36, such : 0.52, as : 0.56, color : 0, texture : 0.54, this : 0.61, study : 0.62, employs : 0, slr : 0.55, evaluate : 0.53, relevant : 0.43, research : 0.36, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.51, trends : 0.44, utilizing : 0.35, purpose : 0.44, results : 0.54, demonstrate : 0.51, that : 0.47, achieves : 0.53, superior : 0.58, 90 : 0, compared : 0.36, traditional : 0.34, methods : 0.44, like : 0.61, k : 0, nearest : 0.44, neighbor : 0.36, knn : 0, however : 0.44, limitations : 0.48, include : 0.54, restricted : 0.56, dataset : 0.53, diversity : 0.5, insufficient : 0.47, testing : 0.54, under : 0.46, real : 0, world : 0, conditions : 0.51, recommendations : 0.49, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0.47, diverse : 0.54, datasets : 0.51, integration : 0.59, additional : 0.51, media : 0.46, spectral : 0.56, data : 0.47, video : 0.58, enhance : 0.44, model : 0.46, robustness : 0.6 |
| 8. syariah | 130 words | 0.77 | systematic : 0.73, literature : 0.47, review : 0.44, on : 0, the : 0, application : 0.57, of : 0, convolutional : 0.41, neural : 0.37, networks : 0.42, for : 0.49, rambutan : 0.49, fruit : 0.56, classification : 0.54, advances : 0.51, challenges : 0.41, and : 0.49, future : 0.44, directions : 0.33, nephelium : 0.34, lappaceum : 0.5, l : 0, is : 0.55, a : 0.71, tropical : 0.6, widely : 0, cultivated : 0.33, in : 0, southeast : 0.53, asia : 0.77, including : 0.42, indonesia : 0.5, manual : 0.54, types : 0.45, ripeness : 0.51, levels : 0, remains : 0.52, challenge : 0.42, due : 0, to : 0, high : 0, subjectivity : 0.54, time : 0, intensive : 0.42, nature : 0.54, process : 0.43, particularly : 0.63, large : 0.56, scale : 0.61, agricultural : 0.63, operations : 0.47, network : 0.43, cnn : 0, deep : 0, learning : 0.6, approach : 0.69, offers : 0.44, significant : 0.61, potential : 0.5, automating : 0.47, improving : 0.5, accuracy : 0.6, tasks : 0.4, by : 0.55, extracting : 0.47, complex : 0, visual : 0.54, features : 0.51, such : 0.52, as : 0.6, color : 0.45, texture : 0.43, this : 0.46, study : 0.5, employs : 0, slr : 0.69, evaluate : 0.51, relevant : 0.35, research : 0.57, from : 0.46, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.49, identify : 0.42, trends : 0.44, utilizing : 0.42, purpose : 0.43, results : 0.43, demonstrate : 0.49, that : 0.46, achieves : 0.51, superior : 0.64, 90 : 0, compared : 0.51, traditional : 0.56, methods : 0, like : 0, k : 0, nearest : 0.52, neighbor : 0.51, knn : 0, however : 0, limitations : 0.32, include : 0, restricted : 0.47, dataset : 0.52, diversity : 0.34, insufficient : 0.32, testing : 0.52, under : 0.45, real : 0.46, world : 0.45, conditions : 0.41, recommendations : 0.47, emphasize : 0.42, need : 0, larger : 0.54, more : 0.46, diverse : 0.43, datasets : 0.51, integration : 0.46, additional : 0.58, media : 0.4, spectral : 0.64, data : 0.6, video : 0, enhance : 0.43, model : 0, robustness : 0.33 |
| 9. berfokus | 130 words | 0.68 | systematic : 0.41, literature : 0.56, review : 0.36, on : 0, the : 0.49, application : 0, of : 0.54, convolutional : 0.47, neural : 0.53, networks : 0.68, for : 0.63, rambutan : 0.47, fruit : 0.38, classification : 0.3, advances : 0.42, challenges : 0.48, and : 0, future : 0.46, directions : 0.55, nephelium : 0.49, lappaceum : 0.41, l : 0, is : 0, a : 0, tropical : 0.5, widely : 0.43, cultivated : 0, in : 0, southeast : 0.49, asia : 0, including : 0.41, indonesia : 0.49, manual : 0.43, types : 0.55, ripeness : 0.47, levels : 0.53, remains : 0.49, challenge : 0, due : 0.49, to : 0.54, high : 0, subjectivity : 0.38, time : 0.46, intensive : 0.49, nature : 0.36, process : 0.57, particularly : 0.47, large : 0.38, scale : 0.44, agricultural : 0.47, operations : 0.51, network : 0.61, cnn : 0, deep : 0.46, learning : 0.5, approach : 0.5, offers : 0.6, significant : 0.41, potential : 0.32, automating : 0.41, improving : 0.49, accuracy : 0.33, tasks : 0.55, by : 0.59, extracting : 0.48, complex : 0.42, visual : 0.43, features : 0.62, such : 0, as : 0, color : 0.38, texture : 0.49, this : 0, study : 0, employs : 0.6, slr : 0.49, evaluate : 0.5, relevant : 0.33, research : 0.33, from : 0.6, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.5, trends : 0.51, utilizing : 0, purpose : 0.6, results : 0.61, demonstrate : 0.55, that : 0, achieves : 0.5, superior : 0.58, 90 : 0, compared : 0.33, traditional : 0.48, methods : 0.6, like : 0.42, k : 0, nearest : 0.6, neighbor : 0.5, knn : 0, however : 0.35, limitations : 0.48, include : 0.42, restricted : 0.32, dataset : 0.42, diversity : 0.57, insufficient : 0.43, testing : 0.42, under : 0.55, real : 0.42, world : 0.38, conditions : 0.48, recommendations : 0.41, emphasize : 0.49, need : 0.46, larger : 0.36, more : 0.6, diverse : 0.6, datasets : 0.42, integration : 0.48, additional : 0.41, media : 0.44, spectral : 0.5, data : 0, video : 0.55, enhance : 0.42, model : 0.38, robustness : 0.61 |
| 10. aktivitas | 130 words | 0.73 | systematic : 0.53, literature : 0.45, review : 0.35, on : 0, the : 0.48, application : 0.64, of : 0, convolutional : 0.46, neural : 0.43, networks : 0.49, for : 0, rambutan : 0.57, fruit : 0.37, classification : 0.62, advances : 0.61, challenges : 0.47, and : 0.53, future : 0.43, directions : 0.53, nephelium : 0.41, lappaceum : 0.48, l : 0, is : 0.54, a : 0.73, tropical : 0.57, widely : 0.43, cultivated : 0.62, in : 0.54, southeast : 0.5, asia : 0.62, including : 0.48, indonesia : 0.5, manual : 0.52, types : 0.44, ripeness : 0.49, levels : 0.52, remains : 0.59, challenge : 0.41, due : 0, to : 0.54, high : 0.45, subjectivity : 0.66, time : 0.57, intensive : 0.57, nature : 0.52, process : 0.42, particularly : 0.59, large : 0.44, scale : 0.44, agricultural : 0.56, operations : 0.61, network : 0.42, cnn : 0, deep : 0, learning : 0.49, approach : 0.54, offers : 0.43, significant : 0.52, potential : 0.55, automating : 0.66, improving : 0.56, accuracy : 0.54, tasks : 0.48, by : 0, extracting : 0.45, complex : 0, visual : 0.52, features : 0.57, such : 0, as : 0.58, color : 0, texture : 0.5, this : 0.57, study : 0.44, employs : 0.42, slr : 0, evaluate : 0.48, relevant : 0.46, research : 0.41, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.47, identify : 0.46, trends : 0.52, utilizing : 0.56, purpose : 0.42, results : 0.5, demonstrate : 0.52, that : 0.58, achieves : 0.68, superior : 0.41, 90 : 0, compared : 0.41, traditional : 0.63, methods : 0.5, like : 0.41, k : 0.7, nearest : 0.48, neighbor : 0.41, knn : 0.48, however : 0.42, limitations : 0.63, include : 0.42, restricted : 0.54, dataset : 0.59, diversity : 0.6, insufficient : 0.53, testing : 0.48, under : 0, real : 0.45, world : 0, conditions : 0.53, recommendations : 0.49, emphasize : 0.39, need : 0, larger : 0.43, more : 0, diverse : 0.59, datasets : 0.65, integration : 0.54, additional : 0.66, media : 0.54, spectral : 0.49, data : 0.57, video : 0.44, enhance : 0.42, model : 0, robustness : 0.31 |
| 11. transaksi | 130 words | 0.87 | systematic : 0.49, literature : 0.54, review : 0.43, on : 0.54, the : 0.53, application : 0.42, of : 0, convolutional : 0.46, neural : 0.44, networks : 0.48, for : 0.48, rambutan : 0.57, fruit : 0.44, classification : 0.54, advances : 0.52, challenges : 0.54, and : 0.63, future : 0.52, directions : 0.43, nephelium : 0.48, lappaceum : 0.48, l : 0, is : 0.54, a : 0.7, tropical : 0.66, widely : 0, cultivated : 0.43, in : 0.54, southeast : 0.44, asia : 0.69, including : 0.48, indonesia : 0.55, manual : 0.61, types : 0.59, ripeness : 0.65, levels : 0.43, remains : 0.67, challenge : 0.48, due : 0, to : 0.58, high : 0, subjectivity : 0.46, time : 0.51, intensive : 0.55, nature : 0.54, process : 0.59, particularly : 0.52, large : 0.37, scale : 0.44, agricultural : 0.43, operations : 0.53, network : 0.48, cnn : 0.48, deep : 0, learning : 0.56, approach : 0.46, offers : 0.52, significant : 0.44, potential : 0.55, automating : 0.53, improving : 0.48, accuracy : 0.46, tasks : 0.87, by : 0, extracting : 0.61, complex : 0, visual : 0.35, features : 0.46, such : 0, as : 0.74, color : 0.44, texture : 0.48, this : 0.62, study : 0.44, employs : 0.42, slr : 0.48, evaluate : 0.49, relevant : 0.57, research : 0.46, from : 0.45, 2019 : 0, 2024 : 0, was : 0.63, analyzed : 0.57, identify : 0.49, trends : 0.76, utilizing : 0.48, purpose : 0.5, results : 0.59, demonstrate : 0.54, that : 0.62, achieves : 0.49, superior : 0.49, 90 : 0, compared : 0.41, traditional : 0.72, methods : 0.5, like : 0, k : 0, nearest : 0.59, neighbor : 0.41, knn : 0.48, however : 0, limitations : 0.52, include : 0.42, restricted : 0.49, dataset : 0.51, diversity : 0.56, insufficient : 0.53, testing : 0.53, under : 0.37, real : 0.57, world : 0.44, conditions : 0.43, recommendations : 0.57, emphasize : 0.56, need : 0.45, larger : 0.35, more : 0.45, diverse : 0.5, datasets : 0.59, integration : 0.54, additional : 0.52, media : 0.44, spectral : 0.41, data : 0.58, video : 0, enhance : 0.34, model : 0, robustness : 0.53 |
| 12. pasar | 130 words | 0.8 | systematic : 0.53, literature : 0.37, review : 0, on : 0, the : 0, application : 0.51, of : 0, convolutional : 0, neural : 0.41, networks : 0.44, for : 0, rambutan : 0.55, fruit : 0, classification : 0.6, advances : 0.55, challenges : 0.43, and : 0.51, future : 0.46, directions : 0.43, nephelium : 0.44, lappaceum : 0.53, l : 0, is : 0.57, a : 0.73, tropical : 0.49, widely : 0, cultivated : 0.43, in : 0, southeast : 0.54, asia : 0.78, including : 0, indonesia : 0, manual : 0.58, types : 0, ripeness : 0.44, levels : 0, remains : 0.45, challenge : 0.44, due : 0, to : 0, high : 0, subjectivity : 0.43, time : 0, intensive : 0.44, nature : 0.58, process : 0.5, particularly : 0.7, large : 0.47, scale : 0.47, agricultural : 0.52, operations : 0.52, network : 0.45, cnn : 0, deep : 0, learning : 0.55, approach : 0.6, offers : 0.46, significant : 0.43, potential : 0.49, automating : 0.53, improving : 0.54, accuracy : 0.55, tasks : 0.6, by : 0, extracting : 0.37, complex : 0, visual : 0.58, features : 0.55, such : 0, as : 0.8, color : 0.47, texture : 0.45, this : 0.48, study : 0, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.44, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0.69, analyzed : 0.55, identify : 0, trends : 0, utilizing : 0, purpose : 0.61, results : 0.45, demonstrate : 0.53, that : 0.48, achieves : 0.44, superior : 0.55, 90 : 0, compared : 0.66, traditional : 0.36, methods : 0, like : 0, k : 0, nearest : 0.56, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.43, include : 0, restricted : 0.37, dataset : 0.57, diversity : 0.37, insufficient : 0.43, testing : 0.45, under : 0.47, real : 0.48, world : 0, conditions : 0, recommendations : 0.34, emphasize : 0.64, need : 0, larger : 0.58, more : 0, diverse : 0.45, datasets : 0.55, integration : 0.36, additional : 0.43, media : 0.47, spectral : 0.6, data : 0.63, video : 0, enhance : 0.45, model : 0, robustness : 0.37 |
| 13. berlangsung | 130 words | 0.7 | systematic : 0.46, literature : 0.55, review : 0.34, on : 0.53, the : 0.47, application : 0.4, of : 0, convolutional : 0.47, neural : 0.59, networks : 0.55, for : 0.47, rambutan : 0.53, fruit : 0.43, classification : 0.55, advances : 0.55, challenges : 0.66, and : 0.62, future : 0.34, directions : 0.5, nephelium : 0.54, lappaceum : 0.54, l : 0.7, is : 0, a : 0.7, tropical : 0.44, widely : 0.51, cultivated : 0.46, in : 0.53, southeast : 0.54, asia : 0.45, including : 0.5, indonesia : 0.44, manual : 0.42, types : 0.53, ripeness : 0.54, levels : 0.48, remains : 0.66, challenge : 0.6, due : 0.47, to : 0, high : 0.45, subjectivity : 0.45, time : 0.45, intensive : 0.42, nature : 0.48, process : 0.46, particularly : 0.4, large : 0.65, scale : 0.51, agricultural : 0.46, operations : 0.65, network : 0.49, cnn : 0.47, deep : 0.45, learning : 0.69, approach : 0.31, offers : 0.59, significant : 0.49, potential : 0.42, automating : 0.52, improving : 0.54, accuracy : 0.31, tasks : 0.53, by : 0.58, extracting : 0.65, complex : 0.32, visual : 0.34, features : 0.56, such : 0, as : 0.53, color : 0.36, texture : 0.46, this : 0.45, study : 0, employs : 0.57, slr : 0.45, evaluate : 0.54, relevant : 0.63, research : 0.44, from : 0.45, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.38, identify : 0.48, trends : 0.59, utilizing : 0.54, purpose : 0.49, results : 0.56, demonstrate : 0.45, that : 0.45, achieves : 0.44, superior : 0.48, 90 : 0, compared : 0.31, traditional : 0.52, methods : 0.49, like : 0.39, k : 0, nearest : 0.56, neighbor : 0.48, knn : 0.47, however : 0.49, limitations : 0.58, include : 0.46, restricted : 0.29, dataset : 0.4, diversity : 0.54, insufficient : 0.57, testing : 0.57, under : 0.46, real : 0.62, world : 0.53, conditions : 0.41, recommendations : 0.46, emphasize : 0.54, need : 0.45, larger : 0.6, more : 0.39, diverse : 0.57, datasets : 0.38, integration : 0.56, additional : 0.46, media : 0.53, spectral : 0.54, data : 0.45, video : 0.43, enhance : 0.46, model : 0.53, robustness : 0.42 |
| 14. tranformasi | 130 words | 0.75 | systematic : 0.5, literature : 0.59, review : 0.42, on : 0.53, the : 0.53, application : 0.45, of : 0.53, convolutional : 0.39, neural : 0.42, networks : 0.56, for : 0.59, rambutan : 0.54, fruit : 0.51, classification : 0.47, advances : 0.55, challenges : 0.52, and : 0.62, future : 0.42, directions : 0.46, nephelium : 0.42, lappaceum : 0.42, l : 0, is : 0, a : 0.7, tropical : 0.63, widely : 0, cultivated : 0.46, in : 0.53, southeast : 0.48, asia : 0.45, including : 0.47, indonesia : 0.57, manual : 0.59, types : 0.49, ripeness : 0.55, levels : 0.42, remains : 0.65, challenge : 0.47, due : 0, to : 0.75, high : 0, subjectivity : 0.39, time : 0.5, intensive : 0.52, nature : 0.51, process : 0.57, particularly : 0.49, large : 0.36, scale : 0.43, agricultural : 0.48, operations : 0.55, network : 0.48, cnn : 0.47, deep : 0, learning : 0.44, approach : 0.54, offers : 0.48, significant : 0.49, potential : 0.5, automating : 0.66, improving : 0.48, accuracy : 0.44, tasks : 0.57, by : 0, extracting : 0.59, complex : 0.41, visual : 0.42, features : 0.56, such : 0, as : 0.53, color : 0.36, texture : 0.54, this : 0.5, study : 0.43, employs : 0.49, slr : 0.47, evaluate : 0.48, relevant : 0.55, research : 0.55, from : 0.7, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.48, identify : 0.44, trends : 0.74, utilizing : 0.42, purpose : 0.57, results : 0.49, demonstrate : 0.47, that : 0.6, achieves : 0.48, superior : 0.55, 90 : 0, compared : 0.44, traditional : 0.73, methods : 0.57, like : 0, k : 0, nearest : 0.56, neighbor : 0.55, knn : 0.47, however : 0.49, limitations : 0.54, include : 0.41, restricted : 0.41, dataset : 0.32, diversity : 0.54, insufficient : 0.51, testing : 0.54, under : 0.36, real : 0.56, world : 0.36, conditions : 0.42, recommendations : 0.58, emphasize : 0.54, need : 0.45, larger : 0.48, more : 0.39, diverse : 0.49, datasets : 0.44, integration : 0.53, additional : 0.52, media : 0.43, spectral : 0.55, data : 0.39, video : 0.43, enhance : 0.32, model : 0.43, robustness : 0.5 |
| 15. memegang | 130 words | 0.73 | systematic : 0.56, literature : 0.48, review : 0.53, on : 0, the : 0.49, application : 0.48, of : 0, convolutional : 0.4, neural : 0.53, networks : 0.42, for : 0, rambutan : 0.58, fruit : 0, classification : 0.4, advances : 0.42, challenges : 0.47, and : 0, future : 0.43, directions : 0.48, nephelium : 0.49, lappaceum : 0.32, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0.43, cultivated : 0.41, in : 0, southeast : 0.49, asia : 0.46, including : 0.49, indonesia : 0.4, manual : 0.58, types : 0.44, ripeness : 0.47, levels : 0.53, remains : 0.61, challenge : 0.48, due : 0.49, to : 0, high : 0.46, subjectivity : 0.4, time : 0.58, intensive : 0.49, nature : 0.43, process : 0.42, particularly : 0.4, large : 0.38, scale : 0.38, agricultural : 0.31, operations : 0.56, network : 0.42, cnn : 0, deep : 0.58, learning : 0.54, approach : 0.42, offers : 0.43, significant : 0.44, potential : 0.46, automating : 0.63, improving : 0.57, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.63, complex : 0.51, visual : 0.43, features : 0.47, such : 0, as : 0, color : 0, texture : 0.51, this : 0, study : 0, employs : 0.35, slr : 0, evaluate : 0.5, relevant : 0.67, research : 0.58, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.33, identify : 0.5, trends : 0.53, utilizing : 0.49, purpose : 0.42, results : 0.42, demonstrate : 0.45, that : 0.46, achieves : 0.5, superior : 0.42, 90 : 0, compared : 0.47, traditional : 0.48, methods : 0.61, like : 0.46, k : 0, nearest : 0.49, neighbor : 0.5, knn : 0, however : 0.51, limitations : 0.55, include : 0.42, restricted : 0.41, dataset : 0.35, diversity : 0.41, insufficient : 0.4, testing : 0.49, under : 0.44, real : 0.58, world : 0, conditions : 0.41, recommendations : 0.61, emphasize : 0.46, need : 0.58, larger : 0.36, more : 0.63, diverse : 0.51, datasets : 0.33, integration : 0.62, additional : 0.32, media : 0.73, spectral : 0.5, data : 0.46, video : 0.44, enhance : 0.57, model : 0.6, robustness : 0.32 |
| 16. sektor | 130 words | 0.75 | systematic : 0.54, literature : 0.49, review : 0.44, on : 0, the : 0.5, application : 0.42, of : 0, convolutional : 0.33, neural : 0.56, networks : 0.72, for : 0, rambutan : 0.43, fruit : 0.46, classification : 0.41, advances : 0, challenges : 0.42, and : 0, future : 0.56, directions : 0.52, nephelium : 0.43, lappaceum : 0, l : 0, is : 0.56, a : 0, tropical : 0.53, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.55, asia : 0.47, including : 0, indonesia : 0.43, manual : 0, types : 0.46, ripeness : 0.43, levels : 0.44, remains : 0.44, challenge : 0, due : 0.5, to : 0, high : 0, subjectivity : 0.63, time : 0.47, intensive : 0.35, nature : 0.56, process : 0.44, particularly : 0.33, large : 0, scale : 0.51, agricultural : 0.33, operations : 0.52, network : 0.75, cnn : 0, deep : 0.47, learning : 0.53, approach : 0.36, offers : 0.56, significant : 0.48, potential : 0.5, automating : 0.51, improving : 0.35, accuracy : 0.43, tasks : 0.58, by : 0, extracting : 0.6, complex : 0, visual : 0.44, features : 0.63, such : 0.52, as : 0.56, color : 0.58, texture : 0.64, this : 0, study : 0.62, employs : 0.54, slr : 0.55, evaluate : 0.53, relevant : 0.43, research : 0.51, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0, identify : 0.53, trends : 0.44, utilizing : 0.43, purpose : 0.44, results : 0.53, demonstrate : 0.59, that : 0.47, achieves : 0.43, superior : 0.67, 90 : 0, compared : 0.53, traditional : 0.48, methods : 0.64, like : 0.44, k : 0.72, nearest : 0.54, neighbor : 0.63, knn : 0.5, however : 0.54, limitations : 0.51, include : 0, restricted : 0.61, dataset : 0.44, diversity : 0.52, insufficient : 0.42, testing : 0.53, under : 0.58, real : 0.47, world : 0, conditions : 0.34, recommendations : 0.4, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0.47, diverse : 0.54, datasets : 0.43, integration : 0.48, additional : 0.51, media : 0.46, spectral : 0.75, data : 0.47, video : 0.58, enhance : 0.44, model : 0.46, robustness : 0.43 |
| 17. bidang | 130 words | 0.63 | systematic : 0.42, literature : 0.51, review : 0.44, on : 0, the : 0, application : 0.34, of : 0, convolutional : 0.41, neural : 0.44, networks : 0, for : 0, rambutan : 0.51, fruit : 0.46, classification : 0.33, advances : 0.51, challenges : 0.6, and : 0.5, future : 0, directions : 0.49, nephelium : 0, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0.53, widely : 0.56, cultivated : 0.51, in : 0.56, southeast : 0.43, asia : 0.61, including : 0.62, indonesia : 0.5, manual : 0.56, types : 0, ripeness : 0.53, levels : 0, remains : 0.54, challenge : 0.61, due : 0.5, to : 0, high : 0.47, subjectivity : 0.42, time : 0.47, intensive : 0.52, nature : 0.44, process : 0, particularly : 0.33, large : 0.58, scale : 0.46, agricultural : 0.42, operations : 0.51, network : 0, cnn : 0.5, deep : 0.47, learning : 0.63, approach : 0.43, offers : 0, significant : 0.48, potential : 0.43, automating : 0.6, improving : 0.61, accuracy : 0.43, tasks : 0.46, by : 0.6, extracting : 0.6, complex : 0, visual : 0.56, features : 0.43, such : 0, as : 0, color : 0, texture : 0, this : 0.47, study : 0.46, employs : 0, slr : 0, evaluate : 0.43, relevant : 0.53, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.53, identify : 0.63, trends : 0.39, utilizing : 0.61, purpose : 0, results : 0, demonstrate : 0.51, that : 0.47, achieves : 0.36, superior : 0, 90 : 0, compared : 0.43, traditional : 0.59, methods : 0, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.53, knn : 0.5, however : 0, limitations : 0.51, include : 0.44, restricted : 0.42, dataset : 0.54, diversity : 0.35, insufficient : 0.5, testing : 0.54, under : 0.46, real : 0.47, world : 0.46, conditions : 0.49, recommendations : 0.4, emphasize : 0.43, need : 0.47, larger : 0.56, more : 0, diverse : 0.37, datasets : 0.53, integration : 0.55, additional : 0.61, media : 0.59, spectral : 0.43, data : 0.61, video : 0.58, enhance : 0.54, model : 0.46, robustness : 0.51 |
| 18. lingkup | 130 words | 0.78 | systematic : 0, literature : 0.66, review : 0.44, on : 0.55, the : 0, application : 0.4, of : 0, convolutional : 0.44, neural : 0.44, networks : 0.51, for : 0, rambutan : 0.42, fruit : 0.45, classification : 0.48, advances : 0.42, challenges : 0.58, and : 0.49, future : 0.44, directions : 0.41, nephelium : 0.5, lappaceum : 0.53, l : 0.74, is : 0.55, a : 0, tropical : 0.35, widely : 0.44, cultivated : 0.41, in : 0.76, southeast : 0.42, asia : 0.46, including : 0.55, indonesia : 0.5, manual : 0.54, types : 0, ripeness : 0.51, levels : 0.49, remains : 0, challenge : 0.42, due : 0, to : 0, high : 0.6, subjectivity : 0.41, time : 0.46, intensive : 0.5, nature : 0.54, process : 0, particularly : 0.48, large : 0.61, scale : 0, agricultural : 0.45, operations : 0, network : 0.52, cnn : 0.49, deep : 0, learning : 0.56, approach : 0, offers : 0, significant : 0.46, potential : 0.42, automating : 0.41, improving : 0.42, accuracy : 0.42, tasks : 0.45, by : 0, extracting : 0, complex : 0, visual : 0.54, features : 0.42, such : 0, as : 0, color : 0.45, texture : 0.43, this : 0.46, study : 0, employs : 0, slr : 0.49, evaluate : 0.51, relevant : 0.42, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.35, identify : 0.51, trends : 0.44, utilizing : 0.34, purpose : 0, results : 0.43, demonstrate : 0.41, that : 0, achieves : 0.42, superior : 0, 90 : 0, compared : 0.42, traditional : 0.41, methods : 0, like : 0.78, k : 0, nearest : 0.43, neighbor : 0.49, knn : 0.49, however : 0, limitations : 0.59, include : 0.62, restricted : 0.41, dataset : 0, diversity : 0.42, insufficient : 0.56, testing : 0, under : 0.45, real : 0, world : 0, conditions : 0.33, recommendations : 0.4, emphasize : 0, need : 0.46, larger : 0.59, more : 0, diverse : 0.43, datasets : 0, integration : 0.57, additional : 0.41, media : 0.45, spectral : 0, data : 0, video : 0.45, enhance : 0.43, model : 0, robustness : 0.33 |
| 19. mikro | 130 words | 0.67 | systematic : 0, literature : 0.53, review : 0.46, on : 0, the : 0, application : 0.43, of : 0, convolutional : 0.43, neural : 0.46, networks : 0.38, for : 0.51, rambutan : 0.38, fruit : 0, classification : 0.42, advances : 0, challenges : 0, and : 0, future : 0.46, directions : 0.63, nephelium : 0, lappaceum : 0, l : 0, is : 0.57, a : 0, tropical : 0.49, widely : 0.46, cultivated : 0.43, in : 0.57, southeast : 0.44, asia : 0.48, including : 0.44, indonesia : 0.54, manual : 0.51, types : 0, ripeness : 0.38, levels : 0, remains : 0.45, challenge : 0, due : 0, to : 0, high : 0.48, subjectivity : 0, time : 0.48, intensive : 0.44, nature : 0.46, process : 0.56, particularly : 0.36, large : 0.47, scale : 0, agricultural : 0.36, operations : 0.37, network : 0.4, cnn : 0, deep : 0, learning : 0.44, approach : 0.55, offers : 0.46, significant : 0.43, potential : 0.44, automating : 0.37, improving : 0.66, accuracy : 0.44, tasks : 0.47, by : 0, extracting : 0.43, complex : 0.45, visual : 0.46, features : 0.44, such : 0, as : 0, color : 0.43, texture : 0.45, this : 0.48, study : 0, employs : 0.56, slr : 0.51, evaluate : 0, relevant : 0.44, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.44, trends : 0.46, utilizing : 0.44, purpose : 0.56, results : 0, demonstrate : 0.51, that : 0, achieves : 0.44, superior : 0.55, 90 : 0, compared : 0.49, traditional : 0.51, methods : 0.61, like : 0.63, k : 0, nearest : 0.45, neighbor : 0.55, knn : 0, however : 0, limitations : 0.51, include : 0.45, restricted : 0.37, dataset : 0, diversity : 0.54, insufficient : 0.43, testing : 0, under : 0.47, real : 0, world : 0.47, conditions : 0.37, recommendations : 0.43, emphasize : 0.44, need : 0, larger : 0.46, more : 0.67, diverse : 0.56, datasets : 0, integration : 0.53, additional : 0.53, media : 0.52, spectral : 0.44, data : 0, video : 0.6, enhance : 0, model : 0.52, robustness : 0.53 |
| 20. makro | 130 words | 0.73 | systematic : 0, literature : 0.37, review : 0, on : 0, the : 0, application : 0.43, of : 0, convolutional : 0.43, neural : 0.46, networks : 0.38, for : 0.51, rambutan : 0.55, fruit : 0, classification : 0.42, advances : 0.44, challenges : 0.43, and : 0.51, future : 0.46, directions : 0.53, nephelium : 0, lappaceum : 0.44, l : 0, is : 0, a : 0.73, tropical : 0.55, widely : 0, cultivated : 0, in : 0, southeast : 0.44, asia : 0.48, including : 0, indonesia : 0.44, manual : 0.66, types : 0, ripeness : 0.44, levels : 0, remains : 0.56, challenge : 0.44, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.58, process : 0.56, particularly : 0.52, large : 0.6, scale : 0.47, agricultural : 0.52, operations : 0.52, network : 0.4, cnn : 0, deep : 0, learning : 0.55, approach : 0.66, offers : 0.46, significant : 0, potential : 0.44, automating : 0.47, improving : 0.64, accuracy : 0.55, tasks : 0.6, by : 0, extracting : 0.37, complex : 0.45, visual : 0, features : 0.55, such : 0, as : 0.57, color : 0.43, texture : 0.45, this : 0, study : 0, employs : 0.56, slr : 0.51, evaluate : 0.44, relevant : 0.44, research : 0.38, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.44, identify : 0, trends : 0.46, utilizing : 0, purpose : 0.56, results : 0, demonstrate : 0.51, that : 0.48, achieves : 0.44, superior : 0.55, 90 : 0, compared : 0.6, traditional : 0.51, methods : 0.61, like : 0.48, k : 0, nearest : 0.56, neighbor : 0.44, knn : 0, however : 0, limitations : 0.62, include : 0, restricted : 0.43, dataset : 0.45, diversity : 0.44, insufficient : 0, testing : 0, under : 0.47, real : 0.48, world : 0.47, conditions : 0.43, recommendations : 0.43, emphasize : 0.54, need : 0, larger : 0.58, more : 0.67, diverse : 0.45, datasets : 0.44, integration : 0.43, additional : 0.53, media : 0.52, spectral : 0.44, data : 0.48, video : 0.47, enhance : 0.45, model : 0.52, robustness : 0.53 |
| 21. perkembangan | 130 words | 0.69 | systematic : 0.52, literature : 0.49, review : 0.47, on : 0, the : 0.47, application : 0.51, of : 0, convolutional : 0.27, neural : 0.58, networks : 0.54, for : 0.47, rambutan : 0.68, fruit : 0.43, classification : 0.38, advances : 0.38, challenges : 0.51, and : 0, future : 0.33, directions : 0.41, nephelium : 0.51, lappaceum : 0.47, l : 0, is : 0, a : 0, tropical : 0.43, widely : 0.42, cultivated : 0.29, in : 0, southeast : 0.46, asia : 0.44, including : 0.46, indonesia : 0.36, manual : 0.5, types : 0.52, ripeness : 0.51, levels : 0.5, remains : 0.64, challenge : 0.52, due : 0.47, to : 0, high : 0, subjectivity : 0.28, time : 0.39, intensive : 0.42, nature : 0.33, process : 0.5, particularly : 0.55, large : 0.36, scale : 0.36, agricultural : 0.44, operations : 0.64, network : 0.56, cnn : 0, deep : 0.56, learning : 0.64, approach : 0.54, offers : 0.5, significant : 0.4, potential : 0.56, automating : 0.58, improving : 0.56, accuracy : 0.47, tasks : 0.43, by : 0, extracting : 0.64, complex : 0.39, visual : 0.42, features : 0.49, such : 0, as : 0, color : 0.43, texture : 0.56, this : 0, study : 0, employs : 0.39, slr : 0.47, evaluate : 0.53, relevant : 0.61, research : 0.53, from : 0.56, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.31, identify : 0.47, trends : 0.47, utilizing : 0.46, purpose : 0.5, results : 0.32, demonstrate : 0.49, that : 0.44, achieves : 0.47, superior : 0.54, 90 : 0, compared : 0.51, traditional : 0.57, methods : 0.32, like : 0.39, k : 0.69, nearest : 0.51, neighbor : 0.43, knn : 0.47, however : 0.45, limitations : 0.51, include : 0.41, restricted : 0.41, dataset : 0.32, diversity : 0.46, insufficient : 0.44, testing : 0.56, under : 0.52, real : 0.56, world : 0.43, conditions : 0.39, recommendations : 0.54, emphasize : 0.49, need : 0.56, larger : 0.33, more : 0.56, diverse : 0.56, datasets : 0.31, integration : 0.49, additional : 0.29, media : 0.51, spectral : 0.61, data : 0.44, video : 0.43, enhance : 0.51, model : 0.36, robustness : 0.45 |
| 22. menghasilkan | 130 words | 0.72 | systematic : 0.54, literature : 0.46, review : 0.5, on : 0.53, the : 0.44, application : 0.56, of : 0, convolutional : 0.47, neural : 0.58, networks : 0.44, for : 0, rambutan : 0.49, fruit : 0.43, classification : 0.59, advances : 0.53, challenges : 0.59, and : 0.44, future : 0.42, directions : 0.45, nephelium : 0.52, lappaceum : 0.3, l : 0, is : 0.53, a : 0.69, tropical : 0.43, widely : 0.5, cultivated : 0.29, in : 0.53, southeast : 0.51, asia : 0.67, including : 0.56, indonesia : 0.49, manual : 0.63, types : 0.52, ripeness : 0.54, levels : 0.47, remains : 0.62, challenge : 0.56, due : 0.47, to : 0, high : 0.39, subjectivity : 0.44, time : 0.56, intensive : 0.51, nature : 0.42, process : 0.48, particularly : 0.56, large : 0.51, scale : 0.45, agricultural : 0.54, operations : 0.54, network : 0.45, cnn : 0.47, deep : 0.44, learning : 0.61, approach : 0.43, offers : 0.5, significant : 0.49, potential : 0.59, automating : 0.51, improving : 0.47, accuracy : 0.47, tasks : 0.52, by : 0, extracting : 0.58, complex : 0.45, visual : 0.47, features : 0.54, such : 0.44, as : 0.72, color : 0, texture : 0.41, this : 0.56, study : 0, employs : 0.47, slr : 0, evaluate : 0.61, relevant : 0.43, research : 0.53, from : 0.44, 2019 : 0, 2024 : 0, was : 0.61, analyzed : 0.49, identify : 0.54, trends : 0.58, utilizing : 0.43, purpose : 0.32, results : 0.56, demonstrate : 0.49, that : 0.56, achieves : 0.55, superior : 0.47, 90 : 0, compared : 0.43, traditional : 0.56, methods : 0.71, like : 0.44, k : 0, nearest : 0.55, neighbor : 0.51, knn : 0.47, however : 0.32, limitations : 0.49, include : 0.39, restricted : 0.52, dataset : 0.39, diversity : 0.53, insufficient : 0.56, testing : 0.58, under : 0.36, real : 0.67, world : 0.43, conditions : 0.45, recommendations : 0.58, emphasize : 0.67, need : 0.39, larger : 0.47, more : 0.6, diverse : 0.48, datasets : 0.38, integration : 0.63, additional : 0.47, media : 0.7, spectral : 0.54, data : 0.44, video : 0.43, enhance : 0.63, model : 0.66, robustness : 0.29 |
| 23. jenis | 130 words | 0.7 | systematic : 0.37, literature : 0.37, review : 0.58, on : 0.57, the : 0.51, application : 0.43, of : 0, convolutional : 0.52, neural : 0.41, networks : 0.55, for : 0, rambutan : 0, fruit : 0.47, classification : 0.35, advances : 0.55, challenges : 0.53, and : 0.51, future : 0, directions : 0.37, nephelium : 0.53, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.44, widely : 0.41, cultivated : 0.43, in : 0.57, southeast : 0.44, asia : 0.48, including : 0.37, indonesia : 0.53, manual : 0.46, types : 0.47, ripeness : 0.64, levels : 0.58, remains : 0.68, challenge : 0, due : 0.51, to : 0, high : 0, subjectivity : 0.54, time : 0, intensive : 0.66, nature : 0.46, process : 0.45, particularly : 0.43, large : 0, scale : 0, agricultural : 0.43, operations : 0.53, network : 0.4, cnn : 0.51, deep : 0.48, learning : 0.66, approach : 0, offers : 0.58, significant : 0.51, potential : 0.64, automating : 0.43, improving : 0.44, accuracy : 0, tasks : 0.47, by : 0, extracting : 0.53, complex : 0, visual : 0.58, features : 0.55, such : 0, as : 0, color : 0, texture : 0.45, this : 0.63, study : 0, employs : 0.56, slr : 0, evaluate : 0.44, relevant : 0.44, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.49, trends : 0.7, utilizing : 0.44, purpose : 0.45, results : 0.56, demonstrate : 0.62, that : 0, achieves : 0.55, superior : 0.55, 90 : 0, compared : 0, traditional : 0.43, methods : 0.56, like : 0, k : 0, nearest : 0.57, neighbor : 0.55, knn : 0.51, however : 0.45, limitations : 0.43, include : 0.45, restricted : 0.52, dataset : 0.45, diversity : 0.53, insufficient : 0.51, testing : 0.57, under : 0.47, real : 0.48, world : 0, conditions : 0.53, recommendations : 0.51, emphasize : 0.53, need : 0.48, larger : 0, more : 0, diverse : 0.57, datasets : 0.44, integration : 0.51, additional : 0.43, media : 0.6, spectral : 0.44, data : 0, video : 0, enhance : 0.56, model : 0, robustness : 0.37 |
| 24. produk | 130 words | 0.75 | systematic : 0, literature : 0.51, review : 0.44, on : 0.56, the : 0, application : 0.42, of : 0.56, convolutional : 0.5, neural : 0.39, networks : 0.53, for : 0.5, rambutan : 0.53, fruit : 0.58, classification : 0, advances : 0.43, challenges : 0, and : 0.5, future : 0.44, directions : 0.34, nephelium : 0.52, lappaceum : 0.52, l : 0, is : 0, a : 0, tropical : 0.46, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.52, asia : 0, including : 0.35, indonesia : 0.35, manual : 0.44, types : 0.46, ripeness : 0.36, levels : 0, remains : 0.44, challenge : 0, due : 0, to : 0.56, high : 0, subjectivity : 0.42, time : 0, intensive : 0, nature : 0.44, process : 0.75, particularly : 0.63, large : 0.46, scale : 0, agricultural : 0.5, operations : 0.43, network : 0.54, cnn : 0, deep : 0, learning : 0.43, approach : 0.63, offers : 0.44, significant : 0, potential : 0.57, automating : 0.34, improving : 0.61, accuracy : 0.36, tasks : 0.46, by : 0, extracting : 0.42, complex : 0.44, visual : 0.44, features : 0.43, such : 0, as : 0, color : 0.46, texture : 0.44, this : 0, study : 0.41, employs : 0.54, slr : 0.5, evaluate : 0.43, relevant : 0.43, research : 0.43, from : 0.61, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.43, trends : 0.56, utilizing : 0, purpose : 0.68, results : 0.54, demonstrate : 0.34, that : 0, achieves : 0, superior : 0.46, 90 : 0, compared : 0.36, traditional : 0.51, methods : 0.54, like : 0, k : 0, nearest : 0.44, neighbor : 0, knn : 0, however : 0.44, limitations : 0, include : 0.37, restricted : 0.42, dataset : 0, diversity : 0.35, insufficient : 0.42, testing : 0, under : 0.46, real : 0.47, world : 0.59, conditions : 0.51, recommendations : 0.57, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0.44, diverse : 0, datasets : 0.43, integration : 0.42, additional : 0.34, media : 0.46, spectral : 0.43, data : 0, video : 0.41, enhance : 0, model : 0.58, robustness : 0.6 |
| 25. seperti | 130 words | 0.74 | systematic : 0.62, literature : 0.41, review : 0.54, on : 0, the : 0.49, application : 0.46, of : 0, convolutional : 0.48, neural : 0.54, networks : 0.49, for : 0.49, rambutan : 0.42, fruit : 0.45, classification : 0.44, advances : 0.42, challenges : 0.41, and : 0, future : 0.37, directions : 0.57, nephelium : 0.67, lappaceum : 0.5, l : 0, is : 0.55, a : 0, tropical : 0.49, widely : 0.44, cultivated : 0.5, in : 0, southeast : 0.53, asia : 0.46, including : 0.42, indonesia : 0.5, manual : 0, types : 0.4, ripeness : 0.49, levels : 0.54, remains : 0.52, challenge : 0.42, due : 0.49, to : 0, high : 0, subjectivity : 0.67, time : 0.46, intensive : 0.48, nature : 0.37, process : 0.52, particularly : 0.63, large : 0.4, scale : 0.61, agricultural : 0.45, operations : 0.67, network : 0.52, cnn : 0, deep : 0.62, learning : 0.6, approach : 0.51, offers : 0.54, significant : 0.54, potential : 0.55, automating : 0.5, improving : 0.59, accuracy : 0.42, tasks : 0.45, by : 0, extracting : 0.57, complex : 0.52, visual : 0.44, features : 0.61, such : 0.52, as : 0.55, color : 0.45, texture : 0.51, this : 0, study : 0.5, employs : 0.52, slr : 0.69, evaluate : 0.51, relevant : 0.6, research : 0.61, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.42, identify : 0.6, trends : 0.44, utilizing : 0.42, purpose : 0.52, results : 0.51, demonstrate : 0.46, that : 0.46, achieves : 0.49, superior : 0.74, 90 : 0, compared : 0.49, traditional : 0.46, methods : 0.43, like : 0.46, k : 0, nearest : 0.63, neighbor : 0.51, knn : 0, however : 0.62, limitations : 0.32, include : 0, restricted : 0.67, dataset : 0.52, diversity : 0.59, insufficient : 0.48, testing : 0.63, under : 0.56, real : 0.46, world : 0.45, conditions : 0.33, recommendations : 0.62, emphasize : 0.59, need : 0.6, larger : 0.37, more : 0.43, diverse : 0.52, datasets : 0.35, integration : 0.52, additional : 0.33, media : 0.45, spectral : 0.68, data : 0, video : 0.45, enhance : 0.43, model : 0.45, robustness : 0.49 |
| 26. perdagangan | 130 words | 0.7 | systematic : 0.46, literature : 0.52, review : 0.34, on : 0, the : 0.47, application : 0.49, of : 0, convolutional : 0.39, neural : 0.59, networks : 0.48, for : 0.47, rambutan : 0.62, fruit : 0.43, classification : 0.5, advances : 0.54, challenges : 0.42, and : 0.45, future : 0.34, directions : 0.5, nephelium : 0.3, lappaceum : 0.42, l : 0, is : 0, a : 0.7, tropical : 0.44, widely : 0.34, cultivated : 0.4, in : 0, southeast : 0.47, asia : 0.56, including : 0.42, indonesia : 0.44, manual : 0.51, types : 0.53, ripeness : 0.5, levels : 0.42, remains : 0.56, challenge : 0.44, due : 0.45, to : 0, high : 0.45, subjectivity : 0.39, time : 0.45, intensive : 0.47, nature : 0.48, process : 0.51, particularly : 0.53, large : 0.6, scale : 0.36, agricultural : 0.44, operations : 0.65, network : 0.49, cnn : 0, deep : 0.56, learning : 0.65, approach : 0.5, offers : 0.51, significant : 0.45, potential : 0.57, automating : 0.46, improving : 0.52, accuracy : 0.44, tasks : 0.43, by : 0, extracting : 0.58, complex : 0.49, visual : 0.42, features : 0.44, such : 0, as : 0.53, color : 0.43, texture : 0.49, this : 0, study : 0.43, employs : 0.32, slr : 0.47, evaluate : 0.55, relevant : 0.54, research : 0.44, from : 0.45, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.44, identify : 0.44, trends : 0.51, utilizing : 0.3, purpose : 0.54, results : 0.32, demonstrate : 0.41, that : 0.45, achieves : 0.31, superior : 0.55, 90 : 0, compared : 0.5, traditional : 0.5, methods : 0.49, like : 0.45, k : 0, nearest : 0.46, neighbor : 0.48, knn : 0, however : 0.49, limitations : 0.45, include : 0.41, restricted : 0.29, dataset : 0.52, diversity : 0.37, insufficient : 0.39, testing : 0.46, under : 0.46, real : 0.56, world : 0.53, conditions : 0.46, recommendations : 0.51, emphasize : 0.42, need : 0.56, larger : 0.55, more : 0.39, diverse : 0.4, datasets : 0.5, integration : 0.54, additional : 0.42, media : 0.62, spectral : 0.62, data : 0.67, video : 0.36, enhance : 0.57, model : 0.36, robustness : 0.46 |
| 27. online | 130 words | 0.82 | systematic : 0.42, literature : 0.6, review : 0.56, on : 0.82, the : 0, application : 0.51, of : 0.6, convolutional : 0.66, neural : 0.44, networks : 0.43, for : 0.5, rambutan : 0.43, fruit : 0.46, classification : 0.49, advances : 0.53, challenges : 0.49, and : 0.5, future : 0.44, directions : 0.49, nephelium : 0.58, lappaceum : 0.52, l : 0.72, is : 0, a : 0, tropical : 0.53, widely : 0.5, cultivated : 0.6, in : 0.56, southeast : 0.52, asia : 0.47, including : 0.58, indonesia : 0.73, manual : 0.44, types : 0.46, ripeness : 0.46, levels : 0.56, remains : 0.54, challenge : 0.5, due : 0, to : 0.56, high : 0.47, subjectivity : 0.33, time : 0.61, intensive : 0.54, nature : 0.56, process : 0.54, particularly : 0.33, large : 0.58, scale : 0.58, agricultural : 0.33, operations : 0.61, network : 0.44, cnn : 0.67, deep : 0, learning : 0.64, approach : 0, offers : 0.6, significant : 0.34, potential : 0.58, automating : 0.6, improving : 0.52, accuracy : 0, tasks : 0, by : 0, extracting : 0.51, complex : 0.64, visual : 0.44, features : 0.43, such : 0, as : 0, color : 0.58, texture : 0.44, this : 0.47, study : 0, employs : 0.44, slr : 0.5, evaluate : 0.53, relevant : 0.51, research : 0.43, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.63, identify : 0.46, trends : 0.44, utilizing : 0.5, purpose : 0.44, results : 0.44, demonstrate : 0.42, that : 0, achieves : 0.53, superior : 0.36, 90 : 0, compared : 0.53, traditional : 0.51, methods : 0, like : 0.75, k : 0, nearest : 0.54, neighbor : 0.53, knn : 0.67, however : 0.54, limitations : 0.51, include : 0.64, restricted : 0.34, dataset : 0.44, diversity : 0.52, insufficient : 0.47, testing : 0.54, under : 0.58, real : 0.47, world : 0.58, conditions : 0.69, recommendations : 0.4, emphasize : 0.52, need : 0.47, larger : 0.56, more : 0.61, diverse : 0.54, datasets : 0.43, integration : 0.48, additional : 0.51, media : 0.46, spectral : 0.43, data : 0, video : 0.58, enhance : 0.64, model : 0.59, robustness : 0.6 |
| 28. e | 130 words | 0.75 | systematic : 0.7, literature : 0.7, review : 0.72, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0.72, networks : 0.71, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0.7, nephelium : 0.7, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0.71, levels : 0.72, remains : 0.71, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0.69, time : 0, intensive : 0.7, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0.7, network : 0.71, cnn : 0, deep : 0.75, learning : 0.71, approach : 0, offers : 0, significant : 0, potential : 0.7, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0.73, complex : 0, visual : 0, features : 0.71, such : 0, as : 0, color : 0, texture : 0.71, this : 0, study : 0, employs : 0.74, slr : 0, evaluate : 0.74, relevant : 0.71, research : 0.71, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.71, trends : 0.72, utilizing : 0, purpose : 0, results : 0.71, demonstrate : 0.7, that : 0, achieves : 0, superior : 0.71, 90 : 0, compared : 0, traditional : 0, methods : 0.71, like : 0, k : 0, nearest : 0.71, neighbor : 0.71, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0.7, dataset : 0, diversity : 0.7, insufficient : 0, testing : 0.71, under : 0, real : 0.75, world : 0, conditions : 0, recommendations : 0.69, emphasize : 0.73, need : 0.75, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0.7, additional : 0, media : 0.73, spectral : 0.71, data : 0, video : 0, enhance : 0.74, model : 0, robustness : 0 |
| 29. commerce | 130 words | 0.78 | systematic : 0.45, literature : 0.56, review : 0.53, on : 0.54, the : 0.49, application : 0.41, of : 0.54, convolutional : 0.57, neural : 0.53, networks : 0.47, for : 0.64, rambutan : 0.42, fruit : 0, classification : 0.52, advances : 0.33, challenges : 0.6, and : 0, future : 0.36, directions : 0.45, nephelium : 0.49, lappaceum : 0.32, l : 0, is : 0, a : 0, tropical : 0.5, widely : 0.43, cultivated : 0.54, in : 0, southeast : 0.49, asia : 0, including : 0.41, indonesia : 0.49, manual : 0.43, types : 0.44, ripeness : 0.5, levels : 0.43, remains : 0.35, challenge : 0.61, due : 0.49, to : 0.54, high : 0, subjectivity : 0.31, time : 0.58, intensive : 0.49, nature : 0.36, process : 0.49, particularly : 0.31, large : 0.38, scale : 0.55, agricultural : 0.31, operations : 0.56, network : 0.49, cnn : 0.54, deep : 0.46, learning : 0.5, approach : 0.47, offers : 0.63, significant : 0.41, potential : 0.49, automating : 0.48, improving : 0.4, accuracy : 0.58, tasks : 0, by : 0, extracting : 0.56, complex : 0.78, visual : 0, features : 0.58, such : 0.46, as : 0, color : 0.73, texture : 0.6, this : 0, study : 0, employs : 0.35, slr : 0.49, evaluate : 0.42, relevant : 0.42, research : 0.58, from : 0.58, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.42, trends : 0.43, utilizing : 0, purpose : 0.43, results : 0.42, demonstrate : 0.63, that : 0, achieves : 0.58, superior : 0.5, 90 : 0, compared : 0.78, traditional : 0.41, methods : 0.43, like : 0.46, k : 0, nearest : 0.6, neighbor : 0.5, knn : 0, however : 0.61, limitations : 0.41, include : 0.51, restricted : 0.63, dataset : 0.42, diversity : 0.49, insufficient : 0.31, testing : 0.42, under : 0.55, real : 0.46, world : 0.55, conditions : 0.59, recommendations : 0.64, emphasize : 0.49, need : 0.46, larger : 0.36, more : 0.67, diverse : 0.6, datasets : 0.42, integration : 0.48, additional : 0, media : 0.55, spectral : 0.47, data : 0, video : 0.38, enhance : 0.35, model : 0.55, robustness : 0.48 |
| 30. layanan | 130 words | 0.74 | systematic : 0.5, literature : 0.55, review : 0, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0.44, neural : 0.44, networks : 0, for : 0, rambutan : 0.6, fruit : 0, classification : 0.55, advances : 0.6, challenges : 0.47, and : 0.49, future : 0, directions : 0.41, nephelium : 0, lappaceum : 0.67, l : 0.74, is : 0, a : 0.71, tropical : 0.42, widely : 0, cultivated : 0.5, in : 0, southeast : 0.42, asia : 0.6, including : 0.48, indonesia : 0.48, manual : 0.53, types : 0.45, ripeness : 0.42, levels : 0.49, remains : 0.52, challenge : 0.48, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0.5, nature : 0.44, process : 0, particularly : 0.48, large : 0.65, scale : 0.45, agricultural : 0.48, operations : 0.5, network : 0, cnn : 0.49, deep : 0, learning : 0.72, approach : 0.51, offers : 0, significant : 0.57, potential : 0.5, automating : 0.58, improving : 0.42, accuracy : 0.51, tasks : 0.45, by : 0.55, extracting : 0.5, complex : 0, visual : 0.44, features : 0.42, such : 0, as : 0.55, color : 0.45, texture : 0, this : 0, study : 0.45, employs : 0, slr : 0.49, evaluate : 0.49, relevant : 0.6, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.61, identify : 0.42, trends : 0.44, utilizing : 0.5, purpose : 0, results : 0, demonstrate : 0.49, that : 0.46, achieves : 0.42, superior : 0, 90 : 0, compared : 0.42, traditional : 0.57, methods : 0, like : 0.52, k : 0, nearest : 0.43, neighbor : 0, knn : 0.49, however : 0, limitations : 0.61, include : 0, restricted : 0, dataset : 0.52, diversity : 0, insufficient : 0.48, testing : 0.43, under : 0, real : 0.46, world : 0, conditions : 0.5, recommendations : 0.31, emphasize : 0.42, need : 0, larger : 0.63, more : 0, diverse : 0, datasets : 0.51, integration : 0.46, additional : 0.58, media : 0.45, spectral : 0.42, data : 0.6, video : 0, enhance : 0.52, model : 0, robustness : 0.41 |
| 31. lainnya | 130 words | 0.76 | systematic : 0.5, literature : 0.52, review : 0.44, on : 0.55, the : 0, application : 0.56, of : 0, convolutional : 0.44, neural : 0.44, networks : 0.42, for : 0, rambutan : 0.49, fruit : 0.45, classification : 0.62, advances : 0.49, challenges : 0.47, and : 0.65, future : 0, directions : 0.5, nephelium : 0.42, lappaceum : 0.67, l : 0.74, is : 0.55, a : 0.71, tropical : 0.51, widely : 0.54, cultivated : 0.58, in : 0.76, southeast : 0.42, asia : 0.6, including : 0.55, indonesia : 0.67, manual : 0.64, types : 0, ripeness : 0.51, levels : 0.49, remains : 0.62, challenge : 0.48, due : 0, to : 0, high : 0.46, subjectivity : 0.41, time : 0.46, intensive : 0.59, nature : 0.44, process : 0, particularly : 0.56, large : 0.65, scale : 0.45, agricultural : 0.56, operations : 0.58, network : 0, cnn : 0.65, deep : 0, learning : 0.74, approach : 0.51, offers : 0, significant : 0.57, potential : 0.5, automating : 0.47, improving : 0.5, accuracy : 0.49, tasks : 0.45, by : 0, extracting : 0.5, complex : 0, visual : 0.54, features : 0.42, such : 0, as : 0.55, color : 0.45, texture : 0, this : 0.46, study : 0.45, employs : 0.43, slr : 0.49, evaluate : 0.49, relevant : 0.49, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.57, identify : 0.6, trends : 0.44, utilizing : 0.48, purpose : 0, results : 0, demonstrate : 0.49, that : 0.46, achieves : 0.51, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.65, methods : 0, like : 0.64, k : 0, nearest : 0.43, neighbor : 0.35, knn : 0.65, however : 0, limitations : 0.51, include : 0.52, restricted : 0.41, dataset : 0.43, diversity : 0.5, insufficient : 0.48, testing : 0.52, under : 0.45, real : 0.46, world : 0, conditions : 0.47, recommendations : 0.47, emphasize : 0.42, need : 0, larger : 0.63, more : 0, diverse : 0.43, datasets : 0.51, integration : 0.57, additional : 0.66, media : 0.56, spectral : 0.42, data : 0.46, video : 0.45, enhance : 0.51, model : 0, robustness : 0.41 |
| 32. perlu | 130 words | 0.7 | systematic : 0.43, literature : 0.61, review : 0.41, on : 0, the : 0.51, application : 0.53, of : 0, convolutional : 0.52, neural : 0.7, networks : 0.55, for : 0.51, rambutan : 0.55, fruit : 0.47, classification : 0.42, advances : 0, challenges : 0.37, and : 0, future : 0.41, directions : 0.37, nephelium : 0.66, lappaceum : 0.53, l : 0, is : 0, a : 0, tropical : 0.38, widely : 0.58, cultivated : 0.37, in : 0, southeast : 0.44, asia : 0, including : 0.54, indonesia : 0, manual : 0.41, types : 0, ripeness : 0.49, levels : 0.58, remains : 0.4, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.36, time : 0, intensive : 0.44, nature : 0.41, process : 0.61, particularly : 0.67, large : 0.47, scale : 0.47, agricultural : 0.51, operations : 0.63, network : 0.45, cnn : 0, deep : 0.48, learning : 0.49, approach : 0.55, offers : 0.58, significant : 0, potential : 0.59, automating : 0.43, improving : 0.54, accuracy : 0.38, tasks : 0, by : 0, extracting : 0.53, complex : 0.45, visual : 0.41, features : 0.55, such : 0, as : 0, color : 0.47, texture : 0.56, this : 0, study : 0, employs : 0.57, slr : 0.51, evaluate : 0.66, relevant : 0.55, research : 0.38, from : 0.48, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.44, trends : 0.41, utilizing : 0.44, purpose : 0.61, results : 0.62, demonstrate : 0.43, that : 0, achieves : 0.44, superior : 0.6, 90 : 0, compared : 0.55, traditional : 0.43, methods : 0.45, like : 0, k : 0, nearest : 0.56, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.43, include : 0.56, restricted : 0.37, dataset : 0, diversity : 0.54, insufficient : 0.43, testing : 0.45, under : 0, real : 0.63, world : 0.6, conditions : 0, recommendations : 0.34, emphasize : 0.37, need : 0.48, larger : 0.46, more : 0.48, diverse : 0.56, datasets : 0, integration : 0.53, additional : 0, media : 0.47, spectral : 0.66, data : 0, video : 0, enhance : 0.45, model : 0.47, robustness : 0.53 |
| 33. memahami | 130 words | 0.73 | systematic : 0.63, literature : 0.48, review : 0.43, on : 0, the : 0.47, application : 0.44, of : 0, convolutional : 0.4, neural : 0.53, networks : 0.42, for : 0, rambutan : 0.47, fruit : 0, classification : 0.42, advances : 0.5, challenges : 0.45, and : 0.49, future : 0, directions : 0.48, nephelium : 0.56, lappaceum : 0.57, l : 0, is : 0, a : 0.71, tropical : 0.33, widely : 0.43, cultivated : 0.32, in : 0, southeast : 0.32, asia : 0.58, including : 0.41, indonesia : 0.32, manual : 0.66, types : 0.44, ripeness : 0.42, levels : 0.43, remains : 0.61, challenge : 0.32, due : 0.49, to : 0, high : 0.46, subjectivity : 0.47, time : 0.58, intensive : 0.49, nature : 0.43, process : 0.42, particularly : 0.43, large : 0.38, scale : 0.38, agricultural : 0.43, operations : 0.56, network : 0.42, cnn : 0, deep : 0.46, learning : 0.58, approach : 0.47, offers : 0.43, significant : 0.31, potential : 0.46, automating : 0.55, improving : 0.49, accuracy : 0.5, tasks : 0.44, by : 0, extracting : 0.56, complex : 0.42, visual : 0.43, features : 0.5, such : 0.46, as : 0.54, color : 0, texture : 0.42, this : 0.46, study : 0, employs : 0.35, slr : 0, evaluate : 0.58, relevant : 0.5, research : 0.58, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.5, trends : 0.43, utilizing : 0.41, purpose : 0, results : 0.42, demonstrate : 0.44, that : 0.42, achieves : 0.42, superior : 0.5, 90 : 0, compared : 0.5, traditional : 0.44, methods : 0.68, like : 0.46, k : 0, nearest : 0.51, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.44, include : 0, restricted : 0.48, dataset : 0.51, diversity : 0.49, insufficient : 0.4, testing : 0.51, under : 0.44, real : 0.58, world : 0, conditions : 0.41, recommendations : 0.59, emphasize : 0.59, need : 0.46, larger : 0.36, more : 0.63, diverse : 0.42, datasets : 0.5, integration : 0.55, additional : 0.45, media : 0.73, spectral : 0.5, data : 0.58, video : 0.44, enhance : 0.49, model : 0.6, robustness : 0 |
| 34. dinamika | 130 words | 0.75 | systematic : 0.45, literature : 0.48, review : 0.43, on : 0.54, the : 0, application : 0.45, of : 0, convolutional : 0.54, neural : 0.53, networks : 0.5, for : 0, rambutan : 0.58, fruit : 0.44, classification : 0.51, advances : 0.42, challenges : 0.32, and : 0.68, future : 0, directions : 0.65, nephelium : 0.49, lappaceum : 0.49, l : 0, is : 0.54, a : 0.71, tropical : 0.5, widely : 0.36, cultivated : 0.48, in : 0.75, southeast : 0.41, asia : 0.42, including : 0.57, indonesia : 0.63, manual : 0.51, types : 0, ripeness : 0.5, levels : 0, remains : 0.52, challenge : 0.41, due : 0.54, to : 0, high : 0.46, subjectivity : 0.4, time : 0.58, intensive : 0.57, nature : 0.53, process : 0, particularly : 0.43, large : 0.44, scale : 0.44, agricultural : 0.43, operations : 0.48, network : 0.51, cnn : 0.49, deep : 0.51, learning : 0.47, approach : 0.5, offers : 0, significant : 0.62, potential : 0.57, automating : 0.55, improving : 0.57, accuracy : 0.5, tasks : 0.55, by : 0, extracting : 0.48, complex : 0.42, visual : 0.53, features : 0.42, such : 0, as : 0.54, color : 0, texture : 0, this : 0.46, study : 0.44, employs : 0.42, slr : 0, evaluate : 0.5, relevant : 0.42, research : 0.42, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.33, identify : 0.58, trends : 0.43, utilizing : 0.49, purpose : 0, results : 0, demonstrate : 0.58, that : 0.46, achieves : 0.33, superior : 0.42, 90 : 0, compared : 0.33, traditional : 0.59, methods : 0, like : 0.46, k : 0, nearest : 0.51, neighbor : 0.33, knn : 0.49, however : 0, limitations : 0.5, include : 0.51, restricted : 0.41, dataset : 0.56, diversity : 0.66, insufficient : 0.54, testing : 0.51, under : 0.38, real : 0.46, world : 0, conditions : 0.51, recommendations : 0.46, emphasize : 0.46, need : 0.42, larger : 0.43, more : 0, diverse : 0.61, datasets : 0.55, integration : 0.62, additional : 0.61, media : 0.66, spectral : 0.42, data : 0.63, video : 0.38, enhance : 0.51, model : 0.44, robustness : 0.41 |
| 35. memberikan | 130 words | 0.79 | systematic : 0.52, literature : 0.53, review : 0.49, on : 0, the : 0.48, application : 0.52, of : 0, convolutional : 0.4, neural : 0.6, networks : 0.56, for : 0.48, rambutan : 0.63, fruit : 0.53, classification : 0.39, advances : 0.41, challenges : 0.42, and : 0, future : 0.34, directions : 0.52, nephelium : 0.54, lappaceum : 0.31, l : 0, is : 0, a : 0, tropical : 0.56, widely : 0.42, cultivated : 0.37, in : 0, southeast : 0.47, asia : 0.45, including : 0.47, indonesia : 0.54, manual : 0.56, types : 0.43, ripeness : 0.48, levels : 0.51, remains : 0.57, challenge : 0.43, due : 0.48, to : 0, high : 0, subjectivity : 0.41, time : 0.57, intensive : 0.43, nature : 0.34, process : 0.33, particularly : 0.52, large : 0.37, scale : 0.43, agricultural : 0.52, operations : 0.6, network : 0.58, cnn : 0, deep : 0.57, learning : 0.63, approach : 0.48, offers : 0.51, significant : 0.52, potential : 0.54, automating : 0.52, improving : 0.61, accuracy : 0.48, tasks : 0.43, by : 0.53, extracting : 0.6, complex : 0.5, visual : 0.42, features : 0.45, such : 0, as : 0, color : 0.43, texture : 0.47, this : 0.45, study : 0, employs : 0.33, slr : 0.48, evaluate : 0.45, relevant : 0.63, research : 0.55, from : 0.4, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.48, trends : 0.34, utilizing : 0.47, purpose : 0.33, results : 0.41, demonstrate : 0.5, that : 0, achieves : 0.45, superior : 0.56, 90 : 0, compared : 0.55, traditional : 0.5, methods : 0.6, like : 0.45, k : 0, nearest : 0.47, neighbor : 0.51, knn : 0, however : 0.58, limitations : 0.59, include : 0.41, restricted : 0.48, dataset : 0.41, diversity : 0.54, insufficient : 0.41, testing : 0.58, under : 0.53, real : 0.45, world : 0.43, conditions : 0.47, recommendations : 0.67, emphasize : 0.55, need : 0.57, larger : 0.34, more : 0.62, diverse : 0.47, datasets : 0.41, integration : 0.58, additional : 0.42, media : 0.79, spectral : 0.56, data : 0, video : 0.43, enhance : 0.5, model : 0.58, robustness : 0.42 |
| 36. tantangan | 130 words | 0.73 | systematic : 0.43, literature : 0.54, review : 0, on : 0.54, the : 0.53, application : 0.52, of : 0, convolutional : 0.58, neural : 0.35, networks : 0.32, for : 0, rambutan : 0.65, fruit : 0.44, classification : 0.52, advances : 0.46, challenges : 0.54, and : 0.63, future : 0.43, directions : 0.47, nephelium : 0.41, lappaceum : 0.48, l : 0, is : 0, a : 0.7, tropical : 0.54, widely : 0, cultivated : 0.43, in : 0.54, southeast : 0.48, asia : 0.57, including : 0.56, indonesia : 0.56, manual : 0.61, types : 0.49, ripeness : 0.41, levels : 0, remains : 0.5, challenge : 0.56, due : 0, to : 0.58, high : 0, subjectivity : 0.4, time : 0.51, intensive : 0.44, nature : 0.5, process : 0, particularly : 0.42, large : 0.54, scale : 0.44, agricultural : 0.51, operations : 0.54, network : 0.34, cnn : 0.63, deep : 0, learning : 0.65, approach : 0.49, offers : 0, significant : 0.44, potential : 0.63, automating : 0.64, improving : 0.48, accuracy : 0.49, tasks : 0.63, by : 0, extracting : 0.69, complex : 0, visual : 0.43, features : 0.32, such : 0, as : 0.54, color : 0, texture : 0.55, this : 0.51, study : 0.44, employs : 0, slr : 0, evaluate : 0.46, relevant : 0.49, research : 0.41, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.57, identify : 0.49, trends : 0.57, utilizing : 0.56, purpose : 0, results : 0.42, demonstrate : 0.54, that : 0.72, achieves : 0.41, superior : 0, 90 : 0, compared : 0.41, traditional : 0.7, methods : 0.42, like : 0, k : 0, nearest : 0.48, neighbor : 0.49, knn : 0.63, however : 0, limitations : 0.6, include : 0.42, restricted : 0.47, dataset : 0.51, diversity : 0, insufficient : 0.46, testing : 0.63, under : 0.44, real : 0.45, world : 0, conditions : 0.54, recommendations : 0.51, emphasize : 0.41, need : 0.45, larger : 0.52, more : 0, diverse : 0, datasets : 0.48, integration : 0.63, additional : 0.45, media : 0.44, spectral : 0.49, data : 0.58, video : 0, enhance : 0.48, model : 0, robustness : 0.31 |
| 37. modern | 130 words | 0.89 | systematic : 0.42, literature : 0.51, review : 0.44, on : 0.56, the : 0.5, application : 0, of : 0.56, convolutional : 0.5, neural : 0.56, networks : 0.51, for : 0.67, rambutan : 0.53, fruit : 0, classification : 0, advances : 0.51, challenges : 0.51, and : 0.5, future : 0.39, directions : 0.61, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.36, widely : 0.56, cultivated : 0, in : 0, southeast : 0.52, asia : 0, including : 0.52, indonesia : 0.54, manual : 0.5, types : 0.46, ripeness : 0.53, levels : 0.44, remains : 0.53, challenge : 0.52, due : 0.67, to : 0.56, high : 0, subjectivity : 0.42, time : 0.61, intensive : 0.52, nature : 0.39, process : 0.54, particularly : 0.42, large : 0.41, scale : 0.46, agricultural : 0.42, operations : 0.69, network : 0.54, cnn : 0, deep : 0.61, learning : 0.63, approach : 0.36, offers : 0.67, significant : 0.42, potential : 0.61, automating : 0.49, improving : 0.62, accuracy : 0.43, tasks : 0, by : 0, extracting : 0.6, complex : 0.53, visual : 0, features : 0.53, such : 0, as : 0, color : 0.58, texture : 0.54, this : 0, study : 0.46, employs : 0.44, slr : 0.5, evaluate : 0.43, relevant : 0.53, research : 0.53, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0.63, trends : 0.5, utilizing : 0.43, purpose : 0.44, results : 0.44, demonstrate : 0.68, that : 0, achieves : 0.43, superior : 0.53, 90 : 0, compared : 0.56, traditional : 0.48, methods : 0.59, like : 0.47, k : 0, nearest : 0.54, neighbor : 0.53, knn : 0, however : 0.64, limitations : 0.51, include : 0, restricted : 0.34, dataset : 0.54, diversity : 0.61, insufficient : 0.42, testing : 0.54, under : 0.7, real : 0.47, world : 0.59, conditions : 0.49, recommendations : 0.63, emphasize : 0.35, need : 0.44, larger : 0.39, more : 0.84, diverse : 0.64, datasets : 0.53, integration : 0.42, additional : 0.51, media : 0.63, spectral : 0.53, data : 0.47, video : 0.58, enhance : 0.44, model : 0.89, robustness : 0.52 |
| 38. membuka | 130 words | 0.74 | systematic : 0.58, literature : 0.47, review : 0.44, on : 0, the : 0.49, application : 0.41, of : 0, convolutional : 0.48, neural : 0.64, networks : 0.51, for : 0, rambutan : 0.69, fruit : 0.45, classification : 0.4, advances : 0.42, challenges : 0.33, and : 0, future : 0.44, directions : 0.41, nephelium : 0.5, lappaceum : 0.34, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0.44, cultivated : 0.5, in : 0, southeast : 0.5, asia : 0, including : 0.42, indonesia : 0.42, manual : 0.68, types : 0.45, ripeness : 0.42, levels : 0.44, remains : 0.36, challenge : 0, due : 0.49, to : 0, high : 0, subjectivity : 0.45, time : 0.6, intensive : 0.42, nature : 0.44, process : 0, particularly : 0.32, large : 0, scale : 0, agricultural : 0.48, operations : 0.5, network : 0.52, cnn : 0, deep : 0.46, learning : 0.42, approach : 0.42, offers : 0.44, significant : 0.41, potential : 0.5, automating : 0.47, improving : 0.42, accuracy : 0.51, tasks : 0.45, by : 0, extracting : 0.5, complex : 0.43, visual : 0.54, features : 0.51, such : 0, as : 0, color : 0, texture : 0.52, this : 0, study : 0.45, employs : 0.36, slr : 0, evaluate : 0.6, relevant : 0.51, research : 0.51, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.42, trends : 0.44, utilizing : 0, purpose : 0, results : 0.52, demonstrate : 0.46, that : 0, achieves : 0.42, superior : 0.35, 90 : 0, compared : 0.51, traditional : 0.41, methods : 0.62, like : 0.46, k : 0, nearest : 0.43, neighbor : 0.51, knn : 0, however : 0.43, limitations : 0.49, include : 0.43, restricted : 0.41, dataset : 0, diversity : 0.42, insufficient : 0.41, testing : 0.43, under : 0.45, real : 0.46, world : 0, conditions : 0, recommendations : 0.53, emphasize : 0.48, need : 0.46, larger : 0, more : 0.64, diverse : 0.43, datasets : 0.42, integration : 0.49, additional : 0.41, media : 0.74, spectral : 0.51, data : 0, video : 0.45, enhance : 0.43, model : 0.61, robustness : 0.5 |
| 39. banyak | 130 words | 0.8 | systematic : 0.51, literature : 0.42, review : 0, on : 0.56, the : 0, application : 0.51, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.53, for : 0, rambutan : 0.51, fruit : 0, classification : 0.49, advances : 0.51, challenges : 0.51, and : 0.67, future : 0, directions : 0, nephelium : 0.43, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.43, widely : 0.44, cultivated : 0.42, in : 0.56, southeast : 0.43, asia : 0.61, including : 0.43, indonesia : 0.43, manual : 0.67, types : 0.46, ripeness : 0.43, levels : 0, remains : 0.44, challenge : 0.43, due : 0, to : 0, high : 0, subjectivity : 0.42, time : 0, intensive : 0.43, nature : 0.39, process : 0, particularly : 0.5, large : 0.46, scale : 0.46, agricultural : 0.42, operations : 0.42, network : 0.54, cnn : 0.5, deep : 0, learning : 0.53, approach : 0.53, offers : 0, significant : 0.51, potential : 0.52, automating : 0.51, improving : 0, accuracy : 0.53, tasks : 0.58, by : 0.8, extracting : 0.42, complex : 0, visual : 0.44, features : 0.43, such : 0, as : 0.56, color : 0, texture : 0, this : 0, study : 0.46, employs : 0.44, slr : 0, evaluate : 0.53, relevant : 0.43, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.64, identify : 0.43, trends : 0.44, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.51, that : 0.47, achieves : 0.43, superior : 0, 90 : 0, compared : 0.43, traditional : 0.42, methods : 0, like : 0, k : 0, nearest : 0.37, neighbor : 0.43, knn : 0.5, however : 0, limitations : 0.42, include : 0.44, restricted : 0, dataset : 0.54, diversity : 0, insufficient : 0.42, testing : 0, under : 0.46, real : 0.47, world : 0, conditions : 0.42, recommendations : 0.49, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0, diverse : 0, datasets : 0.53, integration : 0.51, additional : 0.51, media : 0.46, spectral : 0.43, data : 0.61, video : 0, enhance : 0.37, model : 0, robustness : 0.51 |
| 40. peluang | 130 words | 0.71 | systematic : 0.5, literature : 0.49, review : 0.44, on : 0, the : 0.49, application : 0.4, of : 0, convolutional : 0.39, neural : 0.64, networks : 0.42, for : 0, rambutan : 0.49, fruit : 0.45, classification : 0.48, advances : 0.51, challenges : 0.67, and : 0, future : 0.44, directions : 0.5, nephelium : 0.48, lappaceum : 0.42, l : 0.71, is : 0, a : 0, tropical : 0.51, widely : 0.54, cultivated : 0.47, in : 0, southeast : 0.5, asia : 0.46, including : 0.67, indonesia : 0.42, manual : 0.54, types : 0.56, ripeness : 0.6, levels : 0.37, remains : 0.62, challenge : 0.59, due : 0.48, to : 0, high : 0, subjectivity : 0.32, time : 0.46, intensive : 0.5, nature : 0.44, process : 0.49, particularly : 0.6, large : 0.45, scale : 0.4, agricultural : 0.47, operations : 0.66, network : 0.43, cnn : 0, deep : 0.46, learning : 0.71, approach : 0.51, offers : 0.44, significant : 0.46, potential : 0.63, automating : 0.57, improving : 0.59, accuracy : 0.51, tasks : 0, by : 0, extracting : 0.66, complex : 0.43, visual : 0.54, features : 0.49, such : 0.46, as : 0, color : 0.45, texture : 0.52, this : 0, study : 0.45, employs : 0.51, slr : 0.49, evaluate : 0.57, relevant : 0.69, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.35, identify : 0.51, trends : 0.54, utilizing : 0.59, purpose : 0.57, results : 0.51, demonstrate : 0.46, that : 0.46, achieves : 0.42, superior : 0.43, 90 : 0, compared : 0.51, traditional : 0.49, methods : 0.43, like : 0.43, k : 0, nearest : 0.52, neighbor : 0.51, knn : 0, however : 0.43, limitations : 0.57, include : 0.52, restricted : 0.41, dataset : 0.43, diversity : 0.42, insufficient : 0.32, testing : 0.62, under : 0.45, real : 0.62, world : 0.45, conditions : 0.41, recommendations : 0.43, emphasize : 0.48, need : 0.46, larger : 0.44, more : 0.46, diverse : 0.43, datasets : 0.42, integration : 0.48, additional : 0.5, media : 0.56, spectral : 0.6, data : 0.46, video : 0.45, enhance : 0.62, model : 0.56, robustness : 0.5 |
| 41. baru | 130 words | 0.75 | systematic : 0, literature : 0.57, review : 0.47, on : 0, the : 0, application : 0.45, of : 0, convolutional : 0.44, neural : 0.44, networks : 0.46, for : 0.53, rambutan : 0.75, fruit : 0.63, classification : 0.44, advances : 0.46, challenges : 0.45, and : 0.53, future : 0.44, directions : 0.45, nephelium : 0, lappaceum : 0.45, l : 0, is : 0, a : 0.75, tropical : 0.46, widely : 0, cultivated : 0.45, in : 0, southeast : 0.45, asia : 0.5, including : 0.45, indonesia : 0, manual : 0.61, types : 0, ripeness : 0.46, levels : 0, remains : 0.43, challenge : 0.45, due : 0, to : 0, high : 0, subjectivity : 0.39, time : 0, intensive : 0, nature : 0.64, process : 0.46, particularly : 0.67, large : 0.63, scale : 0.48, agricultural : 0.67, operations : 0.4, network : 0, cnn : 0, deep : 0, learning : 0.58, approach : 0.58, offers : 0.47, significant : 0, potential : 0, automating : 0.57, improving : 0.45, accuracy : 0.6, tasks : 0.48, by : 0.63, extracting : 0.4, complex : 0, visual : 0.47, features : 0.6, such : 0, as : 0.58, color : 0, texture : 0.46, this : 0, study : 0.48, employs : 0, slr : 0.53, evaluate : 0.58, relevant : 0.46, research : 0.42, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.46, identify : 0, trends : 0.47, utilizing : 0.45, purpose : 0.43, results : 0.6, demonstrate : 0, that : 0.5, achieves : 0.46, superior : 0.42, 90 : 0, compared : 0.58, traditional : 0.39, methods : 0, like : 0, k : 0, nearest : 0.6, neighbor : 0, knn : 0, however : 0, limitations : 0.45, include : 0.46, restricted : 0.45, dataset : 0.46, diversity : 0.45, insufficient : 0.44, testing : 0, under : 0, real : 0.5, world : 0.48, conditions : 0, recommendations : 0.44, emphasize : 0.45, need : 0, larger : 0.61, more : 0.5, diverse : 0.46, datasets : 0.46, integration : 0.45, additional : 0.45, media : 0, spectral : 0.46, data : 0.5, video : 0, enhance : 0.46, model : 0, robustness : 0.57 |
| 42. meningkatkan | 130 words | 0.77 | systematic : 0.54, literature : 0.49, review : 0.5, on : 0.53, the : 0.47, application : 0.57, of : 0, convolutional : 0.47, neural : 0.47, networks : 0.43, for : 0, rambutan : 0.53, fruit : 0.52, classification : 0.46, advances : 0.43, challenges : 0.41, and : 0.47, future : 0.42, directions : 0.41, nephelium : 0.42, lappaceum : 0.3, l : 0, is : 0.53, a : 0, tropical : 0.47, widely : 0.33, cultivated : 0.35, in : 0.56, southeast : 0.36, asia : 0.56, including : 0.51, indonesia : 0.56, manual : 0.63, types : 0.43, ripeness : 0.38, levels : 0.42, remains : 0.58, challenge : 0.43, due : 0.47, to : 0, high : 0.56, subjectivity : 0.39, time : 0.5, intensive : 0.51, nature : 0.33, process : 0.41, particularly : 0.33, large : 0.36, scale : 0.36, agricultural : 0.39, operations : 0.51, network : 0.45, cnn : 0.61, deep : 0.44, learning : 0.61, approach : 0.4, offers : 0.42, significant : 0.57, potential : 0.56, automating : 0.56, improving : 0.47, accuracy : 0.4, tasks : 0.43, by : 0, extracting : 0.56, complex : 0.48, visual : 0.5, features : 0.54, such : 0, as : 0, color : 0, texture : 0.48, this : 0.44, study : 0, employs : 0.32, slr : 0, evaluate : 0.53, relevant : 0.53, research : 0.47, from : 0.44, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.38, identify : 0.49, trends : 0.5, utilizing : 0.42, purpose : 0.41, results : 0.48, demonstrate : 0.49, that : 0.56, achieves : 0.31, superior : 0.47, 90 : 0, compared : 0.43, traditional : 0.49, methods : 0.59, like : 0.5, k : 0, nearest : 0.55, neighbor : 0.53, knn : 0.61, however : 0.41, limitations : 0.49, include : 0.45, restricted : 0.41, dataset : 0.45, diversity : 0.42, insufficient : 0.39, testing : 0.61, under : 0.36, real : 0.56, world : 0, conditions : 0.49, recommendations : 0.58, emphasize : 0.43, need : 0.39, larger : 0.33, more : 0.6, diverse : 0.32, datasets : 0.43, integration : 0.69, additional : 0.41, media : 0.77, spectral : 0.43, data : 0.44, video : 0.36, enhance : 0.55, model : 0.57, robustness : 0.29 |
| 43. efisiensi | 130 words | 0.74 | systematic : 0.43, literature : 0.43, review : 0.61, on : 0, the : 0.48, application : 0.54, of : 0.54, convolutional : 0.29, neural : 0.43, networks : 0.49, for : 0.48, rambutan : 0.41, fruit : 0.54, classification : 0.56, advances : 0.46, challenges : 0.54, and : 0, future : 0.52, directions : 0.62, nephelium : 0.44, lappaceum : 0.41, l : 0, is : 0.74, a : 0, tropical : 0.41, widely : 0.35, cultivated : 0.47, in : 0.54, southeast : 0.56, asia : 0.41, including : 0.56, indonesia : 0.57, manual : 0, types : 0.54, ripeness : 0.69, levels : 0.5, remains : 0.59, challenge : 0.48, due : 0.48, to : 0, high : 0.45, subjectivity : 0.47, time : 0.41, intensive : 0.61, nature : 0.43, process : 0.48, particularly : 0.4, large : 0.44, scale : 0.54, agricultural : 0.4, operations : 0.61, network : 0.42, cnn : 0, deep : 0.57, learning : 0.46, approach : 0, offers : 0.5, significant : 0.65, potential : 0.44, automating : 0.47, improving : 0.56, accuracy : 0, tasks : 0.54, by : 0, extracting : 0.59, complex : 0.42, visual : 0.52, features : 0.56, such : 0.45, as : 0.54, color : 0, texture : 0.5, this : 0.57, study : 0.44, employs : 0.55, slr : 0.48, evaluate : 0.54, relevant : 0.57, research : 0.57, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.41, identify : 0.48, trends : 0.5, utilizing : 0.55, purpose : 0.5, results : 0.59, demonstrate : 0.42, that : 0, achieves : 0.57, superior : 0.4, 90 : 0, compared : 0.41, traditional : 0.54, methods : 0.5, like : 0.41, k : 0, nearest : 0.48, neighbor : 0.49, knn : 0, however : 0.5, limitations : 0.57, include : 0.5, restricted : 0.53, dataset : 0.5, diversity : 0.55, insufficient : 0.64, testing : 0.59, under : 0.44, real : 0.45, world : 0, conditions : 0.53, recommendations : 0.57, emphasize : 0.67, need : 0.57, larger : 0.43, more : 0.45, diverse : 0.59, datasets : 0.57, integration : 0.52, additional : 0.54, media : 0.54, spectral : 0.32, data : 0, video : 0.37, enhance : 0.53, model : 0.44, robustness : 0.53 |
| 44. mendorong | 130 words | 0.72 | systematic : 0.4, literature : 0.47, review : 0.43, on : 0.54, the : 0.48, application : 0.47, of : 0, convolutional : 0.5, neural : 0.5, networks : 0.56, for : 0.63, rambutan : 0.49, fruit : 0, classification : 0.46, advances : 0.32, challenges : 0.54, and : 0.63, future : 0.43, directions : 0.55, nephelium : 0.31, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.41, widely : 0.35, cultivated : 0, in : 0.54, southeast : 0.41, asia : 0, including : 0.63, indonesia : 0.63, manual : 0.57, types : 0.44, ripeness : 0.49, levels : 0.43, remains : 0.48, challenge : 0.48, due : 0.46, to : 0.54, high : 0, subjectivity : 0.4, time : 0.57, intensive : 0.44, nature : 0.52, process : 0.34, particularly : 0.4, large : 0.37, scale : 0.44, agricultural : 0.4, operations : 0.62, network : 0.59, cnn : 0.48, deep : 0.41, learning : 0.66, approach : 0.32, offers : 0.52, significant : 0.47, potential : 0.39, automating : 0.53, improving : 0.64, accuracy : 0.41, tasks : 0, by : 0, extracting : 0.61, complex : 0.34, visual : 0, features : 0.49, such : 0, as : 0, color : 0.53, texture : 0.5, this : 0, study : 0.44, employs : 0.48, slr : 0.48, evaluate : 0.41, relevant : 0.49, research : 0.49, from : 0.41, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.4, trends : 0.61, utilizing : 0.48, purpose : 0.34, results : 0.42, demonstrate : 0.63, that : 0, achieves : 0.41, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.48, methods : 0.67, like : 0.45, k : 0, nearest : 0.48, neighbor : 0.56, knn : 0.48, however : 0.48, limitations : 0.54, include : 0.5, restricted : 0.47, dataset : 0.42, diversity : 0.44, insufficient : 0.46, testing : 0.59, under : 0.62, real : 0.45, world : 0.48, conditions : 0.59, recommendations : 0.7, emphasize : 0.31, need : 0.58, larger : 0.35, more : 0.72, diverse : 0.48, datasets : 0.41, integration : 0.57, additional : 0.54, media : 0.72, spectral : 0.49, data : 0.45, video : 0.53, enhance : 0.59, model : 0.7, robustness : 0.31 |
| 45. prinsip | 130 words | 0.76 | systematic : 0.5, literature : 0.33, review : 0.54, on : 0.55, the : 0, application : 0.56, of : 0, convolutional : 0.48, neural : 0.44, networks : 0.51, for : 0.49, rambutan : 0.42, fruit : 0.56, classification : 0.44, advances : 0.51, challenges : 0.41, and : 0.49, future : 0, directions : 0.47, nephelium : 0.48, lappaceum : 0.5, l : 0, is : 0.55, a : 0, tropical : 0.49, widely : 0.44, cultivated : 0.41, in : 0.76, southeast : 0.42, asia : 0.46, including : 0.59, indonesia : 0.67, manual : 0.44, types : 0.56, ripeness : 0.68, levels : 0.44, remains : 0.71, challenge : 0.42, due : 0, to : 0, high : 0.46, subjectivity : 0.45, time : 0.46, intensive : 0.67, nature : 0, process : 0.7, particularly : 0.6, large : 0.45, scale : 0, agricultural : 0.48, operations : 0.58, network : 0, cnn : 0.49, deep : 0, learning : 0.49, approach : 0.51, offers : 0.44, significant : 0.52, potential : 0.63, automating : 0.41, improving : 0.55, accuracy : 0.42, tasks : 0.45, by : 0, extracting : 0.5, complex : 0, visual : 0.54, features : 0.42, such : 0, as : 0, color : 0, texture : 0, this : 0.6, study : 0, employs : 0.52, slr : 0.49, evaluate : 0, relevant : 0.51, research : 0.51, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.42, identify : 0.6, trends : 0.64, utilizing : 0.5, purpose : 0.66, results : 0.52, demonstrate : 0.49, that : 0, achieves : 0.51, superior : 0.6, 90 : 0, compared : 0.42, traditional : 0.57, methods : 0.43, like : 0.46, k : 0, nearest : 0.52, neighbor : 0.35, knn : 0.49, however : 0, limitations : 0.49, include : 0.52, restricted : 0.47, dataset : 0.43, diversity : 0.59, insufficient : 0.63, testing : 0.45, under : 0.45, real : 0.46, world : 0.45, conditions : 0.47, recommendations : 0.54, emphasize : 0.59, need : 0, larger : 0.44, more : 0.46, diverse : 0.52, datasets : 0.42, integration : 0.52, additional : 0.47, media : 0.45, spectral : 0.42, data : 0, video : 0.45, enhance : 0.43, model : 0, robustness : 0.47 |
| 46. salah | 130 words | 0.76 | systematic : 0.58, literature : 0.37, review : 0, on : 0, the : 0, application : 0.62, of : 0, convolutional : 0.43, neural : 0.46, networks : 0, for : 0, rambutan : 0.55, fruit : 0, classification : 0.61, advances : 0.55, challenges : 0.47, and : 0.51, future : 0, directions : 0, nephelium : 0.37, lappaceum : 0.53, l : 0, is : 0.57, a : 0.73, tropical : 0.44, widely : 0.46, cultivated : 0.53, in : 0, southeast : 0.58, asia : 0.67, including : 0.44, indonesia : 0, manual : 0.58, types : 0, ripeness : 0, levels : 0.46, remains : 0.45, challenge : 0.48, due : 0, to : 0, high : 0.48, subjectivity : 0.49, time : 0, intensive : 0, nature : 0.46, process : 0, particularly : 0.62, large : 0.47, scale : 0.76, agricultural : 0.52, operations : 0.43, network : 0, cnn : 0, deep : 0, learning : 0.38, approach : 0.66, offers : 0, significant : 0.49, potential : 0, automating : 0.53, improving : 0, accuracy : 0.55, tasks : 0.47, by : 0, extracting : 0.43, complex : 0.45, visual : 0.58, features : 0.44, such : 0.67, as : 0.63, color : 0.47, texture : 0, this : 0, study : 0.52, employs : 0.45, slr : 0.72, evaluate : 0.66, relevant : 0.55, research : 0.66, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.55, identify : 0, trends : 0, utilizing : 0.44, purpose : 0, results : 0.56, demonstrate : 0, that : 0.48, achieves : 0.55, superior : 0.5, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0.45, like : 0, k : 0, nearest : 0.45, neighbor : 0.44, knn : 0, however : 0, limitations : 0.36, include : 0.45, restricted : 0.43, dataset : 0.56, diversity : 0, insufficient : 0.43, testing : 0.45, under : 0, real : 0.63, world : 0.47, conditions : 0, recommendations : 0.42, emphasize : 0.37, need : 0, larger : 0.41, more : 0, diverse : 0, datasets : 0.55, integration : 0.43, additional : 0.43, media : 0.47, spectral : 0.6, data : 0.63, video : 0, enhance : 0.4, model : 0, robustness : 0.43 |
| 47. satu | 130 words | 0.81 | systematic : 0.61, literature : 0.57, review : 0, on : 0, the : 0, application : 0.45, of : 0, convolutional : 0.38, neural : 0.47, networks : 0.46, for : 0, rambutan : 0.6, fruit : 0.48, classification : 0.38, advances : 0.46, challenges : 0.45, and : 0.53, future : 0.44, directions : 0.45, nephelium : 0, lappaceum : 0.45, l : 0, is : 0.58, a : 0.75, tropical : 0.46, widely : 0, cultivated : 0.4, in : 0, southeast : 0.63, asia : 0.5, including : 0.45, indonesia : 0, manual : 0.61, types : 0, ripeness : 0, levels : 0, remains : 0.46, challenge : 0.45, due : 0, to : 0, high : 0, subjectivity : 0.6, time : 0, intensive : 0.45, nature : 0.75, process : 0, particularly : 0.67, large : 0.48, scale : 0.67, agricultural : 0.56, operations : 0.57, network : 0.46, cnn : 0, deep : 0, learning : 0.46, approach : 0.46, offers : 0, significant : 0.5, potential : 0.45, automating : 0.57, improving : 0, accuracy : 0.58, tasks : 0.48, by : 0, extracting : 0.4, complex : 0, visual : 0.61, features : 0.71, such : 0.55, as : 0.67, color : 0, texture : 0.6, this : 0, study : 0.8, employs : 0, slr : 0.58, evaluate : 0.58, relevant : 0, research : 0.58, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.46, identify : 0.46, trends : 0.47, utilizing : 0.41, purpose : 0.46, results : 0.6, demonstrate : 0.45, that : 0.67, achieves : 0.46, superior : 0.63, 90 : 0, compared : 0.46, traditional : 0.39, methods : 0.46, like : 0, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0, limitations : 0.39, include : 0.46, restricted : 0.57, dataset : 0.6, diversity : 0, insufficient : 0.56, testing : 0.43, under : 0, real : 0.5, world : 0, conditions : 0.45, recommendations : 0, emphasize : 0.45, need : 0, larger : 0.47, more : 0, diverse : 0, datasets : 0.58, integration : 0.45, additional : 0.57, media : 0, spectral : 0.63, data : 0.67, video : 0, enhance : 0.46, model : 0, robustness : 0.52 |
| 48. langkah | 130 words | 0.74 | systematic : 0.41, literature : 0.55, review : 0, on : 0.55, the : 0, application : 0.46, of : 0, convolutional : 0.31, neural : 0.54, networks : 0.51, for : 0, rambutan : 0.51, fruit : 0, classification : 0.55, advances : 0.49, challenges : 0.57, and : 0.65, future : 0, directions : 0, nephelium : 0.5, lappaceum : 0.67, l : 0.74, is : 0, a : 0.71, tropical : 0.42, widely : 0, cultivated : 0.5, in : 0.55, southeast : 0.34, asia : 0.6, including : 0.34, indonesia : 0.5, manual : 0.64, types : 0, ripeness : 0.42, levels : 0.49, remains : 0.43, challenge : 0.34, due : 0, to : 0, high : 0.46, subjectivity : 0, time : 0, intensive : 0.42, nature : 0.37, process : 0, particularly : 0.48, large : 0.74, scale : 0.45, agricultural : 0.56, operations : 0.41, network : 0.52, cnn : 0.49, deep : 0, learning : 0.64, approach : 0.6, offers : 0, significant : 0.46, potential : 0.5, automating : 0.5, improving : 0, accuracy : 0.51, tasks : 0.56, by : 0, extracting : 0.41, complex : 0, visual : 0.44, features : 0.42, such : 0, as : 0.55, color : 0.45, texture : 0, this : 0, study : 0, employs : 0, slr : 0.49, evaluate : 0.49, relevant : 0.51, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.52, identify : 0.42, trends : 0.44, utilizing : 0.42, purpose : 0, results : 0, demonstrate : 0.49, that : 0.46, achieves : 0.42, superior : 0, 90 : 0, compared : 0.42, traditional : 0.49, methods : 0, like : 0.64, k : 0, nearest : 0.36, neighbor : 0.6, knn : 0.49, however : 0, limitations : 0.54, include : 0.43, restricted : 0, dataset : 0.52, diversity : 0, insufficient : 0.41, testing : 0, under : 0.45, real : 0.46, world : 0, conditions : 0.41, recommendations : 0.47, emphasize : 0.34, need : 0.46, larger : 0.71, more : 0, diverse : 0, datasets : 0.51, integration : 0.57, additional : 0.5, media : 0.45, spectral : 0.42, data : 0.6, video : 0, enhance : 0.36, model : 0, robustness : 0.41 |
| 49. memperkuat | 130 words | 0.71 | systematic : 0.6, literature : 0.57, review : 0.51, on : 0, the : 0.48, application : 0.52, of : 0, convolutional : 0.4, neural : 0.6, networks : 0.56, for : 0.48, rambutan : 0.55, fruit : 0.43, classification : 0.45, advances : 0.41, challenges : 0.47, and : 0, future : 0.49, directions : 0.42, nephelium : 0.61, lappaceum : 0.49, l : 0, is : 0, a : 0, tropical : 0.45, widely : 0.42, cultivated : 0.37, in : 0, southeast : 0.54, asia : 0, including : 0.4, indonesia : 0.47, manual : 0.64, types : 0.37, ripeness : 0.45, levels : 0.51, remains : 0.33, challenge : 0.47, due : 0.48, to : 0, high : 0, subjectivity : 0.46, time : 0.57, intensive : 0.47, nature : 0.49, process : 0.41, particularly : 0.58, large : 0.37, scale : 0.43, agricultural : 0.49, operations : 0.6, network : 0.58, cnn : 0, deep : 0.57, learning : 0.48, approach : 0.56, offers : 0.51, significant : 0.46, potential : 0.45, automating : 0.53, improving : 0.54, accuracy : 0.45, tasks : 0.43, by : 0, extracting : 0.6, complex : 0.47, visual : 0.51, features : 0.55, such : 0, as : 0, color : 0.43, texture : 0.57, this : 0, study : 0, employs : 0.47, slr : 0.48, evaluate : 0.58, relevant : 0.63, research : 0.55, from : 0.4, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.41, trends : 0.34, utilizing : 0, purpose : 0.47, results : 0.58, demonstrate : 0.48, that : 0, achieves : 0.48, superior : 0.45, 90 : 0, compared : 0.64, traditional : 0.41, methods : 0.6, like : 0.4, k : 0, nearest : 0.57, neighbor : 0.48, knn : 0, however : 0.58, limitations : 0.52, include : 0.33, restricted : 0.48, dataset : 0.5, diversity : 0.54, insufficient : 0.41, testing : 0.41, under : 0.53, real : 0.45, world : 0.43, conditions : 0.4, recommendations : 0.65, emphasize : 0.55, need : 0.57, larger : 0.34, more : 0.62, diverse : 0.47, datasets : 0.48, integration : 0.59, additional : 0.4, media : 0.71, spectral : 0.55, data : 0, video : 0.43, enhance : 0.5, model : 0.58, robustness : 0.37 |
| 50. mencakup | 130 words | 0.73 | systematic : 0.48, literature : 0.56, review : 0.43, on : 0.54, the : 0.49, application : 0.31, of : 0, convolutional : 0.42, neural : 0.51, networks : 0.47, for : 0, rambutan : 0.47, fruit : 0, classification : 0.46, advances : 0.42, challenges : 0.47, and : 0.49, future : 0.43, directions : 0.48, nephelium : 0.46, lappaceum : 0.46, l : 0, is : 0, a : 0, tropical : 0.5, widely : 0.43, cultivated : 0.48, in : 0.54, southeast : 0.41, asia : 0.46, including : 0.57, indonesia : 0.41, manual : 0.67, types : 0.44, ripeness : 0.5, levels : 0.43, remains : 0.52, challenge : 0.49, due : 0.49, to : 0, high : 0, subjectivity : 0.38, time : 0.58, intensive : 0.32, nature : 0.63, process : 0.35, particularly : 0.43, large : 0.38, scale : 0.49, agricultural : 0.43, operations : 0.48, network : 0.49, cnn : 0.47, deep : 0.46, learning : 0.47, approach : 0.33, offers : 0.43, significant : 0.55, potential : 0.57, automating : 0.32, improving : 0.41, accuracy : 0.47, tasks : 0.55, by : 0, extracting : 0.45, complex : 0.35, visual : 0.36, features : 0.58, such : 0.46, as : 0, color : 0.44, texture : 0.51, this : 0, study : 0, employs : 0.35, slr : 0, evaluate : 0.58, relevant : 0.5, research : 0.47, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.5, trends : 0.53, utilizing : 0, purpose : 0, results : 0.51, demonstrate : 0.54, that : 0.46, achieves : 0.33, superior : 0.42, 90 : 0, compared : 0.47, traditional : 0.41, methods : 0.61, like : 0.42, k : 0, nearest : 0.49, neighbor : 0.33, knn : 0.49, however : 0.42, limitations : 0.48, include : 0.6, restricted : 0.48, dataset : 0.42, diversity : 0.41, insufficient : 0.43, testing : 0.51, under : 0.38, real : 0.58, world : 0, conditions : 0.32, recommendations : 0.52, emphasize : 0.46, need : 0.42, larger : 0.36, more : 0.63, diverse : 0.42, datasets : 0.42, integration : 0.44, additional : 0.41, media : 0.73, spectral : 0.58, data : 0.46, video : 0.44, enhance : 0.61, model : 0.6, robustness : 0.32 |
| 51. keadilan | 130 words | 0.74 | systematic : 0.56, literature : 0.39, review : 0.53, on : 0, the : 0.49, application : 0.63, of : 0, convolutional : 0.48, neural : 0.63, networks : 0.42, for : 0, rambutan : 0.58, fruit : 0.44, classification : 0.56, advances : 0.67, challenges : 0.51, and : 0.64, future : 0, directions : 0.51, nephelium : 0.46, lappaceum : 0.49, l : 0, is : 0, a : 0.71, tropical : 0.47, widely : 0.64, cultivated : 0.45, in : 0, southeast : 0.41, asia : 0.71, including : 0.52, indonesia : 0.52, manual : 0.51, types : 0.44, ripeness : 0.47, levels : 0.53, remains : 0.69, challenge : 0.57, due : 0.47, to : 0, high : 0.46, subjectivity : 0.47, time : 0.42, intensive : 0.46, nature : 0.43, process : 0.42, particularly : 0.61, large : 0.38, scale : 0.49, agricultural : 0.61, operations : 0.63, network : 0.42, cnn : 0, deep : 0.42, learning : 0.58, approach : 0.5, offers : 0.43, significant : 0.44, potential : 0.63, automating : 0.55, improving : 0.49, accuracy : 0.5, tasks : 0.38, by : 0, extracting : 0.63, complex : 0.42, visual : 0.51, features : 0.5, such : 0, as : 0.54, color : 0.44, texture : 0.42, this : 0.46, study : 0.44, employs : 0.51, slr : 0, evaluate : 0.67, relevant : 0.58, research : 0.5, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.47, trends : 0.53, utilizing : 0.57, purpose : 0, results : 0.51, demonstrate : 0.45, that : 0.46, achieves : 0.42, superior : 0.5, 90 : 0, compared : 0.42, traditional : 0.63, methods : 0.51, like : 0.54, k : 0.74, nearest : 0.51, neighbor : 0.5, knn : 0.54, however : 0.42, limitations : 0.44, include : 0.35, restricted : 0.48, dataset : 0.49, diversity : 0.4, insufficient : 0.47, testing : 0.6, under : 0.38, real : 0.71, world : 0.38, conditions : 0.56, recommendations : 0.46, emphasize : 0.57, need : 0.58, larger : 0.36, more : 0.46, diverse : 0.43, datasets : 0.47, integration : 0.5, additional : 0.73, media : 0.64, spectral : 0.47, data : 0.6, video : 0.55, enhance : 0.6, model : 0.55, robustness : 0.41 |
| 52. keterbukaan | 130 words | 0.73 | systematic : 0.41, literature : 0.52, review : 0.48, on : 0, the : 0.45, application : 0.45, of : 0, convolutional : 0.39, neural : 0.59, networks : 0.62, for : 0.47, rambutan : 0.65, fruit : 0.46, classification : 0.5, advances : 0.41, challenges : 0.46, and : 0, future : 0.55, directions : 0.46, nephelium : 0.54, lappaceum : 0.37, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0.42, cultivated : 0.46, in : 0, southeast : 0.52, asia : 0, including : 0.47, indonesia : 0.47, manual : 0.51, types : 0.36, ripeness : 0.44, levels : 0.51, remains : 0.32, challenge : 0.47, due : 0.47, to : 0.53, high : 0, subjectivity : 0.4, time : 0.39, intensive : 0.3, nature : 0.55, process : 0.32, particularly : 0.48, large : 0.36, scale : 0.43, agricultural : 0.44, operations : 0.55, network : 0.65, cnn : 0, deep : 0.56, learning : 0.55, approach : 0.48, offers : 0.51, significant : 0.45, potential : 0.42, automating : 0.52, improving : 0.47, accuracy : 0.44, tasks : 0.36, by : 0, extracting : 0.65, complex : 0.41, visual : 0.51, features : 0.63, such : 0, as : 0, color : 0.43, texture : 0.59, this : 0.45, study : 0.53, employs : 0.41, slr : 0.47, evaluate : 0.56, relevant : 0.63, research : 0.54, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.48, trends : 0.42, utilizing : 0.47, purpose : 0.32, results : 0.48, demonstrate : 0.58, that : 0.45, achieves : 0.48, superior : 0.48, 90 : 0, compared : 0.44, traditional : 0.49, methods : 0.49, like : 0.56, k : 0.73, nearest : 0.56, neighbor : 0.44, knn : 0.53, however : 0.57, limitations : 0.52, include : 0.32, restricted : 0.36, dataset : 0.32, diversity : 0.47, insufficient : 0.45, testing : 0.32, under : 0.53, real : 0.39, world : 0.43, conditions : 0.46, recommendations : 0.46, emphasize : 0.47, need : 0.56, larger : 0.34, more : 0.39, diverse : 0.46, datasets : 0.31, integration : 0.57, additional : 0.41, media : 0.53, spectral : 0.62, data : 0.45, video : 0.43, enhance : 0.49, model : 0.43, robustness : 0.55 |
| 53. kehati | 130 words | 0.75 | systematic : 0.56, literature : 0.52, review : 0.56, on : 0, the : 0.5, application : 0.48, of : 0, convolutional : 0.5, neural : 0.56, networks : 0.53, for : 0, rambutan : 0.53, fruit : 0.41, classification : 0.46, advances : 0.43, challenges : 0.43, and : 0, future : 0.44, directions : 0.43, nephelium : 0.61, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.36, widely : 0.44, cultivated : 0.43, in : 0, southeast : 0.44, asia : 0.47, including : 0.43, indonesia : 0.43, manual : 0.44, types : 0.46, ripeness : 0.43, levels : 0.44, remains : 0.64, challenge : 0.52, due : 0.5, to : 0, high : 0.47, subjectivity : 0.58, time : 0.47, intensive : 0.5, nature : 0.56, process : 0, particularly : 0.58, large : 0.46, scale : 0.46, agricultural : 0.47, operations : 0.69, network : 0.54, cnn : 0, deep : 0.47, learning : 0.63, approach : 0.43, offers : 0.44, significant : 0.42, potential : 0.5, automating : 0.6, improving : 0.43, accuracy : 0.43, tasks : 0.46, by : 0, extracting : 0.61, complex : 0, visual : 0.44, features : 0.63, such : 0.47, as : 0, color : 0, texture : 0.54, this : 0.47, study : 0, employs : 0.44, slr : 0, evaluate : 0.63, relevant : 0.63, research : 0.53, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.63, trends : 0.44, utilizing : 0.52, purpose : 0, results : 0.54, demonstrate : 0.51, that : 0.75, achieves : 0.6, superior : 0.53, 90 : 0, compared : 0.43, traditional : 0.48, methods : 0.53, like : 0.61, k : 0.75, nearest : 0.64, neighbor : 0.51, knn : 0.55, however : 0.37, limitations : 0.48, include : 0, restricted : 0.6, dataset : 0.54, diversity : 0.5, insufficient : 0.42, testing : 0.64, under : 0.46, real : 0.61, world : 0, conditions : 0.34, recommendations : 0.64, emphasize : 0.7, need : 0.47, larger : 0.44, more : 0.47, diverse : 0.44, datasets : 0.53, integration : 0.55, additional : 0.49, media : 0.59, spectral : 0.51, data : 0.61, video : 0.46, enhance : 0.64, model : 0.46, robustness : 0.42 |
| 54. hatian | 130 words | 0.75 | systematic : 0.51, literature : 0.49, review : 0.44, on : 0, the : 0.5, application : 0.59, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.43, for : 0, rambutan : 0.72, fruit : 0.41, classification : 0.57, advances : 0.63, challenges : 0.6, and : 0.5, future : 0.44, directions : 0.49, nephelium : 0.52, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.63, widely : 0.44, cultivated : 0.6, in : 0, southeast : 0.52, asia : 0.75, including : 0.52, indonesia : 0.52, manual : 0.56, types : 0.46, ripeness : 0.53, levels : 0, remains : 0.64, challenge : 0.61, due : 0, to : 0.56, high : 0.65, subjectivity : 0.5, time : 0.61, intensive : 0.5, nature : 0.56, process : 0, particularly : 0.67, large : 0.46, scale : 0.46, agricultural : 0.47, operations : 0.69, network : 0.44, cnn : 0, deep : 0, learning : 0.51, approach : 0.53, offers : 0, significant : 0.48, potential : 0.58, automating : 0.71, improving : 0.52, accuracy : 0.53, tasks : 0.41, by : 0, extracting : 0.61, complex : 0, visual : 0.56, features : 0.53, such : 0, as : 0.56, color : 0, texture : 0.44, this : 0.64, study : 0.46, employs : 0, slr : 0, evaluate : 0.53, relevant : 0.53, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.53, identify : 0.46, trends : 0.56, utilizing : 0.61, purpose : 0, results : 0, demonstrate : 0.42, that : 0.58, achieves : 0.51, superior : 0.43, 90 : 0, compared : 0.43, traditional : 0.59, methods : 0.44, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.43, knn : 0, however : 0.49, limitations : 0.59, include : 0, restricted : 0.51, dataset : 0.64, diversity : 0.43, insufficient : 0.5, testing : 0.64, under : 0, real : 0.47, world : 0, conditions : 0.49, recommendations : 0.32, emphasize : 0.61, need : 0, larger : 0.44, more : 0, diverse : 0.44, datasets : 0.63, integration : 0.51, additional : 0.64, media : 0.58, spectral : 0.53, data : 0.75, video : 0.46, enhance : 0.64, model : 0, robustness : 0.51 |
| 55. keberlanjutan | 130 words | 0.73 | systematic : 0.51, literature : 0.55, review : 0.47, on : 0, the : 0.47, application : 0.47, of : 0, convolutional : 0.47, neural : 0.57, networks : 0.47, for : 0.47, rambutan : 0.64, fruit : 0.43, classification : 0.51, advances : 0.37, challenges : 0.46, and : 0, future : 0.33, directions : 0.4, nephelium : 0.58, lappaceum : 0.46, l : 0.69, is : 0, a : 0, tropical : 0.42, widely : 0.5, cultivated : 0.4, in : 0, southeast : 0.52, asia : 0.44, including : 0.41, indonesia : 0.35, manual : 0.41, types : 0.43, ripeness : 0.48, levels : 0.47, remains : 0.54, challenge : 0.48, due : 0.47, to : 0, high : 0, subjectivity : 0.42, time : 0.44, intensive : 0.41, nature : 0.47, process : 0.31, particularly : 0.47, large : 0.54, scale : 0.5, agricultural : 0.47, operations : 0.56, network : 0.48, cnn : 0.47, deep : 0.55, learning : 0.54, approach : 0.47, offers : 0.5, significant : 0.39, potential : 0.51, automating : 0.4, improving : 0.46, accuracy : 0.47, tasks : 0.35, by : 0.53, extracting : 0.56, complex : 0.31, visual : 0.33, features : 0.54, such : 0, as : 0, color : 0.35, texture : 0.54, this : 0, study : 0, employs : 0.48, slr : 0.44, evaluate : 0.63, relevant : 0.73, research : 0.52, from : 0.44, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.42, identify : 0.47, trends : 0.47, utilizing : 0.46, purpose : 0.31, results : 0.54, demonstrate : 0.48, that : 0.44, achieves : 0.47, superior : 0.47, 90 : 0, compared : 0.42, traditional : 0.56, methods : 0.41, like : 0.49, k : 0.72, nearest : 0.63, neighbor : 0.54, knn : 0.65, however : 0.55, limitations : 0.47, include : 0.39, restricted : 0.44, dataset : 0.44, diversity : 0.52, insufficient : 0.44, testing : 0.48, under : 0.52, real : 0.6, world : 0.52, conditions : 0.51, recommendations : 0.57, emphasize : 0.41, need : 0.55, larger : 0.49, more : 0.38, diverse : 0.44, datasets : 0.42, integration : 0.55, additional : 0.4, media : 0.52, spectral : 0.52, data : 0.44, video : 0.43, enhance : 0.5, model : 0.52, robustness : 0.49 |
| 56. nafisya | 130 words | 0.71 | systematic : 0.58, literature : 0.33, review : 0.44, on : 0.55, the : 0, application : 0.57, of : 0.55, convolutional : 0.55, neural : 0.59, networks : 0.56, for : 0.49, rambutan : 0.51, fruit : 0.56, classification : 0.62, advances : 0.49, challenges : 0.41, and : 0.48, future : 0.44, directions : 0.41, nephelium : 0.55, lappaceum : 0.5, l : 0, is : 0, a : 0.71, tropical : 0.51, widely : 0.54, cultivated : 0.5, in : 0.55, southeast : 0.34, asia : 0.6, including : 0.34, indonesia : 0.59, manual : 0.53, types : 0.45, ripeness : 0.51, levels : 0.44, remains : 0.62, challenge : 0.42, due : 0, to : 0, high : 0.46, subjectivity : 0.32, time : 0.46, intensive : 0.48, nature : 0.63, process : 0.43, particularly : 0.56, large : 0.45, scale : 0.45, agricultural : 0.56, operations : 0.5, network : 0.49, cnn : 0.49, deep : 0, learning : 0.51, approach : 0.51, offers : 0.54, significant : 0.59, potential : 0.5, automating : 0.47, improving : 0.42, accuracy : 0.49, tasks : 0.56, by : 0, extracting : 0.5, complex : 0, visual : 0.64, features : 0.49, such : 0, as : 0.55, color : 0, texture : 0, this : 0.6, study : 0.45, employs : 0.36, slr : 0, evaluate : 0.51, relevant : 0.42, research : 0.35, from : 0.46, 2019 : 0, 2024 : 0, was : 0.65, analyzed : 0.49, identify : 0.49, trends : 0.44, utilizing : 0.42, purpose : 0.43, results : 0.43, demonstrate : 0.57, that : 0.46, achieves : 0.6, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.57, methods : 0.43, like : 0.46, k : 0, nearest : 0.66, neighbor : 0.56, knn : 0.49, however : 0, limitations : 0.32, include : 0.43, restricted : 0.33, dataset : 0.52, diversity : 0.59, insufficient : 0.47, testing : 0.36, under : 0.45, real : 0.46, world : 0, conditions : 0.5, recommendations : 0.4, emphasize : 0.48, need : 0.52, larger : 0.44, more : 0, diverse : 0.52, datasets : 0.49, integration : 0.46, additional : 0.58, media : 0.56, spectral : 0.42, data : 0.46, video : 0.45, enhance : 0.52, model : 0, robustness : 0.41 |
| 57. sapa | 130 words | 0.75 | systematic : 0.61, literature : 0.45, review : 0, on : 0, the : 0, application : 0.67, of : 0, convolutional : 0, neural : 0.47, networks : 0, for : 0, rambutan : 0.58, fruit : 0, classification : 0.54, advances : 0.58, challenges : 0.45, and : 0.53, future : 0, directions : 0, nephelium : 0.45, lappaceum : 0.69, l : 0, is : 0.58, a : 0.75, tropical : 0.58, widely : 0, cultivated : 0.45, in : 0, southeast : 0.62, asia : 0.72, including : 0, indonesia : 0, manual : 0.61, types : 0.48, ripeness : 0.46, levels : 0, remains : 0.46, challenge : 0.45, due : 0, to : 0, high : 0, subjectivity : 0.5, time : 0, intensive : 0, nature : 0.47, process : 0.46, particularly : 0.56, large : 0.48, scale : 0.67, agricultural : 0.44, operations : 0.4, network : 0, cnn : 0, deep : 0.5, learning : 0.46, approach : 0.71, offers : 0, significant : 0.5, potential : 0.45, automating : 0.57, improving : 0.45, accuracy : 0.58, tasks : 0.48, by : 0, extracting : 0.45, complex : 0.46, visual : 0.61, features : 0.46, such : 0.55, as : 0.67, color : 0, texture : 0, this : 0, study : 0.54, employs : 0.46, slr : 0.58, evaluate : 0.58, relevant : 0.46, research : 0.58, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.58, identify : 0, trends : 0, utilizing : 0, purpose : 0.46, results : 0.46, demonstrate : 0, that : 0.5, achieves : 0.46, superior : 0.63, 90 : 0, compared : 0.42, traditional : 0.45, methods : 0, like : 0, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0, limitations : 0.45, include : 0, restricted : 0.45, dataset : 0.6, diversity : 0, insufficient : 0.44, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0, recommendations : 0.44, emphasize : 0.41, need : 0, larger : 0.47, more : 0, diverse : 0, datasets : 0.58, integration : 0.45, additional : 0.45, media : 0.48, spectral : 0.74, data : 0.67, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 58. 2025 | 130 words | 0.88 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0.73, 2024 : 0.88, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.58, compared : 0, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 59. diera | 130 words | 0.83 | systematic : 0.53, literature : 0.73, review : 0.41, on : 0, the : 0.51, application : 0.36, of : 0, convolutional : 0, neural : 0.7, networks : 0.55, for : 0.51, rambutan : 0.55, fruit : 0, classification : 0.35, advances : 0.55, challenges : 0.37, and : 0, future : 0.46, directions : 0.72, nephelium : 0.44, lappaceum : 0.44, l : 0, is : 0.57, a : 0, tropical : 0.55, widely : 0.59, cultivated : 0.53, in : 0.57, southeast : 0.54, asia : 0.63, including : 0.44, indonesia : 0.53, manual : 0.46, types : 0.47, ripeness : 0.49, levels : 0.46, remains : 0.56, challenge : 0.37, due : 0.72, to : 0, high : 0.48, subjectivity : 0.43, time : 0.63, intensive : 0.54, nature : 0.46, process : 0.4, particularly : 0.51, large : 0.47, scale : 0, agricultural : 0.51, operations : 0.63, network : 0.56, cnn : 0, deep : 0.67, learning : 0.55, approach : 0.55, offers : 0.58, significant : 0.53, potential : 0.54, automating : 0.43, improving : 0.54, accuracy : 0.55, tasks : 0, by : 0, extracting : 0.63, complex : 0, visual : 0.58, features : 0.55, such : 0, as : 0, color : 0.47, texture : 0.56, this : 0.48, study : 0, employs : 0.45, slr : 0.51, evaluate : 0.55, relevant : 0.55, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.55, trends : 0.41, utilizing : 0.44, purpose : 0.45, results : 0.45, demonstrate : 0.75, that : 0, achieves : 0.55, superior : 0.55, 90 : 0, compared : 0.38, traditional : 0.55, methods : 0.45, like : 0.63, k : 0, nearest : 0.57, neighbor : 0.38, knn : 0, however : 0.45, limitations : 0.53, include : 0.45, restricted : 0.52, dataset : 0.61, diversity : 0.8, insufficient : 0.43, testing : 0.45, under : 0.6, real : 0.48, world : 0.47, conditions : 0.53, recommendations : 0.49, emphasize : 0.54, need : 0.48, larger : 0.41, more : 0.47, diverse : 0.83, datasets : 0.59, integration : 0.72, additional : 0.47, media : 0.6, spectral : 0.66, data : 0.67, video : 0.6, enhance : 0.56, model : 0.47, robustness : 0.43 |
| 60. sekarang | 130 words | 0.75 | systematic : 0.6, literature : 0.45, review : 0.43, on : 0, the : 0.49, application : 0.55, of : 0, convolutional : 0.4, neural : 0.51, networks : 0.5, for : 0.49, rambutan : 0.58, fruit : 0.44, classification : 0.42, advances : 0.58, challenges : 0.55, and : 0.49, future : 0.43, directions : 0.45, nephelium : 0.41, lappaceum : 0.49, l : 0, is : 0.54, a : 0.71, tropical : 0.33, widely : 0.43, cultivated : 0.41, in : 0, southeast : 0.54, asia : 0.6, including : 0.49, indonesia : 0.32, manual : 0.53, types : 0.44, ripeness : 0.5, levels : 0.43, remains : 0.6, challenge : 0.57, due : 0.49, to : 0, high : 0, subjectivity : 0.52, time : 0.46, intensive : 0.49, nature : 0.53, process : 0.35, particularly : 0.54, large : 0.49, scale : 0.59, agricultural : 0.54, operations : 0.55, network : 0.51, cnn : 0, deep : 0.46, learning : 0.75, approach : 0.58, offers : 0.53, significant : 0.49, potential : 0.46, automating : 0.63, improving : 0.57, accuracy : 0.58, tasks : 0.49, by : 0, extracting : 0.64, complex : 0, visual : 0.53, features : 0.58, such : 0.51, as : 0.58, color : 0.44, texture : 0.51, this : 0.46, study : 0.5, employs : 0.42, slr : 0.67, evaluate : 0.58, relevant : 0.58, research : 0.58, from : 0.46, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.5, identify : 0.5, trends : 0.51, utilizing : 0.49, purpose : 0.42, results : 0.35, demonstrate : 0.5, that : 0.46, achieves : 0.33, superior : 0.63, 90 : 0, compared : 0.5, traditional : 0.45, methods : 0.42, like : 0.42, k : 0.71, nearest : 0.6, neighbor : 0.5, knn : 0.49, however : 0.51, limitations : 0.48, include : 0, restricted : 0.45, dataset : 0.51, diversity : 0.49, insufficient : 0.31, testing : 0.61, under : 0.55, real : 0.58, world : 0.44, conditions : 0.41, recommendations : 0.42, emphasize : 0.49, need : 0.46, larger : 0.46, more : 0.42, diverse : 0.51, datasets : 0.5, integration : 0.59, additional : 0.45, media : 0.55, spectral : 0.63, data : 0.58, video : 0.44, enhance : 0.6, model : 0.44, robustness : 0.45 |
| 61. didukung | 130 words | 0.68 | systematic : 0, literature : 0.48, review : 0.43, on : 0, the : 0, application : 0.48, of : 0, convolutional : 0.3, neural : 0.43, networks : 0.42, for : 0, rambutan : 0.5, fruit : 0.38, classification : 0.4, advances : 0.5, challenges : 0.48, and : 0.49, future : 0.53, directions : 0.65, nephelium : 0.41, lappaceum : 0.41, l : 0, is : 0.54, a : 0, tropical : 0.42, widely : 0.36, cultivated : 0.32, in : 0.54, southeast : 0.41, asia : 0.46, including : 0.66, indonesia : 0.46, manual : 0.43, types : 0, ripeness : 0.5, levels : 0, remains : 0.51, challenge : 0.49, due : 0.67, to : 0, high : 0.46, subjectivity : 0.4, time : 0.46, intensive : 0.49, nature : 0.43, process : 0, particularly : 0.47, large : 0, scale : 0, agricultural : 0.54, operations : 0.41, network : 0.42, cnn : 0, deep : 0.51, learning : 0.5, approach : 0, offers : 0, significant : 0.48, potential : 0.41, automating : 0.56, improving : 0.57, accuracy : 0.42, tasks : 0.44, by : 0, extracting : 0.48, complex : 0, visual : 0.53, features : 0.42, such : 0.46, as : 0, color : 0, texture : 0.42, this : 0.46, study : 0.38, employs : 0, slr : 0, evaluate : 0.42, relevant : 0.42, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.47, trends : 0.36, utilizing : 0.56, purpose : 0.42, results : 0.42, demonstrate : 0.53, that : 0, achieves : 0.42, superior : 0.42, 90 : 0, compared : 0, traditional : 0.55, methods : 0.42, like : 0.58, k : 0, nearest : 0, neighbor : 0.42, knn : 0, however : 0, limitations : 0.48, include : 0.49, restricted : 0.41, dataset : 0.48, diversity : 0.59, insufficient : 0.43, testing : 0.6, under : 0.38, real : 0, world : 0.44, conditions : 0.39, recommendations : 0.29, emphasize : 0, need : 0.46, larger : 0, more : 0, diverse : 0.61, datasets : 0.48, integration : 0.44, additional : 0.55, media : 0.55, spectral : 0, data : 0.51, video : 0.38, enhance : 0.42, model : 0.44, robustness : 0.48 |
| 62. fasilitas | 130 words | 0.77 | systematic : 0.49, literature : 0.49, review : 0.43, on : 0, the : 0, application : 0.63, of : 0.54, convolutional : 0.46, neural : 0.52, networks : 0.41, for : 0.53, rambutan : 0.57, fruit : 0.68, classification : 0.77, advances : 0.49, challenges : 0.54, and : 0.48, future : 0.48, directions : 0.53, nephelium : 0.31, lappaceum : 0.48, l : 0, is : 0.57, a : 0.7, tropical : 0.46, widely : 0.52, cultivated : 0.49, in : 0.54, southeast : 0.63, asia : 0.69, including : 0.56, indonesia : 0.5, manual : 0.5, types : 0.44, ripeness : 0.49, levels : 0.35, remains : 0.59, challenge : 0.48, due : 0, to : 0, high : 0.45, subjectivity : 0.51, time : 0.45, intensive : 0.44, nature : 0.43, process : 0.5, particularly : 0.56, large : 0.44, scale : 0.53, agricultural : 0.66, operations : 0.53, network : 0, cnn : 0, deep : 0, learning : 0.49, approach : 0.49, offers : 0.52, significant : 0.6, potential : 0.44, automating : 0.49, improving : 0.48, accuracy : 0.49, tasks : 0.54, by : 0, extracting : 0.38, complex : 0.42, visual : 0.62, features : 0.68, such : 0.45, as : 0.74, color : 0.44, texture : 0.42, this : 0.41, study : 0.44, employs : 0.5, slr : 0.63, evaluate : 0.56, relevant : 0.46, research : 0.32, from : 0.51, 2019 : 0, 2024 : 0, was : 0.63, analyzed : 0.49, identify : 0.46, trends : 0.43, utilizing : 0.56, purpose : 0.42, results : 0.67, demonstrate : 0.54, that : 0.57, achieves : 0.57, superior : 0.49, 90 : 0, compared : 0.41, traditional : 0.6, methods : 0.42, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.41, knn : 0, however : 0, limitations : 0.63, include : 0.5, restricted : 0.43, dataset : 0.59, diversity : 0.55, insufficient : 0.59, testing : 0.48, under : 0, real : 0.57, world : 0.44, conditions : 0.53, recommendations : 0.49, emphasize : 0.56, need : 0, larger : 0.43, more : 0, diverse : 0.34, datasets : 0.65, integration : 0.48, additional : 0.62, media : 0.37, spectral : 0.52, data : 0.45, video : 0.44, enhance : 0.42, model : 0.44, robustness : 0.54 |
| 63. digitalisasi | 130 words | 0.69 | systematic : 0.35, literature : 0.52, review : 0.42, on : 0, the : 0.47, application : 0.54, of : 0, convolutional : 0.46, neural : 0.5, networks : 0.47, for : 0, rambutan : 0.43, fruit : 0.52, classification : 0.65, advances : 0.43, challenges : 0.45, and : 0.44, future : 0.42, directions : 0.66, nephelium : 0.3, lappaceum : 0.46, l : 0, is : 0.53, a : 0.69, tropical : 0.53, widely : 0.47, cultivated : 0.45, in : 0.53, southeast : 0.53, asia : 0.39, including : 0.43, indonesia : 0.49, manual : 0.47, types : 0.52, ripeness : 0.54, levels : 0.5, remains : 0.45, challenge : 0.36, due : 0.52, to : 0.53, high : 0.56, subjectivity : 0.39, time : 0.39, intensive : 0.47, nature : 0.33, process : 0.48, particularly : 0.54, large : 0.36, scale : 0.52, agricultural : 0.56, operations : 0.49, network : 0.41, cnn : 0, deep : 0.5, learning : 0.38, approach : 0.47, offers : 0.42, significant : 0.56, potential : 0.51, automating : 0.49, improving : 0.46, accuracy : 0.47, tasks : 0.62, by : 0, extracting : 0.35, complex : 0.41, visual : 0.58, features : 0.43, such : 0, as : 0.53, color : 0.43, texture : 0.41, this : 0.56, study : 0.36, employs : 0.48, slr : 0.47, evaluate : 0.44, relevant : 0.43, research : 0.4, from : 0, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.47, identify : 0.44, trends : 0.47, utilizing : 0.56, purpose : 0.41, results : 0.45, demonstrate : 0.5, that : 0.56, achieves : 0.43, superior : 0.4, 90 : 0, compared : 0.4, traditional : 0.57, methods : 0.45, like : 0.44, k : 0, nearest : 0.39, neighbor : 0.47, knn : 0, however : 0, limitations : 0.68, include : 0.39, restricted : 0.29, dataset : 0.6, diversity : 0.65, insufficient : 0.5, testing : 0.39, under : 0.43, real : 0.56, world : 0.36, conditions : 0.57, recommendations : 0.45, emphasize : 0.36, need : 0.44, larger : 0.33, more : 0, diverse : 0.65, datasets : 0.65, integration : 0.49, additional : 0.64, media : 0.62, spectral : 0.54, data : 0.6, video : 0.36, enhance : 0.41, model : 0.52, robustness : 0.41 |
| 64. melakukan | 130 words | 0.72 | systematic : 0.47, literature : 0.53, review : 0.43, on : 0, the : 0.48, application : 0.52, of : 0, convolutional : 0.5, neural : 0.62, networks : 0.49, for : 0, rambutan : 0.66, fruit : 0.44, classification : 0.58, advances : 0.41, challenges : 0.53, and : 0.48, future : 0.43, directions : 0.47, nephelium : 0.56, lappaceum : 0.55, l : 0.7, is : 0, a : 0.7, tropical : 0.41, widely : 0.52, cultivated : 0.38, in : 0, southeast : 0.31, asia : 0.45, including : 0.56, indonesia : 0.41, manual : 0.7, types : 0.44, ripeness : 0.41, levels : 0.35, remains : 0.59, challenge : 0.44, due : 0.48, to : 0, high : 0, subjectivity : 0.3, time : 0.57, intensive : 0.41, nature : 0.52, process : 0.42, particularly : 0.47, large : 0.48, scale : 0.53, agricultural : 0.47, operations : 0.54, network : 0.5, cnn : 0, deep : 0.45, learning : 0.56, approach : 0.49, offers : 0.43, significant : 0.47, potential : 0.48, automating : 0.59, improving : 0.48, accuracy : 0.57, tasks : 0.54, by : 0, extracting : 0.54, complex : 0.5, visual : 0.5, features : 0.57, such : 0, as : 0.54, color : 0.44, texture : 0.5, this : 0, study : 0.44, employs : 0.48, slr : 0.48, evaluate : 0.66, relevant : 0.65, research : 0.49, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.32, identify : 0.41, trends : 0.43, utilizing : 0.48, purpose : 0, results : 0.48, demonstrate : 0.44, that : 0.45, achieves : 0.32, superior : 0.41, 90 : 0, compared : 0.49, traditional : 0.42, methods : 0.6, like : 0.53, k : 0, nearest : 0.5, neighbor : 0.41, knn : 0, however : 0.42, limitations : 0.52, include : 0.5, restricted : 0.4, dataset : 0.42, diversity : 0.41, insufficient : 0.46, testing : 0.5, under : 0.44, real : 0.58, world : 0.44, conditions : 0.4, recommendations : 0.4, emphasize : 0.44, need : 0.45, larger : 0.44, more : 0.62, diverse : 0.42, datasets : 0.41, integration : 0.54, additional : 0.43, media : 0.72, spectral : 0.49, data : 0.45, video : 0.44, enhance : 0.5, model : 0.68, robustness : 0.47 |
| 65. peran | 130 words | 0.83 | systematic : 0.53, literature : 0.63, review : 0.41, on : 0, the : 0.51, application : 0.36, of : 0, convolutional : 0.43, neural : 0.7, networks : 0.55, for : 0.51, rambutan : 0.66, fruit : 0.47, classification : 0.42, advances : 0.55, challenges : 0.52, and : 0, future : 0.46, directions : 0.52, nephelium : 0.37, lappaceum : 0.37, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0.46, cultivated : 0.43, in : 0, southeast : 0.44, asia : 0.48, including : 0.44, indonesia : 0.44, manual : 0.58, types : 0, ripeness : 0.64, levels : 0.46, remains : 0.71, challenge : 0.54, due : 0.51, to : 0, high : 0, subjectivity : 0.43, time : 0, intensive : 0.37, nature : 0.41, process : 0.61, particularly : 0.55, large : 0.47, scale : 0.47, agricultural : 0.36, operations : 0.83, network : 0.45, cnn : 0, deep : 0.48, learning : 0.68, approach : 0.49, offers : 0.58, significant : 0.43, potential : 0.68, automating : 0.53, improving : 0.64, accuracy : 0.38, tasks : 0, by : 0, extracting : 0.73, complex : 0, visual : 0.46, features : 0.55, such : 0, as : 0, color : 0, texture : 0.45, this : 0, study : 0, employs : 0.4, slr : 0.51, evaluate : 0.55, relevant : 0.68, research : 0.55, from : 0.48, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.55, identify : 0.55, trends : 0.59, utilizing : 0.44, purpose : 0.61, results : 0.4, demonstrate : 0.53, that : 0.48, achieves : 0.38, superior : 0.66, 90 : 0, compared : 0.55, traditional : 0.62, methods : 0.45, like : 0, k : 0, nearest : 0.57, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.43, include : 0, restricted : 0.37, dataset : 0.45, diversity : 0.54, insufficient : 0.43, testing : 0.56, under : 0, real : 0.63, world : 0.47, conditions : 0.43, recommendations : 0.52, emphasize : 0.53, need : 0.48, larger : 0.41, more : 0.48, diverse : 0.56, datasets : 0.44, integration : 0.55, additional : 0.53, media : 0.6, spectral : 0.77, data : 0.48, video : 0, enhance : 0.68, model : 0, robustness : 0.53 |
| 66. perekonomian | 130 words | 0.72 | systematic : 0.49, literature : 0.52, review : 0.47, on : 0.72, the : 0.47, application : 0.49, of : 0.53, convolutional : 0.6, neural : 0.5, networks : 0.49, for : 0.44, rambutan : 0.43, fruit : 0.43, classification : 0.41, advances : 0.31, challenges : 0.41, and : 0.47, future : 0.33, directions : 0.47, nephelium : 0.52, lappaceum : 0.53, l : 0, is : 0, a : 0, tropical : 0.58, widely : 0.42, cultivated : 0.35, in : 0.53, southeast : 0.42, asia : 0, including : 0.53, indonesia : 0.59, manual : 0.42, types : 0.52, ripeness : 0.51, levels : 0.5, remains : 0.47, challenge : 0.42, due : 0.47, to : 0.53, high : 0, subjectivity : 0.44, time : 0.44, intensive : 0.47, nature : 0.33, process : 0.56, particularly : 0.6, large : 0.36, scale : 0.43, agricultural : 0.44, operations : 0.62, network : 0.51, cnn : 0.47, deep : 0.56, learning : 0.68, approach : 0.61, offers : 0.42, significant : 0.57, potential : 0.7, automating : 0.54, improving : 0.59, accuracy : 0.47, tasks : 0.43, by : 0, extracting : 0.49, complex : 0.39, visual : 0, features : 0.54, such : 0, as : 0, color : 0.51, texture : 0.56, this : 0, study : 0, employs : 0.45, slr : 0.47, evaluate : 0.43, relevant : 0.55, research : 0.43, from : 0.67, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.31, identify : 0.54, trends : 0.47, utilizing : 0.3, purpose : 0.56, results : 0.32, demonstrate : 0.52, that : 0, achieves : 0.47, superior : 0.61, 90 : 0, compared : 0.49, traditional : 0.52, methods : 0.48, like : 0.39, k : 0.69, nearest : 0.56, neighbor : 0.43, knn : 0.61, however : 0.51, limitations : 0.4, include : 0.32, restricted : 0.41, dataset : 0.41, diversity : 0.53, insufficient : 0.5, testing : 0.45, under : 0.45, real : 0.39, world : 0.36, conditions : 0.57, recommendations : 0.7, emphasize : 0.43, need : 0.56, larger : 0.33, more : 0.56, diverse : 0.56, datasets : 0.4, integration : 0.62, additional : 0.45, media : 0.43, spectral : 0.61, data : 0, video : 0.52, enhance : 0.45, model : 0.36, robustness : 0.45 |
| 67. mobilitas | 130 words | 0.76 | systematic : 0.38, literature : 0.53, review : 0.43, on : 0.54, the : 0, application : 0.54, of : 0.54, convolutional : 0.55, neural : 0.35, networks : 0.49, for : 0.48, rambutan : 0.65, fruit : 0.54, classification : 0.53, advances : 0.41, challenges : 0.47, and : 0, future : 0, directions : 0.53, nephelium : 0.31, lappaceum : 0.41, l : 0, is : 0.54, a : 0, tropical : 0.56, widely : 0.52, cultivated : 0.49, in : 0.54, southeast : 0.63, asia : 0.45, including : 0.56, indonesia : 0.54, manual : 0.55, types : 0, ripeness : 0.49, levels : 0.52, remains : 0.59, challenge : 0.41, due : 0, to : 0.54, high : 0.45, subjectivity : 0.51, time : 0.41, intensive : 0.44, nature : 0, process : 0.5, particularly : 0.47, large : 0, scale : 0.44, agricultural : 0.59, operations : 0.62, network : 0.42, cnn : 0, deep : 0, learning : 0.41, approach : 0.49, offers : 0.52, significant : 0.52, potential : 0.55, automating : 0.55, improving : 0.5, accuracy : 0.41, tasks : 0, by : 0.54, extracting : 0.38, complex : 0.48, visual : 0.5, features : 0.49, such : 0, as : 0, color : 0.54, texture : 0.42, this : 0.45, study : 0, employs : 0.59, slr : 0.48, evaluate : 0.46, relevant : 0.46, research : 0.41, from : 0.41, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.46, trends : 0.43, utilizing : 0.56, purpose : 0.5, results : 0.59, demonstrate : 0.57, that : 0.45, achieves : 0.49, superior : 0.41, 90 : 0, compared : 0.46, traditional : 0.52, methods : 0.63, like : 0.45, k : 0, nearest : 0.34, neighbor : 0.32, knn : 0, however : 0.42, limitations : 0.76, include : 0.5, restricted : 0.31, dataset : 0.42, diversity : 0.5, insufficient : 0.53, testing : 0.34, under : 0, real : 0.45, world : 0.54, conditions : 0.62, recommendations : 0.58, emphasize : 0.5, need : 0, larger : 0, more : 0.66, diverse : 0.5, datasets : 0.49, integration : 0.48, additional : 0.53, media : 0.68, spectral : 0.4, data : 0, video : 0.37, enhance : 0, model : 0.72, robustness : 0.53 |
| 68. manusia | 130 words | 0.91 | systematic : 0.47, literature : 0.41, review : 0.44, on : 0.55, the : 0, application : 0.57, of : 0, convolutional : 0.63, neural : 0.64, networks : 0.51, for : 0, rambutan : 0.61, fruit : 0.56, classification : 0.62, advances : 0.57, challenges : 0.5, and : 0.65, future : 0.44, directions : 0.41, nephelium : 0.5, lappaceum : 0.5, l : 0, is : 0, a : 0.71, tropical : 0.51, widely : 0, cultivated : 0.58, in : 0.55, southeast : 0.48, asia : 0.46, including : 0.59, indonesia : 0.67, manual : 0.91, types : 0.45, ripeness : 0.51, levels : 0.44, remains : 0.63, challenge : 0.42, due : 0.49, to : 0, high : 0, subjectivity : 0.45, time : 0.46, intensive : 0.59, nature : 0.53, process : 0.43, particularly : 0.55, large : 0.45, scale : 0.45, agricultural : 0.55, operations : 0.5, network : 0.43, cnn : 0.49, deep : 0, learning : 0.6, approach : 0.51, offers : 0.44, significant : 0.52, potential : 0.59, automating : 0.57, improving : 0.5, accuracy : 0.6, tasks : 0.56, by : 0, extracting : 0.5, complex : 0.43, visual : 0.53, features : 0.6, such : 0.46, as : 0.55, color : 0, texture : 0.43, this : 0.46, study : 0.45, employs : 0.52, slr : 0, evaluate : 0.6, relevant : 0.42, research : 0.35, from : 0, 2019 : 0, 2024 : 0, was : 0.65, analyzed : 0.51, identify : 0.51, trends : 0.54, utilizing : 0.5, purpose : 0.52, results : 0.36, demonstrate : 0.65, that : 0.46, achieves : 0.49, superior : 0.51, 90 : 0, compared : 0.51, traditional : 0.57, methods : 0.57, like : 0, k : 0, nearest : 0.51, neighbor : 0.51, knn : 0.49, however : 0, limitations : 0.4, include : 0.52, restricted : 0.5, dataset : 0.52, diversity : 0.5, insufficient : 0.51, testing : 0.52, under : 0.45, real : 0.46, world : 0, conditions : 0.5, recommendations : 0.53, emphasize : 0.67, need : 0.46, larger : 0.44, more : 0.52, diverse : 0.43, datasets : 0.49, integration : 0.46, additional : 0.58, media : 0.71, spectral : 0.42, data : 0.46, video : 0, enhance : 0.36, model : 0.5, robustness : 0.41 |
| 69. aspek | 130 words | 0.84 | systematic : 0.53, literature : 0.43, review : 0.46, on : 0, the : 0.51, application : 0.57, of : 0, convolutional : 0, neural : 0.46, networks : 0.55, for : 0, rambutan : 0.44, fruit : 0, classification : 0.51, advances : 0.6, challenges : 0.53, and : 0.56, future : 0.46, directions : 0.43, nephelium : 0.37, lappaceum : 0.64, l : 0, is : 0.57, a : 0.76, tropical : 0.44, widely : 0.46, cultivated : 0, in : 0, southeast : 0.54, asia : 0.71, including : 0, indonesia : 0.44, manual : 0.46, types : 0.6, ripeness : 0.55, levels : 0.46, remains : 0.45, challenge : 0.54, due : 0.51, to : 0, high : 0, subjectivity : 0.52, time : 0.48, intensive : 0.44, nature : 0.58, process : 0.56, particularly : 0.36, large : 0.6, scale : 0.6, agricultural : 0.49, operations : 0.47, network : 0.56, cnn : 0, deep : 0.47, learning : 0.38, approach : 0.6, offers : 0.46, significant : 0.43, potential : 0.54, automating : 0.49, improving : 0.44, accuracy : 0.5, tasks : 0.73, by : 0, extracting : 0.37, complex : 0.56, visual : 0.46, features : 0.38, such : 0.48, as : 0.84, color : 0, texture : 0.45, this : 0, study : 0.47, employs : 0.45, slr : 0.51, evaluate : 0.38, relevant : 0.44, research : 0.38, from : 0, 2019 : 0, 2024 : 0, was : 0.69, analyzed : 0.6, identify : 0.44, trends : 0.46, utilizing : 0, purpose : 0.45, results : 0.4, demonstrate : 0.36, that : 0, achieves : 0.6, superior : 0.66, 90 : 0, compared : 0.55, traditional : 0.43, methods : 0.45, like : 0.48, k : 0, nearest : 0.4, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0, include : 0, restricted : 0.37, dataset : 0.56, diversity : 0.44, insufficient : 0.43, testing : 0.4, under : 0.47, real : 0, world : 0, conditions : 0, recommendations : 0.42, emphasize : 0.37, need : 0.48, larger : 0.58, more : 0.48, diverse : 0.45, datasets : 0.66, integration : 0.43, additional : 0.49, media : 0, spectral : 0.66, data : 0.48, video : 0.47, enhance : 0, model : 0.47, robustness : 0.53 |
| 70. produsen | 130 words | 0.81 | systematic : 0.48, literature : 0.39, review : 0.53, on : 0.54, the : 0, application : 0.48, of : 0.54, convolutional : 0.42, neural : 0.36, networks : 0.5, for : 0.47, rambutan : 0.58, fruit : 0.55, classification : 0.46, advances : 0.58, challenges : 0.39, and : 0.49, future : 0.51, directions : 0.54, nephelium : 0.46, lappaceum : 0.46, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0.53, cultivated : 0.48, in : 0, southeast : 0.56, asia : 0, including : 0.46, indonesia : 0.59, manual : 0.43, types : 0.55, ripeness : 0.58, levels : 0.36, remains : 0.49, challenge : 0.49, due : 0.64, to : 0.54, high : 0, subjectivity : 0.43, time : 0.46, intensive : 0.4, nature : 0.51, process : 0.8, particularly : 0.59, large : 0.55, scale : 0.44, agricultural : 0.47, operations : 0.62, network : 0.42, cnn : 0, deep : 0.42, learning : 0.5, approach : 0.58, offers : 0.56, significant : 0.41, potential : 0.68, automating : 0.45, improving : 0.65, accuracy : 0.33, tasks : 0.44, by : 0, extracting : 0.48, complex : 0.49, visual : 0.36, features : 0.47, such : 0.46, as : 0, color : 0.38, texture : 0.51, this : 0.46, study : 0.38, employs : 0.6, slr : 0.49, evaluate : 0.5, relevant : 0.58, research : 0.58, from : 0.58, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.42, identify : 0.42, trends : 0.63, utilizing : 0.41, purpose : 0.81, results : 0.49, demonstrate : 0.53, that : 0, achieves : 0.33, superior : 0.5, 90 : 0, compared : 0.47, traditional : 0.55, methods : 0.6, like : 0.46, k : 0, nearest : 0.49, neighbor : 0, knn : 0, however : 0.51, limitations : 0.41, include : 0.49, restricted : 0.56, dataset : 0.6, diversity : 0.48, insufficient : 0.53, testing : 0.51, under : 0.49, real : 0.46, world : 0.55, conditions : 0.55, recommendations : 0.52, emphasize : 0.57, need : 0.46, larger : 0.53, more : 0.6, diverse : 0.52, datasets : 0.58, integration : 0.44, additional : 0.45, media : 0.44, spectral : 0.42, data : 0.46, video : 0.49, enhance : 0.35, model : 0.66, robustness : 0.73 |
| 71. menyediakan | 130 words | 0.85 | systematic : 0.42, literature : 0.46, review : 0.48, on : 0.53, the : 0.47, application : 0.52, of : 0, convolutional : 0.47, neural : 0.48, networks : 0.44, for : 0, rambutan : 0.55, fruit : 0.43, classification : 0.47, advances : 0.45, challenges : 0.52, and : 0.62, future : 0.42, directions : 0.52, nephelium : 0.52, lappaceum : 0.3, l : 0, is : 0, a : 0, tropical : 0.48, widely : 0.42, cultivated : 0.42, in : 0.53, southeast : 0.47, asia : 0.56, including : 0.6, indonesia : 0.57, manual : 0.63, types : 0.36, ripeness : 0.55, levels : 0.51, remains : 0.59, challenge : 0.54, due : 0.47, to : 0, high : 0, subjectivity : 0.45, time : 0.56, intensive : 0.44, nature : 0.34, process : 0.41, particularly : 0.45, large : 0.43, scale : 0.43, agricultural : 0.45, operations : 0.5, network : 0.46, cnn : 0.47, deep : 0.56, learning : 0.62, approach : 0.41, offers : 0.42, significant : 0.58, potential : 0.6, automating : 0.5, improving : 0.54, accuracy : 0.31, tasks : 0, by : 0.53, extracting : 0.5, complex : 0.49, visual : 0.42, features : 0.48, such : 0, as : 0, color : 0, texture : 0.49, this : 0.45, study : 0.36, employs : 0.46, slr : 0, evaluate : 0.44, relevant : 0.5, research : 0.55, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.62, identify : 0.53, trends : 0.59, utilizing : 0.47, purpose : 0.41, results : 0.41, demonstrate : 0.49, that : 0, achieves : 0.44, superior : 0.48, 90 : 0, compared : 0.5, traditional : 0.49, methods : 0.65, like : 0.45, k : 0, nearest : 0.46, neighbor : 0.44, knn : 0.47, however : 0.49, limitations : 0.58, include : 0.46, restricted : 0.46, dataset : 0.32, diversity : 0.47, insufficient : 0.48, testing : 0.46, under : 0.46, real : 0.45, world : 0.43, conditions : 0.59, recommendations : 0.63, emphasize : 0.54, need : 0.7, larger : 0.42, more : 0.6, diverse : 0.49, datasets : 0.31, integration : 0.5, additional : 0.5, media : 0.85, spectral : 0.48, data : 0.45, video : 0.36, enhance : 0.56, model : 0.56, robustness : 0.46 |
| 72. barang | 130 words | 0.75 | systematic : 0.42, literature : 0.34, review : 0.44, on : 0, the : 0, application : 0.51, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.43, for : 0.5, rambutan : 0.75, fruit : 0.46, classification : 0.49, advances : 0.63, challenges : 0.6, and : 0.5, future : 0.44, directions : 0.51, nephelium : 0, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.53, widely : 0, cultivated : 0.42, in : 0, southeast : 0.43, asia : 0.61, including : 0.52, indonesia : 0.43, manual : 0.56, types : 0, ripeness : 0.53, levels : 0, remains : 0.53, challenge : 0.61, due : 0, to : 0, high : 0, subjectivity : 0.42, time : 0, intensive : 0.43, nature : 0.56, process : 0.44, particularly : 0.58, large : 0.7, scale : 0.46, agricultural : 0.47, operations : 0.49, network : 0, cnn : 0.5, deep : 0, learning : 0.72, approach : 0.63, offers : 0.44, significant : 0.34, potential : 0.43, automating : 0.69, improving : 0.61, accuracy : 0.63, tasks : 0.46, by : 0.6, extracting : 0.61, complex : 0, visual : 0.44, features : 0.53, such : 0, as : 0.56, color : 0.46, texture : 0, this : 0, study : 0, employs : 0, slr : 0.5, evaluate : 0.53, relevant : 0.63, research : 0.36, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.51, identify : 0.43, trends : 0.56, utilizing : 0.52, purpose : 0.44, results : 0.44, demonstrate : 0.42, that : 0.47, achieves : 0.43, superior : 0.43, 90 : 0, compared : 0.53, traditional : 0.48, methods : 0, like : 0, k : 0, nearest : 0.54, neighbor : 0.43, knn : 0.5, however : 0, limitations : 0.42, include : 0, restricted : 0.42, dataset : 0.54, diversity : 0.43, insufficient : 0.42, testing : 0.54, under : 0.46, real : 0.44, world : 0.46, conditions : 0.42, recommendations : 0.46, emphasize : 0.43, need : 0, larger : 0.67, more : 0.47, diverse : 0.44, datasets : 0.53, integration : 0.51, additional : 0.51, media : 0.46, spectral : 0.53, data : 0.61, video : 0, enhance : 0.54, model : 0, robustness : 0.49 |
| 73. jasa | 130 words | 0.83 | systematic : 0.57, literature : 0.45, review : 0, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0, neural : 0.47, networks : 0, for : 0, rambutan : 0.58, fruit : 0, classification : 0.65, advances : 0.58, challenges : 0.45, and : 0.53, future : 0, directions : 0, nephelium : 0, lappaceum : 0.57, l : 0, is : 0.58, a : 0.75, tropical : 0.46, widely : 0, cultivated : 0.45, in : 0, southeast : 0.57, asia : 0.83, including : 0, indonesia : 0, manual : 0.61, types : 0, ripeness : 0, levels : 0, remains : 0.46, challenge : 0.45, due : 0, to : 0, high : 0, subjectivity : 0.39, time : 0, intensive : 0.45, nature : 0.47, process : 0, particularly : 0.56, large : 0.48, scale : 0.48, agricultural : 0.44, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0.46, approach : 0.58, offers : 0, significant : 0.45, potential : 0, automating : 0.57, improving : 0, accuracy : 0.58, tasks : 0.63, by : 0, extracting : 0.45, complex : 0, visual : 0.61, features : 0.46, such : 0, as : 0.83, color : 0, texture : 0, this : 0.5, study : 0, employs : 0, slr : 0, evaluate : 0.58, relevant : 0.46, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.72, analyzed : 0.58, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0.46, demonstrate : 0.45, that : 0.5, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0, like : 0, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0, limitations : 0.45, include : 0, restricted : 0.45, dataset : 0.62, diversity : 0.45, insufficient : 0.44, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0, recommendations : 0.44, emphasize : 0.57, need : 0, larger : 0.47, more : 0, diverse : 0, datasets : 0.6, integration : 0.45, additional : 0.45, media : 0.48, spectral : 0.58, data : 0.67, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 74. konsumen | 130 words | 0.75 | systematic : 0.45, literature : 0.32, review : 0.43, on : 0.75, the : 0, application : 0.41, of : 0.54, convolutional : 0.6, neural : 0.53, networks : 0.33, for : 0.49, rambutan : 0.47, fruit : 0.44, classification : 0.46, advances : 0.5, challenges : 0.32, and : 0.49, future : 0.53, directions : 0.48, nephelium : 0.52, lappaceum : 0.4, l : 0, is : 0.54, a : 0, tropical : 0.42, widely : 0.43, cultivated : 0.48, in : 0.54, southeast : 0.56, asia : 0.46, including : 0.57, indonesia : 0.59, manual : 0.53, types : 0.38, ripeness : 0.42, levels : 0.36, remains : 0.43, challenge : 0.49, due : 0.49, to : 0.54, high : 0, subjectivity : 0.54, time : 0.58, intensive : 0.52, nature : 0.63, process : 0.49, particularly : 0.4, large : 0.44, scale : 0.55, agricultural : 0.4, operations : 0.56, network : 0.35, cnn : 0.49, deep : 0, learning : 0.5, approach : 0.42, offers : 0.51, significant : 0.44, potential : 0.46, automating : 0.55, improving : 0.49, accuracy : 0.42, tasks : 0.38, by : 0, extracting : 0.41, complex : 0.6, visual : 0.53, features : 0.5, such : 0.58, as : 0.54, color : 0.44, texture : 0.51, this : 0.46, study : 0.55, employs : 0.51, slr : 0.49, evaluate : 0.5, relevant : 0.5, research : 0.5, from : 0.58, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.42, trends : 0.53, utilizing : 0.41, purpose : 0.57, results : 0.51, demonstrate : 0.56, that : 0, achieves : 0.42, superior : 0.58, 90 : 0, compared : 0.58, traditional : 0.41, methods : 0.51, like : 0.58, k : 0.74, nearest : 0.49, neighbor : 0.42, knn : 0.67, however : 0.51, limitations : 0.48, include : 0.6, restricted : 0.48, dataset : 0.51, diversity : 0.32, insufficient : 0.68, testing : 0.35, under : 0.55, real : 0, world : 0.44, conditions : 0.56, recommendations : 0.55, emphasize : 0.49, need : 0.46, larger : 0.43, more : 0.58, diverse : 0.35, datasets : 0.5, integration : 0.55, additional : 0.41, media : 0, spectral : 0.42, data : 0, video : 0.38, enhance : 0.49, model : 0.55, robustness : 0.64 |
| 75. ada | 130 words | 0.83 | systematic : 0.48, literature : 0.48, review : 0, on : 0, the : 0, application : 0.65, of : 0, convolutional : 0, neural : 0.5, networks : 0, for : 0, rambutan : 0.49, fruit : 0, classification : 0.47, advances : 0.83, challenges : 0.48, and : 0.6, future : 0, directions : 0.48, nephelium : 0, lappaceum : 0.63, l : 0, is : 0, a : 0.8, tropical : 0, widely : 0.5, cultivated : 0.48, in : 0, southeast : 0, asia : 0.75, including : 0, indonesia : 0.48, manual : 0.67, types : 0, ripeness : 0, levels : 0, remains : 0.49, challenge : 0.48, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.5, process : 0, particularly : 0.47, large : 0.51, scale : 0.51, agricultural : 0.52, operations : 0.48, network : 0, cnn : 0, deep : 0.53, learning : 0.49, approach : 0.67, offers : 0, significant : 0, potential : 0, automating : 0.66, improving : 0, accuracy : 0.67, tasks : 0.51, by : 0, extracting : 0.48, complex : 0, visual : 0.5, features : 0.49, such : 0, as : 0.65, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0.64, relevant : 0.49, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.67, identify : 0.49, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.47, that : 0.53, achieves : 0.54, superior : 0, 90 : 0, compared : 0.49, traditional : 0.62, methods : 0, like : 0, k : 0, nearest : 0.49, neighbor : 0, knn : 0, however : 0, limitations : 0.47, include : 0, restricted : 0, dataset : 0.7, diversity : 0.48, insufficient : 0, testing : 0, under : 0.51, real : 0.53, world : 0, conditions : 0.48, recommendations : 0, emphasize : 0.48, need : 0, larger : 0.5, more : 0, diverse : 0.49, datasets : 0.68, integration : 0.47, additional : 0.7, media : 0.51, spectral : 0, data : 0.81, video : 0.51, enhance : 0.49, model : 0.51, robustness : 0 |
| 76. batasan | 130 words | 0.73 | systematic : 0.41, literature : 0.33, review : 0, on : 0, the : 0.49, application : 0.57, of : 0, convolutional : 0.31, neural : 0.44, networks : 0.51, for : 0, rambutan : 0.71, fruit : 0.45, classification : 0.44, advances : 0.61, challenges : 0.5, and : 0.49, future : 0.44, directions : 0.5, nephelium : 0, lappaceum : 0.5, l : 0, is : 0, a : 0.71, tropical : 0.51, widely : 0, cultivated : 0.5, in : 0, southeast : 0.59, asia : 0.6, including : 0.42, indonesia : 0.42, manual : 0.54, types : 0.56, ripeness : 0.35, levels : 0.44, remains : 0.51, challenge : 0.5, due : 0, to : 0.55, high : 0, subjectivity : 0.39, time : 0.46, intensive : 0.48, nature : 0.54, process : 0.43, particularly : 0.56, large : 0.45, scale : 0.45, agricultural : 0.56, operations : 0.58, network : 0.43, cnn : 0, deep : 0, learning : 0.51, approach : 0.51, offers : 0.44, significant : 0.46, potential : 0.48, automating : 0.66, improving : 0.42, accuracy : 0.51, tasks : 0.57, by : 0.59, extracting : 0.47, complex : 0, visual : 0.37, features : 0.6, such : 0, as : 0.55, color : 0, texture : 0.43, this : 0.6, study : 0.45, employs : 0.43, slr : 0, evaluate : 0.51, relevant : 0.51, research : 0.35, from : 0, 2019 : 0, 2024 : 0, was : 0.65, analyzed : 0.51, identify : 0.35, trends : 0.54, utilizing : 0.5, purpose : 0.43, results : 0.43, demonstrate : 0.52, that : 0.43, achieves : 0.51, superior : 0, 90 : 0, compared : 0.42, traditional : 0.48, methods : 0.52, like : 0, k : 0, nearest : 0.52, neighbor : 0, knn : 0, however : 0, limitations : 0.46, include : 0, restricted : 0.33, dataset : 0.71, diversity : 0.42, insufficient : 0.32, testing : 0.62, under : 0, real : 0.46, world : 0, conditions : 0.33, recommendations : 0.31, emphasize : 0.5, need : 0, larger : 0.44, more : 0, diverse : 0.43, datasets : 0.69, integration : 0.57, additional : 0.57, media : 0.45, spectral : 0.51, data : 0.73, video : 0, enhance : 0.52, model : 0, robustness : 0.57 |
| 77. apapun | 130 words | 0.75 | systematic : 0.42, literature : 0.51, review : 0, on : 0, the : 0, application : 0.67, of : 0, convolutional : 0.33, neural : 0.39, networks : 0, for : 0, rambutan : 0.63, fruit : 0.46, classification : 0.41, advances : 0.66, challenges : 0.51, and : 0.55, future : 0.44, directions : 0.42, nephelium : 0.52, lappaceum : 0.73, l : 0, is : 0, a : 0.75, tropical : 0.43, widely : 0, cultivated : 0.34, in : 0, southeast : 0.43, asia : 0.65, including : 0.52, indonesia : 0.43, manual : 0.56, types : 0.46, ripeness : 0.53, levels : 0, remains : 0.54, challenge : 0.52, due : 0, to : 0, high : 0, subjectivity : 0.42, time : 0, intensive : 0.43, nature : 0.56, process : 0.44, particularly : 0.47, large : 0.46, scale : 0.46, agricultural : 0.55, operations : 0.49, network : 0, cnn : 0, deep : 0.47, learning : 0.53, approach : 0.71, offers : 0, significant : 0.42, potential : 0.52, automating : 0.65, improving : 0.52, accuracy : 0.56, tasks : 0.46, by : 0, extracting : 0.51, complex : 0.44, visual : 0.39, features : 0.53, such : 0, as : 0.6, color : 0, texture : 0.44, this : 0, study : 0.46, employs : 0.44, slr : 0, evaluate : 0.51, relevant : 0.53, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.58, identify : 0.43, trends : 0.44, utilizing : 0.43, purpose : 0.54, results : 0.44, demonstrate : 0.42, that : 0.47, achieves : 0.49, superior : 0.36, 90 : 0, compared : 0.53, traditional : 0.51, methods : 0, like : 0, k : 0, nearest : 0.44, neighbor : 0, knn : 0, however : 0, limitations : 0.51, include : 0.44, restricted : 0, dataset : 0.54, diversity : 0, insufficient : 0.33, testing : 0.44, under : 0, real : 0.47, world : 0, conditions : 0.42, recommendations : 0.41, emphasize : 0.52, need : 0, larger : 0.44, more : 0, diverse : 0, datasets : 0.53, integration : 0.34, additional : 0.56, media : 0.46, spectral : 0.43, data : 0.61, video : 0, enhance : 0.54, model : 0, robustness : 0.51 |
| 78. memastikan | 130 words | 0.74 | systematic : 0.59, literature : 0.37, review : 0.51, on : 0, the : 0.48, application : 0.55, of : 0, convolutional : 0.49, neural : 0.51, networks : 0.51, for : 0, rambutan : 0.64, fruit : 0.37, classification : 0.59, advances : 0.48, challenges : 0.42, and : 0.48, future : 0.34, directions : 0.6, nephelium : 0.47, lappaceum : 0.47, l : 0, is : 0.53, a : 0.7, tropical : 0.32, widely : 0.42, cultivated : 0.37, in : 0, southeast : 0.45, asia : 0.68, including : 0.47, indonesia : 0.61, manual : 0.64, types : 0.53, ripeness : 0.48, levels : 0.51, remains : 0.68, challenge : 0.43, due : 0.48, to : 0, high : 0, subjectivity : 0.49, time : 0.57, intensive : 0.49, nature : 0.43, process : 0.5, particularly : 0.58, large : 0.37, scale : 0.52, agricultural : 0.49, operations : 0.67, network : 0.58, cnn : 0, deep : 0.45, learning : 0.63, approach : 0.48, offers : 0.51, significant : 0.59, potential : 0.45, automating : 0.59, improving : 0.54, accuracy : 0.48, tasks : 0.63, by : 0, extracting : 0.6, complex : 0.5, visual : 0.34, features : 0.55, such : 0.45, as : 0.73, color : 0, texture : 0.5, this : 0.4, study : 0.53, employs : 0.47, slr : 0.48, evaluate : 0.55, relevant : 0.55, research : 0.45, from : 0.45, 2019 : 0, 2024 : 0, was : 0.62, analyzed : 0.41, identify : 0.56, trends : 0.51, utilizing : 0.54, purpose : 0.41, results : 0.58, demonstrate : 0.58, that : 0.57, achieves : 0.47, superior : 0.45, 90 : 0, compared : 0.48, traditional : 0.52, methods : 0.66, like : 0.45, k : 0, nearest : 0.66, neighbor : 0.48, knn : 0, however : 0.41, limitations : 0.58, include : 0, restricted : 0.6, dataset : 0.53, diversity : 0.53, insufficient : 0.52, testing : 0.74, under : 0.43, real : 0.57, world : 0, conditions : 0.42, recommendations : 0.58, emphasize : 0.62, need : 0.45, larger : 0.34, more : 0.61, diverse : 0.5, datasets : 0.51, integration : 0.55, additional : 0.53, media : 0.72, spectral : 0.47, data : 0.57, video : 0.43, enhance : 0.5, model : 0.58, robustness : 0.53 |
| 79. keamanan | 130 words | 0.74 | systematic : 0.45, literature : 0.48, review : 0.43, on : 0, the : 0.49, application : 0.55, of : 0, convolutional : 0.42, neural : 0.53, networks : 0.42, for : 0, rambutan : 0.67, fruit : 0, classification : 0.53, advances : 0.58, challenges : 0.45, and : 0.49, future : 0, directions : 0.48, nephelium : 0.41, lappaceum : 0.49, l : 0, is : 0, a : 0.71, tropical : 0.42, widely : 0.43, cultivated : 0.41, in : 0, southeast : 0.41, asia : 0.58, including : 0.41, indonesia : 0.49, manual : 0.56, types : 0.44, ripeness : 0.5, levels : 0.43, remains : 0.61, challenge : 0.49, due : 0.49, to : 0, high : 0, subjectivity : 0.4, time : 0.42, intensive : 0.49, nature : 0.43, process : 0.42, particularly : 0.47, large : 0.38, scale : 0.38, agricultural : 0.47, operations : 0.56, network : 0.42, cnn : 0.49, deep : 0.46, learning : 0.67, approach : 0.5, offers : 0.43, significant : 0.44, potential : 0.46, automating : 0.63, improving : 0.49, accuracy : 0.5, tasks : 0.38, by : 0, extracting : 0.56, complex : 0.42, visual : 0.43, features : 0.5, such : 0, as : 0.54, color : 0, texture : 0.42, this : 0, study : 0, employs : 0.51, slr : 0, evaluate : 0.58, relevant : 0.58, research : 0.5, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.5, trends : 0.53, utilizing : 0.41, purpose : 0, results : 0.42, demonstrate : 0.54, that : 0.46, achieves : 0.33, superior : 0.42, 90 : 0, compared : 0.33, traditional : 0.55, methods : 0.35, like : 0.58, k : 0.74, nearest : 0.51, neighbor : 0.42, knn : 0.67, however : 0.42, limitations : 0.44, include : 0, restricted : 0.41, dataset : 0.51, diversity : 0.41, insufficient : 0.47, testing : 0.51, under : 0.44, real : 0.58, world : 0, conditions : 0.48, recommendations : 0.59, emphasize : 0.46, need : 0.46, larger : 0.36, more : 0.42, diverse : 0.42, datasets : 0.5, integration : 0.5, additional : 0.45, media : 0.49, spectral : 0.5, data : 0.58, video : 0.44, enhance : 0.6, model : 0.38, robustness : 0.41 |
| 80. perodusen | 130 words | 0.78 | systematic : 0.31, literature : 0.61, review : 0.5, on : 0.54, the : 0.48, application : 0.47, of : 0.54, convolutional : 0.52, neural : 0.5, networks : 0.56, for : 0.46, rambutan : 0.57, fruit : 0.54, classification : 0.46, advances : 0.46, challenges : 0.53, and : 0.48, future : 0.5, directions : 0.62, nephelium : 0.46, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.4, widely : 0.35, cultivated : 0.47, in : 0, southeast : 0.55, asia : 0, including : 0.44, indonesia : 0.46, manual : 0.43, types : 0.64, ripeness : 0.56, levels : 0.52, remains : 0.51, challenge : 0.48, due : 0.48, to : 0.54, high : 0, subjectivity : 0.3, time : 0.45, intensive : 0.56, nature : 0.5, process : 0.69, particularly : 0.58, large : 0.37, scale : 0.44, agricultural : 0.46, operations : 0.59, network : 0.48, cnn : 0, deep : 0.41, learning : 0.57, approach : 0.57, offers : 0.58, significant : 0.4, potential : 0.5, automating : 0.43, improving : 0.63, accuracy : 0.32, tasks : 0.44, by : 0, extracting : 0.54, complex : 0.48, visual : 0.43, features : 0.59, such : 0, as : 0, color : 0.37, texture : 0.59, this : 0.45, study : 0.37, employs : 0.59, slr : 0.48, evaluate : 0.57, relevant : 0.46, research : 0.32, from : 0.57, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.32, identify : 0.32, trends : 0.62, utilizing : 0.41, purpose : 0.78, results : 0.59, demonstrate : 0.57, that : 0, achieves : 0.46, superior : 0.65, 90 : 0, compared : 0.56, traditional : 0.52, methods : 0.67, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.49, knn : 0, however : 0.48, limitations : 0.3, include : 0.48, restricted : 0.53, dataset : 0.5, diversity : 0.56, insufficient : 0.51, testing : 0.5, under : 0.48, real : 0.41, world : 0.53, conditions : 0.53, recommendations : 0.55, emphasize : 0.55, need : 0.57, larger : 0.35, more : 0.58, diverse : 0.67, datasets : 0.49, integration : 0.54, additional : 0.43, media : 0.54, spectral : 0.57, data : 0, video : 0.48, enhance : 0.5, model : 0.48, robustness : 0.7 |
| 81. berdasarkan | 130 words | 0.73 | systematic : 0.36, literature : 0.59, review : 0.34, on : 0, the : 0.47, application : 0.52, of : 0, convolutional : 0.28, neural : 0.59, networks : 0.54, for : 0.47, rambutan : 0.59, fruit : 0.43, classification : 0.55, advances : 0.45, challenges : 0.42, and : 0.45, future : 0.34, directions : 0.52, nephelium : 0.4, lappaceum : 0.47, l : 0, is : 0.53, a : 0.7, tropical : 0.48, widely : 0.34, cultivated : 0.4, in : 0, southeast : 0.54, asia : 0.67, including : 0.47, indonesia : 0.44, manual : 0.51, types : 0.53, ripeness : 0.44, levels : 0.51, remains : 0.56, challenge : 0.42, due : 0.45, to : 0, high : 0, subjectivity : 0.34, time : 0.45, intensive : 0.47, nature : 0.48, process : 0.46, particularly : 0.48, large : 0.51, scale : 0.36, agricultural : 0.4, operations : 0.58, network : 0.57, cnn : 0, deep : 0.39, learning : 0.54, approach : 0.44, offers : 0.59, significant : 0.45, potential : 0.47, automating : 0.52, improving : 0.47, accuracy : 0.44, tasks : 0.53, by : 0.58, extracting : 0.59, complex : 0.41, visual : 0.34, features : 0.54, such : 0, as : 0.73, color : 0.43, texture : 0.49, this : 0.45, study : 0.43, employs : 0.49, slr : 0.47, evaluate : 0.55, relevant : 0.54, research : 0.56, from : 0.45, 2019 : 0, 2024 : 0, was : 0.62, analyzed : 0.44, identify : 0.31, trends : 0.59, utilizing : 0.4, purpose : 0.49, results : 0.46, demonstrate : 0.47, that : 0.45, achieves : 0.44, superior : 0.55, 90 : 0, compared : 0.38, traditional : 0.5, methods : 0.57, like : 0.45, k : 0, nearest : 0.56, neighbor : 0.48, knn : 0, however : 0.49, limitations : 0.45, include : 0.41, restricted : 0.5, dataset : 0.62, diversity : 0.48, insufficient : 0.45, testing : 0.49, under : 0.46, real : 0.56, world : 0.53, conditions : 0.41, recommendations : 0.43, emphasize : 0.54, need : 0.56, larger : 0.59, more : 0.39, diverse : 0.52, datasets : 0.59, integration : 0.58, additional : 0.42, media : 0.62, spectral : 0.55, data : 0.67, video : 0.36, enhance : 0.49, model : 0.36, robustness : 0.5 |
| 82. media | 130 words | 1 | systematic : 0.53, literature : 0.52, review : 0.58, on : 0, the : 0.51, application : 0.36, of : 0, convolutional : 0.43, neural : 0.58, networks : 0.44, for : 0, rambutan : 0.38, fruit : 0.47, classification : 0.35, advances : 0.55, challenges : 0.37, and : 0.51, future : 0, directions : 0.47, nephelium : 0.54, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0.59, cultivated : 0.53, in : 0, southeast : 0.44, asia : 0.63, including : 0.37, indonesia : 0.37, manual : 0.62, types : 0, ripeness : 0.38, levels : 0.46, remains : 0.62, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.52, time : 0, intensive : 0.37, nature : 0, process : 0, particularly : 0.36, large : 0, scale : 0, agricultural : 0.36, operations : 0.52, network : 0.45, cnn : 0, deep : 0.48, learning : 0.55, approach : 0.44, offers : 0.46, significant : 0.53, potential : 0.64, automating : 0.47, improving : 0.37, accuracy : 0.44, tasks : 0, by : 0, extracting : 0.52, complex : 0.45, visual : 0.58, features : 0.55, such : 0, as : 0, color : 0, texture : 0.45, this : 0.48, study : 0.47, employs : 0.4, slr : 0, evaluate : 0.55, relevant : 0.55, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.55, trends : 0.58, utilizing : 0.44, purpose : 0, results : 0.45, demonstrate : 0.64, that : 0, achieves : 0.38, superior : 0.55, 90 : 0, compared : 0.55, traditional : 0.46, methods : 0.65, like : 0, k : 0, nearest : 0.56, neighbor : 0.55, knn : 0, however : 0.45, limitations : 0.51, include : 0, restricted : 0.53, dataset : 0.56, diversity : 0.48, insufficient : 0.43, testing : 0.56, under : 0.47, real : 0.48, world : 0, conditions : 0.53, recommendations : 0.61, emphasize : 0.58, need : 0.63, larger : 0, more : 0.54, diverse : 0.51, datasets : 0.55, integration : 0.51, additional : 0.47, media : 1, spectral : 0.55, data : 0.48, video : 0.47, enhance : 0.56, model : 0.64, robustness : 0 |
| 83. digunakan | 130 words | 0.74 | systematic : 0.4, literature : 0.43, review : 0.43, on : 0.54, the : 0, application : 0.54, of : 0, convolutional : 0.42, neural : 0.52, networks : 0.41, for : 0, rambutan : 0.46, fruit : 0.37, classification : 0.49, advances : 0.46, challenges : 0.31, and : 0.46, future : 0.43, directions : 0.64, nephelium : 0, lappaceum : 0.41, l : 0, is : 0.54, a : 0, tropical : 0.49, widely : 0.35, cultivated : 0.43, in : 0.74, southeast : 0.48, asia : 0.57, including : 0.55, indonesia : 0.5, manual : 0.5, types : 0, ripeness : 0.49, levels : 0, remains : 0.42, challenge : 0.31, due : 0.67, to : 0, high : 0.57, subjectivity : 0.4, time : 0.45, intensive : 0.48, nature : 0.43, process : 0, particularly : 0.47, large : 0.44, scale : 0.44, agricultural : 0.56, operations : 0.31, network : 0.42, cnn : 0.48, deep : 0.51, learning : 0.46, approach : 0.41, offers : 0, significant : 0.67, potential : 0.48, automating : 0.43, improving : 0.48, accuracy : 0.49, tasks : 0.44, by : 0, extracting : 0.31, complex : 0, visual : 0.61, features : 0.32, such : 0.45, as : 0, color : 0, texture : 0.42, this : 0.45, study : 0.37, employs : 0, slr : 0, evaluate : 0.46, relevant : 0.32, research : 0.41, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.46, trends : 0.43, utilizing : 0.44, purpose : 0.42, results : 0.42, demonstrate : 0.58, that : 0.45, achieves : 0.41, superior : 0.41, 90 : 0, compared : 0.41, traditional : 0.54, methods : 0, like : 0.45, k : 0, nearest : 0.42, neighbor : 0.49, knn : 0.48, however : 0, limitations : 0.54, include : 0.48, restricted : 0.4, dataset : 0.55, diversity : 0.59, insufficient : 0.51, testing : 0.5, under : 0.48, real : 0.45, world : 0, conditions : 0.49, recommendations : 0.51, emphasize : 0.41, need : 0.45, larger : 0.43, more : 0, diverse : 0.6, datasets : 0.54, integration : 0.6, additional : 0.61, media : 0.64, spectral : 0.41, data : 0.62, video : 0.37, enhance : 0.5, model : 0.44, robustness : 0.47 |
| 84. aturan | 130 words | 0.78 | systematic : 0.51, literature : 0.6, review : 0, on : 0, the : 0.5, application : 0.55, of : 0, convolutional : 0.33, neural : 0.67, networks : 0.53, for : 0.5, rambutan : 0.72, fruit : 0.41, classification : 0.49, advances : 0.66, challenges : 0.51, and : 0.55, future : 0.56, directions : 0.49, nephelium : 0, lappaceum : 0.52, l : 0, is : 0, a : 0.75, tropical : 0.63, widely : 0, cultivated : 0.49, in : 0, southeast : 0.5, asia : 0.65, including : 0.52, indonesia : 0.43, manual : 0.67, types : 0.46, ripeness : 0.53, levels : 0, remains : 0.54, challenge : 0.52, due : 0.5, to : 0.56, high : 0, subjectivity : 0.33, time : 0.47, intensive : 0.52, nature : 0.78, process : 0.44, particularly : 0.65, large : 0.58, scale : 0.46, agricultural : 0.52, operations : 0.56, network : 0.54, cnn : 0, deep : 0, learning : 0.63, approach : 0.66, offers : 0.44, significant : 0.34, potential : 0.5, automating : 0.74, improving : 0.52, accuracy : 0.75, tasks : 0.41, by : 0, extracting : 0.56, complex : 0, visual : 0.56, features : 0.72, such : 0.47, as : 0.6, color : 0.46, texture : 0.64, this : 0.47, study : 0.58, employs : 0, slr : 0.5, evaluate : 0.63, relevant : 0.63, research : 0.53, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.58, identify : 0.36, trends : 0.67, utilizing : 0.5, purpose : 0.54, results : 0.44, demonstrate : 0.42, that : 0.44, achieves : 0.49, superior : 0.53, 90 : 0, compared : 0.36, traditional : 0.55, methods : 0.44, like : 0, k : 0, nearest : 0.54, neighbor : 0, knn : 0, however : 0, limitations : 0.59, include : 0.44, restricted : 0.34, dataset : 0.64, diversity : 0.43, insufficient : 0.33, testing : 0.54, under : 0.58, real : 0.47, world : 0.46, conditions : 0.34, recommendations : 0.46, emphasize : 0.43, need : 0, larger : 0.56, more : 0.47, diverse : 0.44, datasets : 0.63, integration : 0.51, additional : 0.65, media : 0.46, spectral : 0.63, data : 0.75, video : 0, enhance : 0.54, model : 0, robustness : 0.61 |
| 85. diterapkan | 130 words | 0.74 | systematic : 0.53, literature : 0.67, review : 0.49, on : 0, the : 0.62, application : 0.46, of : 0, convolutional : 0.4, neural : 0.6, networks : 0.55, for : 0.48, rambutan : 0.61, fruit : 0.47, classification : 0.48, advances : 0.45, challenges : 0.42, and : 0.48, future : 0.49, directions : 0.74, nephelium : 0.47, lappaceum : 0.45, l : 0, is : 0.53, a : 0, tropical : 0.54, widely : 0.49, cultivated : 0.42, in : 0.53, southeast : 0.54, asia : 0.57, including : 0.47, indonesia : 0.53, manual : 0.51, types : 0.52, ripeness : 0.47, levels : 0.42, remains : 0.64, challenge : 0.43, due : 0.66, to : 0.53, high : 0.45, subjectivity : 0.29, time : 0.57, intensive : 0.54, nature : 0.56, process : 0.33, particularly : 0.51, large : 0.52, scale : 0.37, agricultural : 0.51, operations : 0.53, network : 0.57, cnn : 0, deep : 0.71, learning : 0.61, approach : 0.39, offers : 0.51, significant : 0.52, potential : 0.54, automating : 0.53, improving : 0.53, accuracy : 0.48, tasks : 0.63, by : 0, extracting : 0.6, complex : 0.33, visual : 0.51, features : 0.47, such : 0, as : 0, color : 0.43, texture : 0.58, this : 0.4, study : 0.37, employs : 0.5, slr : 0.48, evaluate : 0.51, relevant : 0.55, research : 0.45, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.32, identify : 0.47, trends : 0.56, utilizing : 0.43, purpose : 0.41, results : 0.47, demonstrate : 0.63, that : 0.57, achieves : 0.48, superior : 0.55, 90 : 0, compared : 0.47, traditional : 0.61, methods : 0.33, like : 0.57, k : 0, nearest : 0.53, neighbor : 0.45, knn : 0, however : 0.5, limitations : 0.59, include : 0.5, restricted : 0.43, dataset : 0.58, diversity : 0.69, insufficient : 0.46, testing : 0.53, under : 0.63, real : 0.57, world : 0.37, conditions : 0.6, recommendations : 0.39, emphasize : 0.43, need : 0.4, larger : 0.49, more : 0.4, diverse : 0.73, datasets : 0.56, integration : 0.72, additional : 0.6, media : 0.61, spectral : 0.55, data : 0.62, video : 0.52, enhance : 0.5, model : 0.53, robustness : 0.43 |
| 86. sumber | 130 words | 0.78 | systematic : 0.54, literature : 0.51, review : 0.44, on : 0, the : 0.5, application : 0, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.53, for : 0, rambutan : 0.46, fruit : 0.46, classification : 0.41, advances : 0.43, challenges : 0.42, and : 0, future : 0.56, directions : 0.34, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0, widely : 0.44, cultivated : 0.51, in : 0, southeast : 0.65, asia : 0.47, including : 0.43, indonesia : 0.43, manual : 0.39, types : 0.46, ripeness : 0.43, levels : 0.44, remains : 0.44, challenge : 0.43, due : 0.67, to : 0, high : 0, subjectivity : 0.73, time : 0.61, intensive : 0.43, nature : 0.56, process : 0.44, particularly : 0.33, large : 0.46, scale : 0.62, agricultural : 0.33, operations : 0.51, network : 0.44, cnn : 0, deep : 0.47, learning : 0.53, approach : 0.43, offers : 0.56, significant : 0.48, potential : 0.43, automating : 0.51, improving : 0.52, accuracy : 0.53, tasks : 0.46, by : 0, extracting : 0.51, complex : 0.54, visual : 0.56, features : 0.51, such : 0.69, as : 0.56, color : 0.46, texture : 0.37, this : 0, study : 0.62, employs : 0.44, slr : 0.55, evaluate : 0.53, relevant : 0.43, research : 0.51, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.43, trends : 0.44, utilizing : 0.43, purpose : 0.54, results : 0.54, demonstrate : 0.48, that : 0, achieves : 0.43, superior : 0.78, 90 : 0, compared : 0.51, traditional : 0.42, methods : 0.44, like : 0.47, k : 0, nearest : 0.37, neighbor : 0.51, knn : 0, however : 0.54, limitations : 0.42, include : 0.44, restricted : 0.49, dataset : 0.44, diversity : 0.52, insufficient : 0.58, testing : 0.44, under : 0.7, real : 0, world : 0, conditions : 0, recommendations : 0.46, emphasize : 0.43, need : 0.47, larger : 0.56, more : 0.61, diverse : 0.54, datasets : 0.43, integration : 0.51, additional : 0, media : 0.46, spectral : 0.66, data : 0, video : 0.46, enhance : 0.44, model : 0.58, robustness : 0.61 |
| 87. paling | 130 words | 0.72 | systematic : 0, literature : 0.43, review : 0.44, on : 0, the : 0, application : 0.59, of : 0, convolutional : 0.41, neural : 0, networks : 0, for : 0, rambutan : 0.53, fruit : 0.46, classification : 0.46, advances : 0.53, challenges : 0.69, and : 0.5, future : 0, directions : 0.51, nephelium : 0.61, lappaceum : 0.5, l : 0.72, is : 0, a : 0.72, tropical : 0.53, widely : 0.39, cultivated : 0.51, in : 0, southeast : 0, asia : 0.61, including : 0.58, indonesia : 0.52, manual : 0.56, types : 0.46, ripeness : 0.51, levels : 0.44, remains : 0.64, challenge : 0.7, due : 0, to : 0, high : 0.47, subjectivity : 0.42, time : 0.47, intensive : 0.52, nature : 0.44, process : 0.49, particularly : 0.67, large : 0.59, scale : 0.58, agricultural : 0.58, operations : 0.69, network : 0, cnn : 0.5, deep : 0, learning : 0.69, approach : 0.36, offers : 0, significant : 0.48, potential : 0.55, automating : 0.69, improving : 0.62, accuracy : 0.43, tasks : 0.46, by : 0, extracting : 0.69, complex : 0.44, visual : 0.44, features : 0.43, such : 0, as : 0.56, color : 0.46, texture : 0, this : 0.47, study : 0, employs : 0.54, slr : 0.5, evaluate : 0.53, relevant : 0.53, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.51, identify : 0.53, trends : 0.44, utilizing : 0.62, purpose : 0.49, results : 0.44, demonstrate : 0.42, that : 0.47, achieves : 0.53, superior : 0.53, 90 : 0, compared : 0.53, traditional : 0.59, methods : 0, like : 0.61, k : 0, nearest : 0.44, neighbor : 0.53, knn : 0.5, however : 0, limitations : 0.42, include : 0.44, restricted : 0.42, dataset : 0.44, diversity : 0.43, insufficient : 0.5, testing : 0.64, under : 0, real : 0.61, world : 0.46, conditions : 0.34, recommendations : 0.41, emphasize : 0.61, need : 0, larger : 0.56, more : 0, diverse : 0.44, datasets : 0.43, integration : 0.59, additional : 0.6, media : 0.46, spectral : 0.43, data : 0.47, video : 0.46, enhance : 0.54, model : 0.46, robustness : 0.42 |
| 88. penting | 130 words | 0.81 | systematic : 0.47, literature : 0.47, review : 0.54, on : 0.55, the : 0.49, application : 0.46, of : 0, convolutional : 0.63, neural : 0.37, networks : 0.49, for : 0, rambutan : 0.51, fruit : 0.4, classification : 0.4, advances : 0.42, challenges : 0.58, and : 0.49, future : 0.44, directions : 0.53, nephelium : 0.59, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0.44, cultivated : 0.5, in : 0.55, southeast : 0.42, asia : 0.46, including : 0.67, indonesia : 0.48, manual : 0.44, types : 0.56, ripeness : 0.52, levels : 0.44, remains : 0.62, challenge : 0.5, due : 0.49, to : 0, high : 0, subjectivity : 0.56, time : 0.46, intensive : 0.59, nature : 0.54, process : 0.49, particularly : 0.6, large : 0, scale : 0, agricultural : 0.45, operations : 0.74, network : 0.51, cnn : 0.49, deep : 0.46, learning : 0.78, approach : 0.42, offers : 0.44, significant : 0.52, potential : 0.69, automating : 0.66, improving : 0.67, accuracy : 0, tasks : 0, by : 0, extracting : 0.74, complex : 0, visual : 0, features : 0.51, such : 0, as : 0, color : 0, texture : 0.52, this : 0.46, study : 0.45, employs : 0.36, slr : 0, evaluate : 0.51, relevant : 0.51, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.69, trends : 0.54, utilizing : 0.67, purpose : 0.49, results : 0.52, demonstrate : 0.57, that : 0.46, achieves : 0.35, superior : 0.6, 90 : 0, compared : 0.42, traditional : 0.57, methods : 0.52, like : 0.46, k : 0, nearest : 0.36, neighbor : 0.61, knn : 0.49, however : 0.43, limitations : 0.46, include : 0.43, restricted : 0.58, dataset : 0.43, diversity : 0.34, insufficient : 0.45, testing : 0.81, under : 0.4, real : 0.46, world : 0, conditions : 0.57, recommendations : 0.47, emphasize : 0.48, need : 0.43, larger : 0, more : 0.46, diverse : 0.43, datasets : 0.42, integration : 0.66, additional : 0.47, media : 0.56, spectral : 0.6, data : 0.46, video : 0.45, enhance : 0.62, model : 0.45, robustness : 0.33 |
| 89. data | 130 words | 1 | systematic : 0.57, literature : 0.4, review : 0, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0.44, neural : 0.47, networks : 0.46, for : 0, rambutan : 0.71, fruit : 0, classification : 0.55, advances : 0.6, challenges : 0.45, and : 0.53, future : 0.47, directions : 0.61, nephelium : 0, lappaceum : 0.57, l : 0, is : 0, a : 0.75, tropical : 0.58, widely : 0.47, cultivated : 0.57, in : 0, southeast : 0.57, asia : 0.67, including : 0, indonesia : 0.45, manual : 0.61, types : 0, ripeness : 0, levels : 0, remains : 0.46, challenge : 0.45, due : 0.58, to : 0, high : 0, subjectivity : 0.44, time : 0, intensive : 0.45, nature : 0.61, process : 0, particularly : 0.67, large : 0.48, scale : 0.48, agricultural : 0.56, operations : 0.57, network : 0.46, cnn : 0, deep : 0.55, learning : 0.46, approach : 0.58, offers : 0, significant : 0, potential : 0.45, automating : 0.68, improving : 0, accuracy : 0.58, tasks : 0.48, by : 0, extracting : 0.4, complex : 0, visual : 0.47, features : 0.58, such : 0, as : 0.58, color : 0, texture : 0.46, this : 0, study : 0.48, employs : 0, slr : 0, evaluate : 0.58, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.58, identify : 0.58, trends : 0.47, utilizing : 0.45, purpose : 0, results : 0, demonstrate : 0.6, that : 0.67, achieves : 0.46, superior : 0, 90 : 0, compared : 0.46, traditional : 0.56, methods : 0.46, like : 0, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0, limitations : 0.39, include : 0, restricted : 0.45, dataset : 0.91, diversity : 0.51, insufficient : 0, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0.57, recommendations : 0.44, emphasize : 0.45, need : 0, larger : 0.47, more : 0, diverse : 0.52, datasets : 0.9, integration : 0.56, additional : 0.57, media : 0.48, spectral : 0.58, data : 1, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 90. nilai | 130 words | 0.68 | systematic : 0.53, literature : 0.52, review : 0.46, on : 0.57, the : 0, application : 0.64, of : 0, convolutional : 0.61, neural : 0.62, networks : 0.5, for : 0, rambutan : 0.44, fruit : 0.47, classification : 0.57, advances : 0.44, challenges : 0.37, and : 0.51, future : 0, directions : 0.53, nephelium : 0.68, lappaceum : 0.54, l : 0, is : 0.57, a : 0, tropical : 0.55, widely : 0.58, cultivated : 0.52, in : 0.63, southeast : 0.44, asia : 0.63, including : 0.66, indonesia : 0.53, manual : 0.41, types : 0, ripeness : 0.44, levels : 0.46, remains : 0.56, challenge : 0.37, due : 0, to : 0, high : 0.48, subjectivity : 0.43, time : 0.48, intensive : 0.53, nature : 0.62, process : 0, particularly : 0.45, large : 0, scale : 0.43, agricultural : 0.45, operations : 0.53, network : 0.5, cnn : 0.51, deep : 0, learning : 0.66, approach : 0.44, offers : 0, significant : 0.51, potential : 0.44, automating : 0.53, improving : 0.54, accuracy : 0.44, tasks : 0, by : 0, extracting : 0.53, complex : 0.45, visual : 0.58, features : 0.44, such : 0, as : 0, color : 0.47, texture : 0, this : 0.48, study : 0, employs : 0.45, slr : 0.51, evaluate : 0.38, relevant : 0.55, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.55, trends : 0, utilizing : 0.64, purpose : 0, results : 0.45, demonstrate : 0.43, that : 0.48, achieves : 0.38, superior : 0.44, 90 : 0, compared : 0.44, traditional : 0.51, methods : 0, like : 0.48, k : 0, nearest : 0.61, neighbor : 0.6, knn : 0.51, however : 0, limitations : 0.55, include : 0.57, restricted : 0.43, dataset : 0.45, diversity : 0.54, insufficient : 0.51, testing : 0.45, under : 0.47, real : 0.47, world : 0.47, conditions : 0.63, recommendations : 0.42, emphasize : 0.54, need : 0.54, larger : 0.58, more : 0, diverse : 0.45, datasets : 0.44, integration : 0.64, additional : 0.52, media : 0.43, spectral : 0.44, data : 0.48, video : 0.47, enhance : 0.56, model : 0, robustness : 0 |
| 91. mengumpulkan | 130 words | 0.7 | systematic : 0.41, literature : 0.41, review : 0.42, on : 0.53, the : 0.47, application : 0.57, of : 0, convolutional : 0.47, neural : 0.58, networks : 0.43, for : 0, rambutan : 0.49, fruit : 0.43, classification : 0.44, advances : 0.31, challenges : 0.41, and : 0.47, future : 0.47, directions : 0.46, nephelium : 0.56, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.43, widely : 0.5, cultivated : 0.46, in : 0.53, southeast : 0.42, asia : 0, including : 0.56, indonesia : 0.42, manual : 0.7, types : 0.36, ripeness : 0.38, levels : 0.5, remains : 0.45, challenge : 0.43, due : 0.44, to : 0, high : 0.44, subjectivity : 0.28, time : 0.56, intensive : 0.3, nature : 0.42, process : 0.41, particularly : 0.5, large : 0.36, scale : 0.36, agricultural : 0.54, operations : 0.41, network : 0.45, cnn : 0.47, deep : 0.56, learning : 0.53, approach : 0.47, offers : 0.42, significant : 0.48, potential : 0.51, automating : 0.49, improving : 0.47, accuracy : 0.47, tasks : 0, by : 0, extracting : 0.46, complex : 0.51, visual : 0.5, features : 0.47, such : 0.44, as : 0, color : 0, texture : 0.48, this : 0, study : 0.43, employs : 0.55, slr : 0, evaluate : 0.53, relevant : 0.43, research : 0.4, from : 0.44, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.38, identify : 0.47, trends : 0.5, utilizing : 0.43, purpose : 0.39, results : 0.56, demonstrate : 0.48, that : 0, achieves : 0.4, superior : 0.38, 90 : 0, compared : 0.43, traditional : 0.4, methods : 0.59, like : 0.44, k : 0, nearest : 0.32, neighbor : 0.43, knn : 0.47, however : 0.41, limitations : 0.51, include : 0.51, restricted : 0.39, dataset : 0.41, diversity : 0.4, insufficient : 0.5, testing : 0.56, under : 0.51, real : 0.56, world : 0.43, conditions : 0.46, recommendations : 0.52, emphasize : 0.42, need : 0.39, larger : 0.33, more : 0.6, diverse : 0.41, datasets : 0.4, integration : 0.56, additional : 0.41, media : 0.62, spectral : 0.44, data : 0, video : 0.43, enhance : 0.48, model : 0.66, robustness : 0.29 |
| 92. cahaya | 130 words | 0.72 | systematic : 0.34, literature : 0.42, review : 0, on : 0, the : 0.5, application : 0.51, of : 0, convolutional : 0.47, neural : 0.44, networks : 0, for : 0, rambutan : 0.53, fruit : 0, classification : 0.61, advances : 0.53, challenges : 0.54, and : 0.5, future : 0, directions : 0.42, nephelium : 0.43, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.43, widely : 0.44, cultivated : 0.56, in : 0, southeast : 0.52, asia : 0.61, including : 0.43, indonesia : 0.43, manual : 0.56, types : 0, ripeness : 0, levels : 0, remains : 0.44, challenge : 0.55, due : 0, to : 0, high : 0.47, subjectivity : 0.42, time : 0, intensive : 0, nature : 0.44, process : 0, particularly : 0.47, large : 0.46, scale : 0.58, agricultural : 0.47, operations : 0.42, network : 0, cnn : 0.55, deep : 0, learning : 0.43, approach : 0.53, offers : 0, significant : 0.42, potential : 0.43, automating : 0.51, improving : 0, accuracy : 0.64, tasks : 0.46, by : 0, extracting : 0.42, complex : 0.49, visual : 0.44, features : 0.43, such : 0.61, as : 0.56, color : 0.51, texture : 0, this : 0.47, study : 0.46, employs : 0.44, slr : 0, evaluate : 0.53, relevant : 0.43, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.63, identify : 0.43, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.42, that : 0.44, achieves : 0.51, superior : 0, 90 : 0, compared : 0.58, traditional : 0.51, methods : 0.44, like : 0, k : 0, nearest : 0.44, neighbor : 0.43, knn : 0, however : 0.44, limitations : 0.42, include : 0.44, restricted : 0, dataset : 0.54, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0.47, world : 0, conditions : 0.48, recommendations : 0.49, emphasize : 0.35, need : 0, larger : 0.44, more : 0, diverse : 0, datasets : 0.53, integration : 0.42, additional : 0.51, media : 0.46, spectral : 0.53, data : 0.61, video : 0, enhance : 0.37, model : 0, robustness : 0 |
| 93. putri | 130 words | 0.74 | systematic : 0.53, literature : 0.47, review : 0.46, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0.61, neural : 0.58, networks : 0.55, for : 0.51, rambutan : 0.49, fruit : 0.6, classification : 0.42, advances : 0, challenges : 0, and : 0, future : 0.7, directions : 0.52, nephelium : 0.54, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.64, widely : 0, cultivated : 0.63, in : 0, southeast : 0.54, asia : 0, including : 0.54, indonesia : 0.44, manual : 0.46, types : 0, ripeness : 0.49, levels : 0, remains : 0.45, challenge : 0, due : 0.51, to : 0, high : 0, subjectivity : 0.62, time : 0, intensive : 0.54, nature : 0.59, process : 0.61, particularly : 0.74, large : 0.47, scale : 0, agricultural : 0.54, operations : 0.65, network : 0.56, cnn : 0, deep : 0, learning : 0.55, approach : 0.55, offers : 0.46, significant : 0.43, potential : 0.68, automating : 0.63, improving : 0.64, accuracy : 0.55, tasks : 0, by : 0, extracting : 0.63, complex : 0, visual : 0.46, features : 0.55, such : 0.48, as : 0, color : 0.47, texture : 0.56, this : 0, study : 0.43, employs : 0.45, slr : 0.51, evaluate : 0.44, relevant : 0.44, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.55, trends : 0.58, utilizing : 0.64, purpose : 0.74, results : 0.45, demonstrate : 0.53, that : 0.48, achieves : 0.44, superior : 0.68, 90 : 0, compared : 0.55, traditional : 0.62, methods : 0.45, like : 0, k : 0, nearest : 0.45, neighbor : 0.44, knn : 0, however : 0, limitations : 0.36, include : 0, restricted : 0.52, dataset : 0.45, diversity : 0.37, insufficient : 0.36, testing : 0.56, under : 0.6, real : 0, world : 0.47, conditions : 0.37, recommendations : 0.42, emphasize : 0.54, need : 0, larger : 0.46, more : 0.48, diverse : 0.45, datasets : 0.44, integration : 0.46, additional : 0.37, media : 0.47, spectral : 0.66, data : 0.48, video : 0, enhance : 0, model : 0, robustness : 0.47 |
| 94. mayanti | 130 words | 0.73 | systematic : 0.57, literature : 0.33, review : 0, on : 0, the : 0, application : 0.52, of : 0, convolutional : 0.55, neural : 0.44, networks : 0.42, for : 0, rambutan : 0.61, fruit : 0.45, classification : 0.49, advances : 0.6, challenges : 0.5, and : 0.49, future : 0, directions : 0.41, nephelium : 0.42, lappaceum : 0.5, l : 0, is : 0, a : 0.71, tropical : 0.35, widely : 0, cultivated : 0.41, in : 0, southeast : 0.34, asia : 0.6, including : 0.5, indonesia : 0.5, manual : 0.73, types : 0.45, ripeness : 0.42, levels : 0, remains : 0.63, challenge : 0.5, due : 0, to : 0, high : 0, subjectivity : 0.48, time : 0.46, intensive : 0.59, nature : 0.44, process : 0, particularly : 0.51, large : 0.45, scale : 0.45, agricultural : 0.45, operations : 0.53, network : 0, cnn : 0.49, deep : 0, learning : 0.6, approach : 0.51, offers : 0, significant : 0.49, potential : 0.48, automating : 0.65, improving : 0.48, accuracy : 0.51, tasks : 0.45, by : 0.55, extracting : 0.49, complex : 0.43, visual : 0.44, features : 0.51, such : 0, as : 0.55, color : 0, texture : 0.43, this : 0, study : 0.45, employs : 0.43, slr : 0, evaluate : 0.6, relevant : 0.6, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.61, identify : 0.6, trends : 0.44, utilizing : 0.34, purpose : 0, results : 0.43, demonstrate : 0.57, that : 0.6, achieves : 0.51, superior : 0.42, 90 : 0, compared : 0.51, traditional : 0.56, methods : 0.49, like : 0, k : 0, nearest : 0.52, neighbor : 0, knn : 0.49, however : 0, limitations : 0.56, include : 0, restricted : 0.5, dataset : 0.62, diversity : 0.34, insufficient : 0.48, testing : 0.45, under : 0, real : 0.46, world : 0, conditions : 0.47, recommendations : 0.62, emphasize : 0.59, need : 0, larger : 0.44, more : 0.52, diverse : 0, datasets : 0.49, integration : 0.52, additional : 0.57, media : 0.61, spectral : 0.35, data : 0.6, video : 0, enhance : 0.52, model : 0.5, robustness : 0.33 |
| 95. 2024 | 130 words | 1 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0.73, 2024 : 1, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.58, compared : 0, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 96. terdapat | 130 words | 0.71 | systematic : 0.63, literature : 0.71, review : 0.36, on : 0, the : 0.67, application : 0.62, of : 0, convolutional : 0.3, neural : 0.63, networks : 0.47, for : 0.49, rambutan : 0.58, fruit : 0.55, classification : 0.53, advances : 0.5, challenges : 0.32, and : 0.49, future : 0.53, directions : 0.55, nephelium : 0.49, lappaceum : 0.57, l : 0, is : 0, a : 0, tropical : 0.63, widely : 0.36, cultivated : 0.56, in : 0, southeast : 0.57, asia : 0.46, including : 0.41, indonesia : 0.49, manual : 0.53, types : 0.59, ripeness : 0.42, levels : 0.43, remains : 0.49, challenge : 0.41, due : 0.47, to : 0.59, high : 0, subjectivity : 0.47, time : 0.63, intensive : 0.49, nature : 0.46, process : 0.35, particularly : 0.55, large : 0.55, scale : 0.38, agricultural : 0.44, operations : 0.58, network : 0.49, cnn : 0, deep : 0.6, learning : 0.47, approach : 0.42, offers : 0.53, significant : 0.48, potential : 0.56, automating : 0.55, improving : 0.32, accuracy : 0.5, tasks : 0.6, by : 0, extracting : 0.64, complex : 0.42, visual : 0.43, features : 0.5, such : 0, as : 0, color : 0.44, texture : 0.68, this : 0.51, study : 0.55, employs : 0.51, slr : 0.49, evaluate : 0.67, relevant : 0.58, research : 0.47, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.42, identify : 0.47, trends : 0.67, utilizing : 0.41, purpose : 0.51, results : 0.49, demonstrate : 0.45, that : 0.63, achieves : 0.42, superior : 0.42, 90 : 0, compared : 0.47, traditional : 0.69, methods : 0.49, like : 0.46, k : 0, nearest : 0.61, neighbor : 0.42, knn : 0, however : 0.42, limitations : 0.55, include : 0.42, restricted : 0.55, dataset : 0.68, diversity : 0.52, insufficient : 0.4, testing : 0.61, under : 0.49, real : 0.6, world : 0.55, conditions : 0.48, recommendations : 0.59, emphasize : 0.46, need : 0.58, larger : 0.51, more : 0.42, diverse : 0.43, datasets : 0.65, integration : 0.69, additional : 0.55, media : 0.66, spectral : 0.54, data : 0.71, video : 0.38, enhance : 0.51, model : 0.38, robustness : 0.48 |
| 97. pilar | 130 words | 0.71 | systematic : 0.43, literature : 0.57, review : 0.46, on : 0, the : 0, application : 0.6, of : 0, convolutional : 0.43, neural : 0.41, networks : 0.44, for : 0, rambutan : 0.44, fruit : 0, classification : 0.44, advances : 0.44, challenges : 0.37, and : 0, future : 0.46, directions : 0.53, nephelium : 0.54, lappaceum : 0.48, l : 0, is : 0.57, a : 0, tropical : 0.6, widely : 0.58, cultivated : 0.52, in : 0.57, southeast : 0.44, asia : 0.63, including : 0.54, indonesia : 0.44, manual : 0.46, types : 0, ripeness : 0.38, levels : 0.46, remains : 0.45, challenge : 0.37, due : 0, to : 0, high : 0.48, subjectivity : 0, time : 0.48, intensive : 0.44, nature : 0.58, process : 0.5, particularly : 0.71, large : 0, scale : 0.43, agricultural : 0.54, operations : 0.52, network : 0.45, cnn : 0, deep : 0, learning : 0.66, approach : 0.55, offers : 0.46, significant : 0.43, potential : 0.49, automating : 0.43, improving : 0.53, accuracy : 0.55, tasks : 0, by : 0, extracting : 0.37, complex : 0.45, visual : 0.58, features : 0.55, such : 0, as : 0, color : 0.6, texture : 0.45, this : 0.48, study : 0, employs : 0.56, slr : 0.51, evaluate : 0.38, relevant : 0.55, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.38, identify : 0.44, trends : 0, utilizing : 0.54, purpose : 0.61, results : 0.45, demonstrate : 0.43, that : 0.48, achieves : 0.38, superior : 0.55, 90 : 0, compared : 0.66, traditional : 0.51, methods : 0, like : 0.48, k : 0, nearest : 0.56, neighbor : 0.55, knn : 0, however : 0.45, limitations : 0.51, include : 0.56, restricted : 0.37, dataset : 0.45, diversity : 0.54, insufficient : 0.43, testing : 0, under : 0.47, real : 0.47, world : 0.47, conditions : 0.43, recommendations : 0.34, emphasize : 0.54, need : 0, larger : 0.7, more : 0, diverse : 0.56, datasets : 0.44, integration : 0.51, additional : 0.37, media : 0.47, spectral : 0.55, data : 0.48, video : 0.47, enhance : 0.45, model : 0, robustness : 0.43 |
| 98. akad | 130 words | 0.78 | systematic : 0.45, literature : 0.45, review : 0, on : 0, the : 0, application : 0.6, of : 0, convolutional : 0, neural : 0.47, networks : 0, for : 0, rambutan : 0.46, fruit : 0, classification : 0.44, advances : 0.64, challenges : 0.45, and : 0.75, future : 0, directions : 0.45, nephelium : 0, lappaceum : 0.57, l : 0, is : 0, a : 0.78, tropical : 0, widely : 0.47, cultivated : 0.45, in : 0, southeast : 0, asia : 0.7, including : 0.45, indonesia : 0.45, manual : 0.61, types : 0, ripeness : 0, levels : 0, remains : 0.46, challenge : 0.45, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.47, process : 0, particularly : 0.44, large : 0.48, scale : 0.48, agricultural : 0.5, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0.46, approach : 0.63, offers : 0, significant : 0, potential : 0, automating : 0.61, improving : 0, accuracy : 0.63, tasks : 0.48, by : 0, extracting : 0.45, complex : 0, visual : 0.47, features : 0.46, such : 0, as : 0.63, color : 0, texture : 0, this : 0, study : 0.48, employs : 0, slr : 0, evaluate : 0.58, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.63, identify : 0.46, trends : 0.47, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.45, that : 0.5, achieves : 0.51, superior : 0, 90 : 0, compared : 0.46, traditional : 0.56, methods : 0.46, like : 0.5, k : 0.75, nearest : 0.46, neighbor : 0, knn : 0.53, however : 0, limitations : 0.45, include : 0.46, restricted : 0, dataset : 0.6, diversity : 0.45, insufficient : 0, testing : 0, under : 0.48, real : 0.5, world : 0.48, conditions : 0.45, recommendations : 0.44, emphasize : 0.45, need : 0.5, larger : 0.47, more : 0, diverse : 0, datasets : 0.6, integration : 0.45, additional : 0.61, media : 0.48, spectral : 0, data : 0.67, video : 0.48, enhance : 0.46, model : 0.48, robustness : 0 |
| 99. menjalankan | 130 words | 0.7 | systematic : 0.46, literature : 0.46, review : 0.42, on : 0.53, the : 0.47, application : 0.58, of : 0, convolutional : 0.47, neural : 0.59, networks : 0.44, for : 0, rambutan : 0.54, fruit : 0, classification : 0.47, advances : 0.44, challenges : 0.42, and : 0.45, future : 0.42, directions : 0.46, nephelium : 0.42, lappaceum : 0.47, l : 0, is : 0, a : 0.7, tropical : 0.48, widely : 0.51, cultivated : 0.29, in : 0.53, southeast : 0.47, asia : 0.56, including : 0.54, indonesia : 0.48, manual : 0.67, types : 0.43, ripeness : 0.48, levels : 0.51, remains : 0.48, challenge : 0.44, due : 0.47, to : 0, high : 0, subjectivity : 0.28, time : 0.56, intensive : 0.42, nature : 0.42, process : 0.41, particularly : 0.51, large : 0.36, scale : 0.46, agricultural : 0.51, operations : 0.52, network : 0.46, cnn : 0.47, deep : 0.45, learning : 0.54, approach : 0.48, offers : 0.42, significant : 0.52, potential : 0.6, automating : 0.5, improving : 0.47, accuracy : 0.48, tasks : 0.43, by : 0, extracting : 0.52, complex : 0.46, visual : 0.51, features : 0.48, such : 0, as : 0.53, color : 0.43, texture : 0.41, this : 0, study : 0, employs : 0.46, slr : 0.47, evaluate : 0.62, relevant : 0.54, research : 0.48, from : 0.45, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.45, identify : 0.48, trends : 0.51, utilizing : 0.47, purpose : 0, results : 0.49, demonstrate : 0.49, that : 0.45, achieves : 0.31, superior : 0.41, 90 : 0, compared : 0.48, traditional : 0.4, methods : 0.59, like : 0.45, k : 0, nearest : 0.46, neighbor : 0.31, knn : 0.47, however : 0.41, limitations : 0.52, include : 0.49, restricted : 0.4, dataset : 0.46, diversity : 0.4, insufficient : 0.45, testing : 0.49, under : 0.36, real : 0.67, world : 0.43, conditions : 0.46, recommendations : 0.53, emphasize : 0.42, need : 0.39, larger : 0.34, more : 0.6, diverse : 0.41, datasets : 0.44, integration : 0.49, additional : 0.5, media : 0.7, spectral : 0.55, data : 0.56, video : 0.43, enhance : 0.65, model : 0.66, robustness : 0.4 |
| 100. 1 | 130 words | 0 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0, compared : 0, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 101. adanya | 130 words | 0.78 | systematic : 0.34, literature : 0.42, review : 0, on : 0.56, the : 0, application : 0.55, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.43, for : 0, rambutan : 0.53, fruit : 0, classification : 0.49, advances : 0.78, challenges : 0.51, and : 0.75, future : 0, directions : 0.42, nephelium : 0.43, lappaceum : 0.52, l : 0, is : 0, a : 0.75, tropical : 0.43, widely : 0.56, cultivated : 0.42, in : 0.56, southeast : 0.43, asia : 0.65, including : 0.43, indonesia : 0.5, manual : 0.56, types : 0, ripeness : 0.43, levels : 0, remains : 0.54, challenge : 0.52, due : 0.5, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0.43, nature : 0.44, process : 0, particularly : 0.5, large : 0.46, scale : 0.46, agricultural : 0.55, operations : 0.42, network : 0, cnn : 0.5, deep : 0.47, learning : 0.53, approach : 0.58, offers : 0, significant : 0.51, potential : 0.52, automating : 0.56, improving : 0, accuracy : 0.66, tasks : 0.46, by : 0, extracting : 0.42, complex : 0, visual : 0.44, features : 0.43, such : 0, as : 0.6, color : 0, texture : 0, this : 0, study : 0.58, employs : 0.44, slr : 0, evaluate : 0.53, relevant : 0.53, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.67, identify : 0.63, trends : 0.44, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.59, that : 0.47, achieves : 0.49, superior : 0, 90 : 0, compared : 0.43, traditional : 0.59, methods : 0, like : 0, k : 0, nearest : 0.44, neighbor : 0.43, knn : 0.5, however : 0, limitations : 0.42, include : 0.44, restricted : 0, dataset : 0.53, diversity : 0.43, insufficient : 0.42, testing : 0.44, under : 0.41, real : 0.47, world : 0, conditions : 0.34, recommendations : 0.49, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0, diverse : 0.44, datasets : 0.51, integration : 0.34, additional : 0.75, media : 0.58, spectral : 0.43, data : 0.64, video : 0.46, enhance : 0.37, model : 0.46, robustness : 0.42 |
| 102. kedua | 130 words | 0.76 | systematic : 0.53, literature : 0.52, review : 0.46, on : 0, the : 0.51, application : 0.43, of : 0, convolutional : 0.43, neural : 0.7, networks : 0.44, for : 0, rambutan : 0.38, fruit : 0.47, classification : 0.42, advances : 0.55, challenges : 0.37, and : 0.51, future : 0.46, directions : 0.37, nephelium : 0.44, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.44, widely : 0.41, cultivated : 0.53, in : 0, southeast : 0.54, asia : 0.48, including : 0.37, indonesia : 0.44, manual : 0.58, types : 0, ripeness : 0.44, levels : 0.46, remains : 0.56, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.36, time : 0, intensive : 0.44, nature : 0.46, process : 0, particularly : 0.36, large : 0, scale : 0, agricultural : 0.36, operations : 0.53, network : 0.45, cnn : 0, deep : 0.48, learning : 0.55, approach : 0.44, offers : 0.46, significant : 0.43, potential : 0.54, automating : 0.37, improving : 0, accuracy : 0.55, tasks : 0, by : 0, extracting : 0.53, complex : 0, visual : 0.58, features : 0.55, such : 0, as : 0, color : 0, texture : 0.56, this : 0, study : 0.43, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.55, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.38, trends : 0.58, utilizing : 0.44, purpose : 0.45, results : 0.56, demonstrate : 0.51, that : 0, achieves : 0.44, superior : 0.38, 90 : 0, compared : 0.44, traditional : 0.36, methods : 0.45, like : 0, k : 0.76, nearest : 0.56, neighbor : 0.44, knn : 0.56, however : 0.45, limitations : 0.43, include : 0.45, restricted : 0.43, dataset : 0.56, diversity : 0.37, insufficient : 0.43, testing : 0.45, under : 0.47, real : 0.48, world : 0, conditions : 0.43, recommendations : 0.6, emphasize : 0.54, need : 0.63, larger : 0, more : 0, diverse : 0.4, datasets : 0.55, integration : 0.53, additional : 0.37, media : 0.73, spectral : 0.55, data : 0.48, video : 0.47, enhance : 0.56, model : 0.47, robustness : 0.43 |
| 103. pihak | 130 words | 0.66 | systematic : 0.43, literature : 0.53, review : 0.46, on : 0, the : 0.51, application : 0.46, of : 0, convolutional : 0, neural : 0.46, networks : 0.44, for : 0, rambutan : 0.44, fruit : 0, classification : 0.35, advances : 0.44, challenges : 0.53, and : 0, future : 0, directions : 0.43, nephelium : 0.54, lappaceum : 0.37, l : 0, is : 0.57, a : 0, tropical : 0.66, widely : 0.46, cultivated : 0.53, in : 0.57, southeast : 0.54, asia : 0.63, including : 0.44, indonesia : 0.44, manual : 0.46, types : 0, ripeness : 0.38, levels : 0, remains : 0.45, challenge : 0.54, due : 0, to : 0, high : 0.63, subjectivity : 0, time : 0.48, intensive : 0.44, nature : 0.46, process : 0.5, particularly : 0.55, large : 0, scale : 0.47, agricultural : 0.36, operations : 0.53, network : 0.45, cnn : 0, deep : 0, learning : 0.44, approach : 0.38, offers : 0, significant : 0.43, potential : 0.49, automating : 0.43, improving : 0.37, accuracy : 0.44, tasks : 0.47, by : 0, extracting : 0.43, complex : 0, visual : 0.58, features : 0.44, such : 0.48, as : 0, color : 0, texture : 0, this : 0.47, study : 0, employs : 0.45, slr : 0, evaluate : 0.44, relevant : 0.44, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.44, trends : 0, utilizing : 0.44, purpose : 0.5, results : 0, demonstrate : 0, that : 0.63, achieves : 0.55, superior : 0.44, 90 : 0, compared : 0.55, traditional : 0.36, methods : 0.45, like : 0.48, k : 0, nearest : 0.45, neighbor : 0.55, knn : 0, however : 0.45, limitations : 0.53, include : 0.45, restricted : 0.43, dataset : 0.45, diversity : 0.44, insufficient : 0.43, testing : 0, under : 0, real : 0.48, world : 0, conditions : 0.43, recommendations : 0.42, emphasize : 0.64, need : 0, larger : 0.46, more : 0, diverse : 0.45, datasets : 0.44, integration : 0.53, additional : 0.37, media : 0.47, spectral : 0.55, data : 0.48, video : 0.47, enhance : 0.56, model : 0, robustness : 0 |
| 104. kontrak | 130 words | 0.76 | systematic : 0.5, literature : 0.58, review : 0, on : 0.76, the : 0, application : 0.32, of : 0.55, convolutional : 0.55, neural : 0.64, networks : 0.68, for : 0.65, rambutan : 0.51, fruit : 0.45, classification : 0.4, advances : 0.35, challenges : 0.33, and : 0.49, future : 0.54, directions : 0.33, nephelium : 0.42, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.57, widely : 0, cultivated : 0.5, in : 0.55, southeast : 0.59, asia : 0.46, including : 0.42, indonesia : 0.48, manual : 0.54, types : 0, ripeness : 0.42, levels : 0, remains : 0.43, challenge : 0.42, due : 0, to : 0.55, high : 0, subjectivity : 0.41, time : 0, intensive : 0.5, nature : 0.64, process : 0.43, particularly : 0.45, large : 0.45, scale : 0, agricultural : 0.45, operations : 0.53, network : 0.71, cnn : 0.49, deep : 0, learning : 0.49, approach : 0.49, offers : 0.54, significant : 0.49, potential : 0.59, automating : 0.47, improving : 0.34, accuracy : 0.51, tasks : 0, by : 0, extracting : 0.58, complex : 0.43, visual : 0.44, features : 0.43, such : 0, as : 0, color : 0.56, texture : 0.52, this : 0, study : 0.45, employs : 0, slr : 0.49, evaluate : 0.35, relevant : 0.42, research : 0.35, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.51, identify : 0.51, trends : 0.44, utilizing : 0.42, purpose : 0.43, results : 0.43, demonstrate : 0.72, that : 0.46, achieves : 0, superior : 0.42, 90 : 0, compared : 0.49, traditional : 0.57, methods : 0.43, like : 0.46, k : 0.74, nearest : 0.52, neighbor : 0.51, knn : 0.69, however : 0.52, limitations : 0.49, include : 0.43, restricted : 0.33, dataset : 0.52, diversity : 0.42, insufficient : 0.41, testing : 0.43, under : 0.56, real : 0, world : 0.56, conditions : 0.58, recommendations : 0.49, emphasize : 0.42, need : 0.46, larger : 0.44, more : 0.6, diverse : 0.43, datasets : 0.51, integration : 0.65, additional : 0.5, media : 0.45, spectral : 0.6, data : 0.6, video : 0, enhance : 0.52, model : 0.45, robustness : 0.53 |
| 105. 2 | 130 words | 0.78 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0.78, 2024 : 0.78, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0, compared : 0, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 106. perjanjian | 130 words | 0.73 | systematic : 0.53, literature : 0.53, review : 0.49, on : 0.53, the : 0.48, application : 0.58, of : 0, convolutional : 0.49, neural : 0.6, networks : 0.48, for : 0.48, rambutan : 0.55, fruit : 0.53, classification : 0.56, advances : 0.48, challenges : 0.42, and : 0.62, future : 0.34, directions : 0.43, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0, a : 0.7, tropical : 0.47, widely : 0.42, cultivated : 0.3, in : 0.53, southeast : 0.47, asia : 0.45, including : 0.54, indonesia : 0.45, manual : 0.6, types : 0.53, ripeness : 0.51, levels : 0.42, remains : 0.6, challenge : 0.43, due : 0.48, to : 0, high : 0, subjectivity : 0.41, time : 0.45, intensive : 0.43, nature : 0.49, process : 0.52, particularly : 0.62, large : 0.52, scale : 0.37, agricultural : 0.49, operations : 0.68, network : 0.5, cnn : 0.48, deep : 0.4, learning : 0.73, approach : 0.51, offers : 0.51, significant : 0.46, potential : 0.63, automating : 0.52, improving : 0.53, accuracy : 0.45, tasks : 0.43, by : 0, extracting : 0.6, complex : 0.5, visual : 0.42, features : 0.45, such : 0, as : 0.53, color : 0.43, texture : 0.5, this : 0, study : 0, employs : 0.33, slr : 0.48, evaluate : 0.56, relevant : 0.55, research : 0.45, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.48, identify : 0.56, trends : 0.49, utilizing : 0.31, purpose : 0.55, results : 0.33, demonstrate : 0.41, that : 0.45, achieves : 0.39, superior : 0.63, 90 : 0, compared : 0.45, traditional : 0.58, methods : 0.41, like : 0.45, k : 0, nearest : 0.47, neighbor : 0.41, knn : 0.48, however : 0.5, limitations : 0.36, include : 0.41, restricted : 0.42, dataset : 0.33, diversity : 0.54, insufficient : 0.52, testing : 0.47, under : 0.47, real : 0.57, world : 0.43, conditions : 0.53, recommendations : 0.56, emphasize : 0.53, need : 0.45, larger : 0.49, more : 0.4, diverse : 0.5, datasets : 0.32, integration : 0.6, additional : 0.52, media : 0.52, spectral : 0.63, data : 0.45, video : 0.43, enhance : 0.47, model : 0.43, robustness : 0.47 |
| 107. 3 | 130 words | 0 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0, compared : 0, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 108. ditawarkan | 130 words | 0.75 | systematic : 0.47, literature : 0.52, review : 0.51, on : 0, the : 0.48, application : 0.5, of : 0, convolutional : 0.4, neural : 0.34, networks : 0.63, for : 0.48, rambutan : 0.55, fruit : 0.53, classification : 0.48, advances : 0.45, challenges : 0.47, and : 0.46, future : 0.51, directions : 0.68, nephelium : 0, lappaceum : 0.47, l : 0, is : 0.53, a : 0.7, tropical : 0.45, widely : 0.49, cultivated : 0.42, in : 0.53, southeast : 0.47, asia : 0.57, including : 0.47, indonesia : 0.43, manual : 0.51, types : 0.43, ripeness : 0.41, levels : 0, remains : 0.47, challenge : 0.47, due : 0.53, to : 0.53, high : 0.45, subjectivity : 0.39, time : 0.4, intensive : 0.47, nature : 0.49, process : 0, particularly : 0.47, large : 0.53, scale : 0.43, agricultural : 0.47, operations : 0.52, network : 0.66, cnn : 0, deep : 0.51, learning : 0.51, approach : 0.45, offers : 0.42, significant : 0.52, potential : 0.47, automating : 0.52, improving : 0.54, accuracy : 0.45, tasks : 0.63, by : 0, extracting : 0.52, complex : 0, visual : 0.51, features : 0.45, such : 0, as : 0.53, color : 0.43, texture : 0.5, this : 0.4, study : 0.37, employs : 0, slr : 0.48, evaluate : 0.45, relevant : 0.48, research : 0.48, from : 0, 2019 : 0, 2024 : 0, was : 0.46, analyzed : 0.48, identify : 0.45, trends : 0.34, utilizing : 0.43, purpose : 0.41, results : 0.41, demonstrate : 0.55, that : 0.57, achieves : 0.32, superior : 0.32, 90 : 0, compared : 0.48, traditional : 0.55, methods : 0.41, like : 0.45, k : 0, nearest : 0.41, neighbor : 0.48, knn : 0, however : 0.5, limitations : 0.59, include : 0.41, restricted : 0.37, dataset : 0.62, diversity : 0.64, insufficient : 0.46, testing : 0.47, under : 0.53, real : 0.45, world : 0.47, conditions : 0.6, recommendations : 0.33, emphasize : 0.4, need : 0.45, larger : 0.51, more : 0.45, diverse : 0.66, datasets : 0.6, integration : 0.58, additional : 0.57, media : 0.63, spectral : 0.45, data : 0.75, video : 0.37, enhance : 0.41, model : 0.43, robustness : 0.47 |
| 109. keadaan | 130 words | 0.74 | systematic : 0.5, literature : 0.5, review : 0.44, on : 0, the : 0.49, application : 0.57, of : 0, convolutional : 0.41, neural : 0.54, networks : 0.42, for : 0, rambutan : 0.6, fruit : 0, classification : 0.48, advances : 0.69, challenges : 0.47, and : 0.65, future : 0, directions : 0.47, nephelium : 0.42, lappaceum : 0.5, l : 0, is : 0, a : 0.71, tropical : 0.42, widely : 0.37, cultivated : 0.41, in : 0, southeast : 0.42, asia : 0.6, including : 0.5, indonesia : 0.48, manual : 0.54, types : 0.45, ripeness : 0.51, levels : 0.44, remains : 0.62, challenge : 0.5, due : 0.49, to : 0, high : 0, subjectivity : 0.41, time : 0.46, intensive : 0.5, nature : 0.44, process : 0, particularly : 0.48, large : 0.45, scale : 0.45, agricultural : 0.48, operations : 0.58, network : 0.43, cnn : 0, deep : 0.46, learning : 0.6, approach : 0.51, offers : 0.44, significant : 0.32, potential : 0.48, automating : 0.58, improving : 0.42, accuracy : 0.51, tasks : 0.45, by : 0, extracting : 0.58, complex : 0, visual : 0.44, features : 0.51, such : 0, as : 0.55, color : 0, texture : 0.43, this : 0, study : 0.45, employs : 0.43, slr : 0, evaluate : 0.6, relevant : 0.6, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.51, identify : 0.49, trends : 0.54, utilizing : 0.42, purpose : 0, results : 0.43, demonstrate : 0.48, that : 0.46, achieves : 0.35, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.56, methods : 0.52, like : 0.6, k : 0.74, nearest : 0.52, neighbor : 0.42, knn : 0.54, however : 0.43, limitations : 0.49, include : 0.43, restricted : 0.41, dataset : 0.52, diversity : 0.34, insufficient : 0.41, testing : 0.52, under : 0.4, real : 0.6, world : 0.45, conditions : 0.33, recommendations : 0.49, emphasize : 0.5, need : 0.6, larger : 0.44, more : 0.46, diverse : 0.43, datasets : 0.49, integration : 0.57, additional : 0.57, media : 0.57, spectral : 0.51, data : 0.6, video : 0.4, enhance : 0.62, model : 0.4, robustness : 0.41 |
| 110. normal | 130 words | 0.8 | systematic : 0.51, literature : 0.51, review : 0.44, on : 0.61, the : 0, application : 0.51, of : 0.56, convolutional : 0.47, neural : 0.8, networks : 0.66, for : 0.67, rambutan : 0.51, fruit : 0.46, classification : 0.33, advances : 0.43, challenges : 0.51, and : 0.5, future : 0.44, directions : 0.42, nephelium : 0.57, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.64, widely : 0.44, cultivated : 0.34, in : 0.56, southeast : 0.52, asia : 0.47, including : 0.52, indonesia : 0.52, manual : 0.67, types : 0, ripeness : 0.43, levels : 0.44, remains : 0.64, challenge : 0.52, due : 0, to : 0.56, high : 0, subjectivity : 0, time : 0.47, intensive : 0.43, nature : 0.6, process : 0.37, particularly : 0.47, large : 0.46, scale : 0.58, agricultural : 0.47, operations : 0.6, network : 0.49, cnn : 0.5, deep : 0, learning : 0.36, approach : 0.51, offers : 0.56, significant : 0.51, potential : 0.61, automating : 0.43, improving : 0.5, accuracy : 0.53, tasks : 0, by : 0, extracting : 0.51, complex : 0.64, visual : 0.56, features : 0.36, such : 0, as : 0, color : 0.58, texture : 0, this : 0, study : 0, employs : 0.54, slr : 0.5, evaluate : 0.53, relevant : 0.51, research : 0.53, from : 0.64, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.63, identify : 0.43, trends : 0.44, utilizing : 0.43, purpose : 0.44, results : 0.54, demonstrate : 0.59, that : 0.47, achieves : 0, superior : 0.43, 90 : 0, compared : 0.6, traditional : 0.51, methods : 0, like : 0, k : 0, nearest : 0.58, neighbor : 0.49, knn : 0.5, however : 0.44, limitations : 0.51, include : 0.54, restricted : 0.42, dataset : 0.44, diversity : 0.43, insufficient : 0.42, testing : 0, under : 0.58, real : 0.75, world : 0.7, conditions : 0.34, recommendations : 0.56, emphasize : 0.52, need : 0.52, larger : 0.44, more : 0.61, diverse : 0.44, datasets : 0.43, integration : 0.59, additional : 0.51, media : 0.46, spectral : 0.63, data : 0.47, video : 0, enhance : 0.54, model : 0.58, robustness : 0.34 |
| 111. 4 | 130 words | 0 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0, compared : 0, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 112. agar | 130 words | 0.78 | systematic : 0.45, literature : 0.4, review : 0, on : 0, the : 0, application : 0.6, of : 0, convolutional : 0, neural : 0.44, networks : 0.46, for : 0.53, rambutan : 0.42, fruit : 0, classification : 0.44, advances : 0.63, challenges : 0.45, and : 0.58, future : 0.47, directions : 0.45, nephelium : 0, lappaceum : 0.57, l : 0, is : 0, a : 0.78, tropical : 0.46, widely : 0, cultivated : 0.45, in : 0, southeast : 0, asia : 0.7, including : 0, indonesia : 0, manual : 0.61, types : 0, ripeness : 0.46, levels : 0, remains : 0.46, challenge : 0.45, due : 0, to : 0, high : 0.5, subjectivity : 0, time : 0, intensive : 0, nature : 0.61, process : 0.46, particularly : 0.56, large : 0.63, scale : 0.48, agricultural : 0.73, operations : 0.4, network : 0.46, cnn : 0, deep : 0, learning : 0.58, approach : 0.64, offers : 0.47, significant : 0.45, potential : 0, automating : 0.61, improving : 0.45, accuracy : 0.64, tasks : 0.48, by : 0, extracting : 0.4, complex : 0, visual : 0.47, features : 0.58, such : 0, as : 0.63, color : 0.48, texture : 0.46, this : 0, study : 0, employs : 0, slr : 0.53, evaluate : 0.58, relevant : 0.42, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.63, identify : 0, trends : 0.47, utilizing : 0, purpose : 0.46, results : 0, demonstrate : 0.45, that : 0.5, achieves : 0.51, superior : 0.46, 90 : 0, compared : 0.58, traditional : 0.39, methods : 0, like : 0, k : 0, nearest : 0.6, neighbor : 0.46, knn : 0, however : 0, limitations : 0.45, include : 0, restricted : 0.45, dataset : 0.6, diversity : 0.45, insufficient : 0, testing : 0, under : 0.48, real : 0.5, world : 0.48, conditions : 0, recommendations : 0.44, emphasize : 0.45, need : 0, larger : 0.64, more : 0.5, diverse : 0.46, datasets : 0.58, integration : 0.56, additional : 0.51, media : 0, spectral : 0.46, data : 0.67, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 113. melanggar | 130 words | 0.72 | systematic : 0.47, literature : 0.45, review : 0.43, on : 0.54, the : 0.48, application : 0.42, of : 0, convolutional : 0.41, neural : 0.5, networks : 0.49, for : 0, rambutan : 0.48, fruit : 0, classification : 0.52, advances : 0.49, challenges : 0.62, and : 0.63, future : 0, directions : 0.47, nephelium : 0.48, lappaceum : 0.56, l : 0.7, is : 0, a : 0.7, tropical : 0.41, widely : 0.52, cultivated : 0.47, in : 0.54, southeast : 0.41, asia : 0.45, including : 0.44, indonesia : 0.48, manual : 0.7, types : 0.44, ripeness : 0.49, levels : 0.35, remains : 0.59, challenge : 0.55, due : 0.48, to : 0, high : 0.45, subjectivity : 0.4, time : 0.57, intensive : 0.31, nature : 0.43, process : 0.42, particularly : 0.51, large : 0.58, scale : 0.53, agricultural : 0.49, operations : 0.54, network : 0.5, cnn : 0.48, deep : 0.45, learning : 0.66, approach : 0.49, offers : 0.43, significant : 0.42, potential : 0.56, automating : 0.52, improving : 0.56, accuracy : 0.49, tasks : 0.44, by : 0, extracting : 0.61, complex : 0.5, visual : 0.35, features : 0.57, such : 0, as : 0.54, color : 0.44, texture : 0.5, this : 0, study : 0, employs : 0.48, slr : 0.48, evaluate : 0.56, relevant : 0.65, research : 0.57, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.4, identify : 0.49, trends : 0.52, utilizing : 0.56, purpose : 0, results : 0.5, demonstrate : 0.54, that : 0.45, achieves : 0.32, superior : 0.49, 90 : 0, compared : 0.57, traditional : 0.54, methods : 0.6, like : 0.41, k : 0, nearest : 0.5, neighbor : 0.57, knn : 0.48, however : 0.5, limitations : 0.42, include : 0.34, restricted : 0.47, dataset : 0.42, diversity : 0.41, insufficient : 0.4, testing : 0.59, under : 0.37, real : 0.58, world : 0.44, conditions : 0.4, recommendations : 0.4, emphasize : 0.44, need : 0.45, larger : 0.66, more : 0.62, diverse : 0.42, datasets : 0.41, integration : 0.5, additional : 0.54, media : 0.72, spectral : 0.46, data : 0.45, video : 0.44, enhance : 0.48, model : 0.68, robustness : 0.4 |
| 114. mengubah | 130 words | 0.75 | systematic : 0.48, literature : 0.45, review : 0.43, on : 0.54, the : 0.49, application : 0.41, of : 0, convolutional : 0.54, neural : 0.64, networks : 0.33, for : 0, rambutan : 0.58, fruit : 0.44, classification : 0.4, advances : 0.33, challenges : 0.47, and : 0.49, future : 0.43, directions : 0.41, nephelium : 0.46, lappaceum : 0.32, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0.43, cultivated : 0.48, in : 0.54, southeast : 0.46, asia : 0.46, including : 0.49, indonesia : 0.49, manual : 0.75, types : 0.44, ripeness : 0.5, levels : 0.43, remains : 0.52, challenge : 0, due : 0.47, to : 0, high : 0.46, subjectivity : 0.38, time : 0.58, intensive : 0.32, nature : 0.53, process : 0.42, particularly : 0.31, large : 0.38, scale : 0.44, agricultural : 0.54, operations : 0.48, network : 0.35, cnn : 0.49, deep : 0.46, learning : 0.5, approach : 0.5, offers : 0.43, significant : 0.44, potential : 0.57, automating : 0.45, improving : 0.41, accuracy : 0.5, tasks : 0, by : 0, extracting : 0.48, complex : 0.42, visual : 0.53, features : 0.5, such : 0.46, as : 0, color : 0, texture : 0.51, this : 0, study : 0.44, employs : 0.35, slr : 0, evaluate : 0.58, relevant : 0.5, research : 0.58, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.5, trends : 0.53, utilizing : 0, purpose : 0.42, results : 0.51, demonstrate : 0.54, that : 0, achieves : 0.42, superior : 0.33, 90 : 0, compared : 0.5, traditional : 0.41, methods : 0.61, like : 0.46, k : 0, nearest : 0.35, neighbor : 0.62, knn : 0.49, however : 0.42, limitations : 0.48, include : 0.51, restricted : 0.41, dataset : 0.42, diversity : 0.41, insufficient : 0.47, testing : 0.6, under : 0.38, real : 0.46, world : 0, conditions : 0.41, recommendations : 0.51, emphasize : 0.46, need : 0.42, larger : 0.36, more : 0.63, diverse : 0.42, datasets : 0.42, integration : 0.54, additional : 0.41, media : 0.73, spectral : 0.5, data : 0.46, video : 0.44, enhance : 0.6, model : 0.6, robustness : 0.45 |
| 115. manual | 130 words | 1 | systematic : 0.42, literature : 0.51, review : 0, on : 0.56, the : 0, application : 0.48, of : 0, convolutional : 0.47, neural : 0.78, networks : 0.43, for : 0, rambutan : 0.64, fruit : 0.46, classification : 0.46, advances : 0.51, challenges : 0.49, and : 0.67, future : 0.44, directions : 0, nephelium : 0.52, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.53, widely : 0.44, cultivated : 0.49, in : 0.56, southeast : 0.52, asia : 0.61, including : 0.5, indonesia : 0.43, manual : 1, types : 0, ripeness : 0.43, levels : 0.44, remains : 0.54, challenge : 0.52, due : 0.5, to : 0, high : 0, subjectivity : 0.42, time : 0.47, intensive : 0.43, nature : 0.56, process : 0, particularly : 0.58, large : 0.46, scale : 0.58, agricultural : 0.58, operations : 0.42, network : 0.44, cnn : 0.5, deep : 0, learning : 0.53, approach : 0.53, offers : 0, significant : 0.51, potential : 0.61, automating : 0.56, improving : 0.43, accuracy : 0.63, tasks : 0.46, by : 0, extracting : 0.42, complex : 0.54, visual : 0.67, features : 0.53, such : 0.47, as : 0.56, color : 0, texture : 0.44, this : 0, study : 0.46, employs : 0.54, slr : 0, evaluate : 0.6, relevant : 0.36, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.72, identify : 0.43, trends : 0.44, utilizing : 0.52, purpose : 0.44, results : 0.54, demonstrate : 0.59, that : 0.47, achieves : 0.43, superior : 0.43, 90 : 0, compared : 0.53, traditional : 0.42, methods : 0.49, like : 0, k : 0, nearest : 0.37, neighbor : 0.43, knn : 0.5, however : 0, limitations : 0.51, include : 0.53, restricted : 0, dataset : 0.54, diversity : 0, insufficient : 0.5, testing : 0, under : 0.46, real : 0.61, world : 0.46, conditions : 0.42, recommendations : 0.57, emphasize : 0.52, need : 0.47, larger : 0.44, more : 0.52, diverse : 0, datasets : 0.53, integration : 0.51, additional : 0.6, media : 0.62, spectral : 0.53, data : 0.61, video : 0, enhance : 0.37, model : 0.62, robustness : 0.34 |
| 116. menjadi | 130 words | 0.74 | systematic : 0.58, literature : 0.5, review : 0.44, on : 0.55, the : 0.49, application : 0.49, of : 0, convolutional : 0.48, neural : 0.53, networks : 0.35, for : 0, rambutan : 0.35, fruit : 0, classification : 0.48, advances : 0.35, challenges : 0.41, and : 0.49, future : 0, directions : 0.5, nephelium : 0.48, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.35, widely : 0.44, cultivated : 0.41, in : 0.55, southeast : 0.42, asia : 0.46, including : 0.59, indonesia : 0.59, manual : 0.68, types : 0.45, ripeness : 0.51, levels : 0.44, remains : 0.63, challenge : 0.42, due : 0.49, to : 0, high : 0, subjectivity : 0.45, time : 0.6, intensive : 0.48, nature : 0.44, process : 0, particularly : 0.48, large : 0, scale : 0.45, agricultural : 0.48, operations : 0.58, network : 0.36, cnn : 0.49, deep : 0.46, learning : 0.61, approach : 0.42, offers : 0.44, significant : 0.46, potential : 0.59, automating : 0.47, improving : 0.5, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.58, complex : 0.43, visual : 0.44, features : 0.51, such : 0, as : 0, color : 0, texture : 0.43, this : 0, study : 0.45, employs : 0.36, slr : 0, evaluate : 0.51, relevant : 0.51, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.6, identify : 0.6, trends : 0.64, utilizing : 0.42, purpose : 0, results : 0.43, demonstrate : 0.56, that : 0.46, achieves : 0.35, superior : 0.51, 90 : 0, compared : 0.6, traditional : 0.57, methods : 0.7, like : 0.46, k : 0, nearest : 0.51, neighbor : 0.35, knn : 0.49, however : 0.43, limitations : 0.46, include : 0.52, restricted : 0.47, dataset : 0.43, diversity : 0.5, insufficient : 0.48, testing : 0.52, under : 0.4, real : 0.6, world : 0.45, conditions : 0.58, recommendations : 0.64, emphasize : 0.59, need : 0.62, larger : 0, more : 0.64, diverse : 0.43, datasets : 0.42, integration : 0.56, additional : 0.58, media : 0.74, spectral : 0.51, data : 0.46, video : 0.45, enhance : 0.62, model : 0.61, robustness : 0.41 |
| 117. sebelumnya | 130 words | 0.7 | systematic : 0.64, literature : 0.43, review : 0.51, on : 0, the : 0.48, application : 0.41, of : 0, convolutional : 0.44, neural : 0.49, networks : 0.41, for : 0, rambutan : 0.54, fruit : 0.43, classification : 0.4, advances : 0.32, challenges : 0.42, and : 0, future : 0.34, directions : 0.47, nephelium : 0.69, lappaceum : 0.53, l : 0.7, is : 0.53, a : 0, tropical : 0.32, widely : 0.6, cultivated : 0.42, in : 0, southeast : 0.58, asia : 0.45, including : 0.54, indonesia : 0.43, manual : 0.34, types : 0.37, ripeness : 0.45, levels : 0.49, remains : 0.58, challenge : 0.43, due : 0.46, to : 0, high : 0, subjectivity : 0.62, time : 0.4, intensive : 0.47, nature : 0.34, process : 0.41, particularly : 0.41, large : 0.37, scale : 0.57, agricultural : 0.41, operations : 0.47, network : 0.41, cnn : 0, deep : 0.57, learning : 0.45, approach : 0.41, offers : 0.42, significant : 0.57, potential : 0.49, automating : 0.52, improving : 0.4, accuracy : 0.45, tasks : 0.43, by : 0.53, extracting : 0.47, complex : 0.47, visual : 0.49, features : 0.45, such : 0.61, as : 0.53, color : 0.43, texture : 0.47, this : 0.45, study : 0.67, employs : 0.58, slr : 0.66, evaluate : 0.58, relevant : 0.58, research : 0.45, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.39, identify : 0.56, trends : 0.51, utilizing : 0.47, purpose : 0.33, results : 0.49, demonstrate : 0.59, that : 0, achieves : 0.48, superior : 0.5, 90 : 0, compared : 0.32, traditional : 0.46, methods : 0.41, like : 0.4, k : 0, nearest : 0.5, neighbor : 0.48, knn : 0, however : 0.5, limitations : 0.5, include : 0.41, restricted : 0.3, dataset : 0.5, diversity : 0.47, insufficient : 0.52, testing : 0.47, under : 0.43, real : 0.57, world : 0.43, conditions : 0.4, recommendations : 0.54, emphasize : 0.4, need : 0.57, larger : 0.34, more : 0.45, diverse : 0.5, datasets : 0.48, integration : 0.41, additional : 0.47, media : 0.43, spectral : 0.6, data : 0, video : 0.43, enhance : 0.47, model : 0.53, robustness : 0.5 |
| 118. secara | 130 words | 0.78 | systematic : 0.64, literature : 0.49, review : 0.44, on : 0, the : 0.5, application : 0.48, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.53, for : 0.5, rambutan : 0.53, fruit : 0, classification : 0.53, advances : 0.51, challenges : 0.43, and : 0, future : 0.44, directions : 0.43, nephelium : 0.43, lappaceum : 0.5, l : 0, is : 0.56, a : 0, tropical : 0.46, widely : 0.44, cultivated : 0.51, in : 0, southeast : 0.57, asia : 0.61, including : 0.43, indonesia : 0.43, manual : 0.56, types : 0.46, ripeness : 0.43, levels : 0.44, remains : 0.54, challenge : 0.52, due : 0.5, to : 0, high : 0, subjectivity : 0.63, time : 0.47, intensive : 0.43, nature : 0.56, process : 0.44, particularly : 0.54, large : 0.58, scale : 0.73, agricultural : 0.54, operations : 0.49, network : 0.54, cnn : 0.5, deep : 0.47, learning : 0.63, approach : 0.63, offers : 0.56, significant : 0.55, potential : 0.52, automating : 0.51, improving : 0.43, accuracy : 0.64, tasks : 0.41, by : 0, extracting : 0.61, complex : 0.44, visual : 0.56, features : 0.63, such : 0.65, as : 0.56, color : 0.58, texture : 0.54, this : 0, study : 0.51, employs : 0.44, slr : 0.7, evaluate : 0.63, relevant : 0.53, research : 0.64, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.53, identify : 0.43, trends : 0.44, utilizing : 0, purpose : 0.44, results : 0.37, demonstrate : 0.59, that : 0.47, achieves : 0.51, superior : 0.66, 90 : 0, compared : 0.63, traditional : 0.48, methods : 0.44, like : 0.47, k : 0, nearest : 0.64, neighbor : 0.53, knn : 0, however : 0.54, limitations : 0.42, include : 0.44, restricted : 0.56, dataset : 0.54, diversity : 0.52, insufficient : 0.5, testing : 0.37, under : 0.58, real : 0.61, world : 0.46, conditions : 0.42, recommendations : 0.48, emphasize : 0.52, need : 0.47, larger : 0.56, more : 0.44, diverse : 0.54, datasets : 0.53, integration : 0.48, additional : 0.51, media : 0.58, spectral : 0.78, data : 0.61, video : 0.46, enhance : 0.54, model : 0.46, robustness : 0.34 |
| 119. pertemuan | 130 words | 0.72 | systematic : 0.53, literature : 0.52, review : 0.5, on : 0, the : 0.46, application : 0.52, of : 0, convolutional : 0.42, neural : 0.61, networks : 0.46, for : 0.48, rambutan : 0.72, fruit : 0.54, classification : 0.46, advances : 0.41, challenges : 0.43, and : 0, future : 0.54, directions : 0.53, nephelium : 0.57, lappaceum : 0.6, l : 0, is : 0, a : 0, tropical : 0.56, widely : 0.43, cultivated : 0.43, in : 0, southeast : 0.56, asia : 0, including : 0.48, indonesia : 0.48, manual : 0.52, types : 0.48, ripeness : 0.52, levels : 0.52, remains : 0.59, challenge : 0.48, due : 0.48, to : 0.54, high : 0, subjectivity : 0.36, time : 0.53, intensive : 0.31, nature : 0.54, process : 0.53, particularly : 0.69, large : 0.37, scale : 0.44, agricultural : 0.51, operations : 0.7, network : 0.48, cnn : 0, deep : 0.58, learning : 0.57, approach : 0.57, offers : 0.52, significant : 0.47, potential : 0.59, automating : 0.61, improving : 0.56, accuracy : 0.46, tasks : 0.44, by : 0, extracting : 0.62, complex : 0.42, visual : 0.52, features : 0.59, such : 0, as : 0, color : 0.44, texture : 0.59, this : 0.45, study : 0.44, employs : 0.34, slr : 0.48, evaluate : 0.59, relevant : 0.66, research : 0.56, from : 0.57, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.49, trends : 0.5, utilizing : 0.48, purpose : 0.63, results : 0.51, demonstrate : 0.54, that : 0.45, achieves : 0.49, superior : 0.57, 90 : 0, compared : 0.56, traditional : 0.44, methods : 0.5, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.41, knn : 0, however : 0.5, limitations : 0.52, include : 0.34, restricted : 0.53, dataset : 0.5, diversity : 0.48, insufficient : 0.42, testing : 0.48, under : 0.54, real : 0.41, world : 0.44, conditions : 0.47, recommendations : 0.52, emphasize : 0.44, need : 0.57, larger : 0.35, more : 0.41, diverse : 0.59, datasets : 0.49, integration : 0.57, additional : 0.43, media : 0.54, spectral : 0.66, data : 0.45, video : 0.44, enhance : 0.5, model : 0.44, robustness : 0.55 |
| 120. fisik | 130 words | 0.8 | systematic : 0.43, literature : 0.43, review : 0.46, on : 0, the : 0, application : 0.43, of : 0.57, convolutional : 0.43, neural : 0, networks : 0.44, for : 0.56, rambutan : 0, fruit : 0.64, classification : 0.61, advances : 0, challenges : 0, and : 0, future : 0.51, directions : 0.53, nephelium : 0.44, lappaceum : 0, l : 0, is : 0.8, a : 0, tropical : 0.44, widely : 0.46, cultivated : 0.43, in : 0.57, southeast : 0.44, asia : 0.47, including : 0.54, indonesia : 0.44, manual : 0, types : 0, ripeness : 0.44, levels : 0, remains : 0.45, challenge : 0, due : 0, to : 0, high : 0.48, subjectivity : 0.52, time : 0.48, intensive : 0.64, nature : 0, process : 0, particularly : 0.43, large : 0, scale : 0, agricultural : 0.43, operations : 0.43, network : 0.45, cnn : 0, deep : 0, learning : 0.44, approach : 0, offers : 0.46, significant : 0.51, potential : 0.44, automating : 0.43, improving : 0.54, accuracy : 0, tasks : 0.6, by : 0, extracting : 0.43, complex : 0, visual : 0.58, features : 0.5, such : 0, as : 0.57, color : 0, texture : 0, this : 0.63, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0.44, from : 0.54, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0, identify : 0.55, trends : 0, utilizing : 0.54, purpose : 0, results : 0.45, demonstrate : 0.43, that : 0, achieves : 0.44, superior : 0.55, 90 : 0, compared : 0, traditional : 0.53, methods : 0, like : 0.48, k : 0, nearest : 0, neighbor : 0.44, knn : 0, however : 0, limitations : 0.53, include : 0.45, restricted : 0.37, dataset : 0.45, diversity : 0.64, insufficient : 0.59, testing : 0.56, under : 0, real : 0, world : 0, conditions : 0.53, recommendations : 0, emphasize : 0.54, need : 0, larger : 0, more : 0, diverse : 0.45, datasets : 0.44, integration : 0.43, additional : 0.53, media : 0.47, spectral : 0.44, data : 0, video : 0.47, enhance : 0, model : 0, robustness : 0.43 |
| 121. setelah | 130 words | 0.74 | systematic : 0.62, literature : 0.57, review : 0.54, on : 0, the : 0.48, application : 0.49, of : 0, convolutional : 0.31, neural : 0.53, networks : 0.51, for : 0, rambutan : 0.51, fruit : 0.45, classification : 0.38, advances : 0.35, challenges : 0.47, and : 0, future : 0.54, directions : 0.5, nephelium : 0.55, lappaceum : 0.34, l : 0, is : 0.55, a : 0, tropical : 0.49, widely : 0.54, cultivated : 0.47, in : 0, southeast : 0.69, asia : 0.6, including : 0.42, indonesia : 0.5, manual : 0.37, types : 0.4, ripeness : 0.51, levels : 0.64, remains : 0.52, challenge : 0.48, due : 0.49, to : 0.55, high : 0, subjectivity : 0.6, time : 0.43, intensive : 0.34, nature : 0.54, process : 0.43, particularly : 0.39, large : 0.45, scale : 0.61, agricultural : 0.45, operations : 0.47, network : 0.52, cnn : 0, deep : 0.6, learning : 0.51, approach : 0.51, offers : 0.44, significant : 0.54, potential : 0.48, automating : 0.5, improving : 0, accuracy : 0.42, tasks : 0.4, by : 0, extracting : 0.58, complex : 0.36, visual : 0.53, features : 0.57, such : 0.52, as : 0.55, color : 0.45, texture : 0.36, this : 0.46, study : 0.61, employs : 0.52, slr : 0.54, evaluate : 0.49, relevant : 0.61, research : 0.71, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.49, identify : 0.51, trends : 0.37, utilizing : 0.5, purpose : 0, results : 0.51, demonstrate : 0.57, that : 0.46, achieves : 0.51, superior : 0.56, 90 : 0, compared : 0.35, traditional : 0.49, methods : 0.52, like : 0.46, k : 0, nearest : 0.52, neighbor : 0.51, knn : 0, however : 0.52, limitations : 0.46, include : 0.43, restricted : 0.47, dataset : 0.51, diversity : 0.42, insufficient : 0.41, testing : 0.51, under : 0.45, real : 0.6, world : 0.45, conditions : 0.41, recommendations : 0.54, emphasize : 0.48, need : 0.6, larger : 0.44, more : 0.46, diverse : 0.43, datasets : 0.49, integration : 0.46, additional : 0.5, media : 0.56, spectral : 0.74, data : 0.6, video : 0.45, enhance : 0.52, model : 0.56, robustness : 0.58 |
| 122. bisa | 130 words | 0.83 | systematic : 0.57, literature : 0.57, review : 0.47, on : 0, the : 0, application : 0.39, of : 0, convolutional : 0, neural : 0.47, networks : 0, for : 0, rambutan : 0.42, fruit : 0, classification : 0.54, advances : 0.46, challenges : 0.45, and : 0, future : 0, directions : 0.45, nephelium : 0, lappaceum : 0.45, l : 0, is : 0.83, a : 0, tropical : 0.58, widely : 0.47, cultivated : 0.57, in : 0.58, southeast : 0.57, asia : 0.72, including : 0.45, indonesia : 0.45, manual : 0.47, types : 0, ripeness : 0.46, levels : 0, remains : 0.46, challenge : 0.45, due : 0, to : 0, high : 0.5, subjectivity : 0.39, time : 0.5, intensive : 0.57, nature : 0.47, process : 0, particularly : 0.39, large : 0, scale : 0.48, agricultural : 0.39, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0.46, approach : 0.46, offers : 0, significant : 0.39, potential : 0, automating : 0.45, improving : 0.45, accuracy : 0.46, tasks : 0.48, by : 0.63, extracting : 0.45, complex : 0, visual : 0.75, features : 0.46, such : 0, as : 0.58, color : 0, texture : 0, this : 0.67, study : 0, employs : 0, slr : 0, evaluate : 0.46, relevant : 0.46, research : 0.58, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.46, identify : 0.46, trends : 0, utilizing : 0.45, purpose : 0, results : 0.46, demonstrate : 0.45, that : 0.5, achieves : 0.42, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.39, methods : 0, like : 0.5, k : 0, nearest : 0.46, neighbor : 0.46, knn : 0, however : 0, limitations : 0.56, include : 0.46, restricted : 0.4, dataset : 0.43, diversity : 0.57, insufficient : 0.56, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0.45, recommendations : 0.44, emphasize : 0.41, need : 0, larger : 0.47, more : 0, diverse : 0.46, datasets : 0.42, integration : 0.56, additional : 0.4, media : 0.48, spectral : 0.58, data : 0.5, video : 0.48, enhance : 0.46, model : 0, robustness : 0.57 |
| 123. otomatis | 130 words | 0.71 | systematic : 0.71, literature : 0.56, review : 0.43, on : 0.59, the : 0.49, application : 0.44, of : 0.59, convolutional : 0.6, neural : 0.43, networks : 0.58, for : 0.49, rambutan : 0.47, fruit : 0.38, classification : 0.51, advances : 0.5, challenges : 0.48, and : 0, future : 0.43, directions : 0.56, nephelium : 0.41, lappaceum : 0.41, l : 0, is : 0, a : 0, tropical : 0.5, widely : 0, cultivated : 0.51, in : 0, southeast : 0.66, asia : 0.46, including : 0.41, indonesia : 0.46, manual : 0.53, types : 0.55, ripeness : 0.42, levels : 0.43, remains : 0.69, challenge : 0.41, due : 0, to : 0.58, high : 0, subjectivity : 0.43, time : 0.58, intensive : 0.46, nature : 0.36, process : 0.51, particularly : 0.43, large : 0.44, scale : 0.44, agricultural : 0.43, operations : 0.68, network : 0.51, cnn : 0, deep : 0, learning : 0.5, approach : 0.5, offers : 0.58, significant : 0.31, potential : 0.63, automating : 0.7, improving : 0.46, accuracy : 0.42, tasks : 0.66, by : 0, extracting : 0.63, complex : 0.51, visual : 0.43, features : 0.47, such : 0, as : 0, color : 0.55, texture : 0.51, this : 0.46, study : 0.44, employs : 0.49, slr : 0, evaluate : 0.5, relevant : 0.5, research : 0.42, from : 0.58, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.42, identify : 0.5, trends : 0.53, utilizing : 0.49, purpose : 0.51, results : 0.51, demonstrate : 0.56, that : 0.71, achieves : 0.5, superior : 0.42, 90 : 0, compared : 0.58, traditional : 0.54, methods : 0.57, like : 0, k : 0, nearest : 0.49, neighbor : 0, knn : 0, however : 0.42, limitations : 0.63, include : 0, restricted : 0.45, dataset : 0.52, diversity : 0.46, insufficient : 0.31, testing : 0.6, under : 0, real : 0.46, world : 0.44, conditions : 0.55, recommendations : 0.65, emphasize : 0.56, need : 0, larger : 0.43, more : 0.42, diverse : 0.42, datasets : 0.5, integration : 0.62, additional : 0.47, media : 0.55, spectral : 0.5, data : 0.42, video : 0.44, enhance : 0.42, model : 0.38, robustness : 0.45 |
| 124. proses | 130 words | 0.93 | systematic : 0.49, literature : 0.34, review : 0.56, on : 0.56, the : 0.5, application : 0.42, of : 0.56, convolutional : 0.41, neural : 0.44, networks : 0.51, for : 0.5, rambutan : 0.43, fruit : 0.46, classification : 0.49, advances : 0.53, challenges : 0.51, and : 0, future : 0.44, directions : 0.6, nephelium : 0.35, lappaceum : 0.52, l : 0, is : 0.56, a : 0, tropical : 0.46, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.62, asia : 0.47, including : 0, indonesia : 0.5, manual : 0, types : 0.59, ripeness : 0.69, levels : 0.39, remains : 0.54, challenge : 0.43, due : 0.5, to : 0.56, high : 0, subjectivity : 0.5, time : 0.47, intensive : 0.35, nature : 0.44, process : 0.93, particularly : 0.55, large : 0.58, scale : 0.46, agricultural : 0.42, operations : 0.64, network : 0.44, cnn : 0, deep : 0.47, learning : 0.36, approach : 0.63, offers : 0.56, significant : 0.42, potential : 0.65, automating : 0.42, improving : 0.61, accuracy : 0.43, tasks : 0.58, by : 0, extracting : 0.34, complex : 0.54, visual : 0.44, features : 0.53, such : 0, as : 0.56, color : 0.46, texture : 0.44, this : 0.47, study : 0, employs : 0.64, slr : 0.5, evaluate : 0.43, relevant : 0.53, research : 0.51, from : 0.61, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.43, trends : 0.56, utilizing : 0, purpose : 0.86, results : 0.64, demonstrate : 0.42, that : 0, achieves : 0.53, superior : 0.56, 90 : 0, compared : 0.51, traditional : 0.42, methods : 0.54, like : 0.47, k : 0, nearest : 0.53, neighbor : 0.43, knn : 0, however : 0.54, limitations : 0, include : 0.44, restricted : 0.49, dataset : 0.54, diversity : 0.44, insufficient : 0.5, testing : 0.44, under : 0.46, real : 0.47, world : 0.41, conditions : 0.51, recommendations : 0.46, emphasize : 0.52, need : 0.47, larger : 0.56, more : 0.64, diverse : 0.37, datasets : 0.63, integration : 0.34, additional : 0.42, media : 0, spectral : 0.51, data : 0, video : 0.41, enhance : 0.44, model : 0.58, robustness : 0.78 |
| 125. pencarian | 130 words | 0.72 | systematic : 0.54, literature : 0.43, review : 0.52, on : 0.54, the : 0.48, application : 0.63, of : 0, convolutional : 0.51, neural : 0.54, networks : 0.46, for : 0.48, rambutan : 0.57, fruit : 0.44, classification : 0.64, advances : 0.4, challenges : 0.45, and : 0.48, future : 0.43, directions : 0.59, nephelium : 0.55, lappaceum : 0.5, l : 0, is : 0, a : 0, tropical : 0.52, widely : 0.43, cultivated : 0.43, in : 0.54, southeast : 0.41, asia : 0.45, including : 0.63, indonesia : 0.56, manual : 0.5, types : 0.54, ripeness : 0.57, levels : 0.43, remains : 0.55, challenge : 0.56, due : 0.48, to : 0, high : 0, subjectivity : 0.53, time : 0.45, intensive : 0.44, nature : 0.61, process : 0.53, particularly : 0.65, large : 0.48, scale : 0.48, agricultural : 0.52, operations : 0.7, network : 0.48, cnn : 0.46, deep : 0.41, learning : 0.72, approach : 0.56, offers : 0.52, significant : 0.57, potential : 0.67, automating : 0.53, improving : 0.63, accuracy : 0.46, tasks : 0.44, by : 0, extracting : 0.7, complex : 0.34, visual : 0.43, features : 0.57, such : 0.45, as : 0, color : 0.54, texture : 0.5, this : 0, study : 0, employs : 0.34, slr : 0.48, evaluate : 0.57, relevant : 0.57, research : 0.52, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.49, identify : 0.57, trends : 0.52, utilizing : 0.48, purpose : 0.55, results : 0.42, demonstrate : 0.52, that : 0.45, achieves : 0.4, superior : 0.65, 90 : 0, compared : 0.56, traditional : 0.54, methods : 0.42, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.46, knn : 0.48, however : 0.5, limitations : 0.42, include : 0.5, restricted : 0.49, dataset : 0.42, diversity : 0.56, insufficient : 0.51, testing : 0.48, under : 0.53, real : 0.57, world : 0.44, conditions : 0.53, recommendations : 0.65, emphasize : 0.55, need : 0.41, larger : 0.44, more : 0.41, diverse : 0.5, datasets : 0.41, integration : 0.63, additional : 0.53, media : 0.53, spectral : 0.66, data : 0.45, video : 0.44, enhance : 0.59, model : 0.44, robustness : 0.4 |
| 126. pemesanan | 130 words | 0.66 | systematic : 0.49, literature : 0.47, review : 0.52, on : 0, the : 0.48, application : 0.54, of : 0, convolutional : 0.41, neural : 0.52, networks : 0.49, for : 0, rambutan : 0.57, fruit : 0, classification : 0.49, advances : 0.48, challenges : 0.43, and : 0, future : 0.43, directions : 0.47, nephelium : 0.44, lappaceum : 0.44, l : 0, is : 0.54, a : 0, tropical : 0.49, widely : 0.43, cultivated : 0.4, in : 0, southeast : 0.44, asia : 0.57, including : 0.41, indonesia : 0.46, manual : 0.52, types : 0.64, ripeness : 0.63, levels : 0.61, remains : 0.66, challenge : 0.44, due : 0.48, to : 0, high : 0, subjectivity : 0.3, time : 0.41, intensive : 0.44, nature : 0.43, process : 0.63, particularly : 0.58, large : 0.44, scale : 0.37, agricultural : 0.46, operations : 0.61, network : 0.42, cnn : 0, deep : 0.58, learning : 0.65, approach : 0.49, offers : 0.52, significant : 0.52, potential : 0.59, automating : 0.54, improving : 0.44, accuracy : 0.41, tasks : 0.44, by : 0, extracting : 0.54, complex : 0.48, visual : 0.52, features : 0.52, such : 0, as : 0.54, color : 0, texture : 0.5, this : 0.45, study : 0, employs : 0.55, slr : 0, evaluate : 0.57, relevant : 0.65, research : 0.56, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.32, identify : 0.49, trends : 0.5, utilizing : 0.41, purpose : 0.53, results : 0.5, demonstrate : 0.57, that : 0.45, achieves : 0.57, superior : 0.49, 90 : 0, compared : 0.48, traditional : 0.54, methods : 0.48, like : 0.45, k : 0, nearest : 0.55, neighbor : 0.41, knn : 0, however : 0.5, limitations : 0.54, include : 0.42, restricted : 0.47, dataset : 0.48, diversity : 0.48, insufficient : 0.42, testing : 0.59, under : 0.44, real : 0.57, world : 0, conditions : 0.47, recommendations : 0.63, emphasize : 0.54, need : 0.57, larger : 0.43, more : 0.41, diverse : 0.48, datasets : 0.46, integration : 0.54, additional : 0.31, media : 0.53, spectral : 0.57, data : 0.45, video : 0.44, enhance : 0.55, model : 0.37, robustness : 0.38 |
| 127. pembayaran | 130 words | 0.73 | systematic : 0.43, literature : 0.42, review : 0.42, on : 0, the : 0.48, application : 0.5, of : 0, convolutional : 0.28, neural : 0.49, networks : 0.48, for : 0, rambutan : 0.61, fruit : 0, classification : 0.5, advances : 0.48, challenges : 0.42, and : 0.48, future : 0.34, directions : 0.47, nephelium : 0.31, lappaceum : 0.43, l : 0, is : 0, a : 0.7, tropical : 0.48, widely : 0.51, cultivated : 0.4, in : 0, southeast : 0.47, asia : 0.57, including : 0.4, indonesia : 0.47, manual : 0.6, types : 0.47, ripeness : 0.48, levels : 0.42, remains : 0.66, challenge : 0.43, due : 0.48, to : 0, high : 0, subjectivity : 0.29, time : 0.4, intensive : 0.4, nature : 0.43, process : 0.55, particularly : 0.55, large : 0.37, scale : 0.37, agricultural : 0.41, operations : 0.6, network : 0.5, cnn : 0, deep : 0.4, learning : 0.63, approach : 0.47, offers : 0.51, significant : 0.46, potential : 0.59, automating : 0.52, improving : 0.53, accuracy : 0.55, tasks : 0.43, by : 0.73, extracting : 0.52, complex : 0.41, visual : 0.42, features : 0.56, such : 0, as : 0.53, color : 0.43, texture : 0.5, this : 0, study : 0.43, employs : 0.53, slr : 0, evaluate : 0.56, relevant : 0.56, research : 0.56, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.45, identify : 0.48, trends : 0.42, utilizing : 0.4, purpose : 0.47, results : 0.41, demonstrate : 0.5, that : 0.45, achieves : 0.32, superior : 0.56, 90 : 0, compared : 0.55, traditional : 0.41, methods : 0.33, like : 0.45, k : 0, nearest : 0.58, neighbor : 0.56, knn : 0, however : 0.5, limitations : 0.52, include : 0, restricted : 0.47, dataset : 0.47, diversity : 0.43, insufficient : 0.39, testing : 0.5, under : 0.53, real : 0.57, world : 0, conditions : 0.4, recommendations : 0.47, emphasize : 0.49, need : 0.45, larger : 0.49, more : 0.4, diverse : 0.5, datasets : 0.45, integration : 0.5, additional : 0.42, media : 0.52, spectral : 0.55, data : 0.57, video : 0.43, enhance : 0.5, model : 0.37, robustness : 0.47 |
| 128. pengiriman | 130 words | 0.74 | systematic : 0.48, literature : 0.52, review : 0.51, on : 0.53, the : 0.48, application : 0.58, of : 0, convolutional : 0.49, neural : 0.61, networks : 0.45, for : 0.48, rambutan : 0.48, fruit : 0.37, classification : 0.48, advances : 0.41, challenges : 0.53, and : 0.48, future : 0.34, directions : 0.57, nephelium : 0.62, lappaceum : 0.43, l : 0, is : 0.53, a : 0, tropical : 0.51, widely : 0.34, cultivated : 0.47, in : 0.57, southeast : 0.47, asia : 0.45, including : 0.53, indonesia : 0.62, manual : 0.51, types : 0.53, ripeness : 0.47, levels : 0.42, remains : 0.47, challenge : 0.54, due : 0.48, to : 0, high : 0.4, subjectivity : 0.52, time : 0.4, intensive : 0.53, nature : 0.43, process : 0.52, particularly : 0.55, large : 0.52, scale : 0.43, agricultural : 0.49, operations : 0.65, network : 0.47, cnn : 0.48, deep : 0.4, learning : 0.67, approach : 0.56, offers : 0.51, significant : 0.66, potential : 0.72, automating : 0.48, improving : 0.62, accuracy : 0.48, tasks : 0, by : 0, extracting : 0.57, complex : 0.5, visual : 0.51, features : 0.48, such : 0, as : 0, color : 0.43, texture : 0.5, this : 0.45, study : 0, employs : 0.33, slr : 0.48, evaluate : 0.48, relevant : 0.45, research : 0.45, from : 0.57, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.51, trends : 0.43, utilizing : 0.54, purpose : 0.55, results : 0.41, demonstrate : 0.59, that : 0, achieves : 0.32, superior : 0.55, 90 : 0, compared : 0.45, traditional : 0.52, methods : 0.41, like : 0.4, k : 0, nearest : 0.47, neighbor : 0.58, knn : 0.48, however : 0.5, limitations : 0.59, include : 0.33, restricted : 0.42, dataset : 0.41, diversity : 0.53, insufficient : 0.49, testing : 0.53, under : 0.52, real : 0.45, world : 0.43, conditions : 0.6, recommendations : 0.58, emphasize : 0.45, need : 0.4, larger : 0.49, more : 0.4, diverse : 0.47, datasets : 0.41, integration : 0.74, additional : 0.52, media : 0.63, spectral : 0.63, data : 0, video : 0.37, enhance : 0.5, model : 0.43, robustness : 0.4 |
| 129. platform | 130 words | 0.71 | systematic : 0.39, literature : 0.51, review : 0, on : 0, the : 0.49, application : 0.59, of : 0.54, convolutional : 0.37, neural : 0.36, networks : 0.58, for : 0, rambutan : 0.5, fruit : 0.44, classification : 0.53, advances : 0.42, challenges : 0.32, and : 0.49, future : 0.53, directions : 0.39, nephelium : 0.49, lappaceum : 0.52, l : 0.71, is : 0, a : 0.71, tropical : 0.42, widely : 0.43, cultivated : 0.45, in : 0, southeast : 0.41, asia : 0.46, including : 0.41, indonesia : 0.41, manual : 0.43, types : 0.38, ripeness : 0.42, levels : 0.43, remains : 0.42, challenge : 0.32, due : 0, to : 0.54, high : 0, subjectivity : 0.4, time : 0.46, intensive : 0.41, nature : 0.63, process : 0.56, particularly : 0.58, large : 0.55, scale : 0.38, agricultural : 0.44, operations : 0.58, network : 0.6, cnn : 0, deep : 0.46, learning : 0.58, approach : 0.5, offers : 0.53, significant : 0.41, potential : 0.54, automating : 0.63, improving : 0.46, accuracy : 0.5, tasks : 0.38, by : 0, extracting : 0.39, complex : 0.51, visual : 0.43, features : 0.58, such : 0, as : 0.54, color : 0.66, texture : 0.51, this : 0.46, study : 0.44, employs : 0.6, slr : 0.49, evaluate : 0.47, relevant : 0.5, research : 0.5, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.33, identify : 0.5, trends : 0.43, utilizing : 0.32, purpose : 0.56, results : 0.51, demonstrate : 0.44, that : 0.42, achieves : 0.42, superior : 0.47, 90 : 0, compared : 0.58, traditional : 0.44, methods : 0.51, like : 0.46, k : 0, nearest : 0.49, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.54, include : 0.42, restricted : 0.48, dataset : 0.51, diversity : 0.41, insufficient : 0.4, testing : 0.42, under : 0.44, real : 0.42, world : 0.44, conditions : 0.32, recommendations : 0.41, emphasize : 0.49, need : 0, larger : 0.63, more : 0, diverse : 0.42, datasets : 0.5, integration : 0.45, additional : 0.56, media : 0.44, spectral : 0.58, data : 0.58, video : 0.44, enhance : 0.42, model : 0.44, robustness : 0.32 |
| 130. marketplace | 130 words | 0.71 | systematic : 0.5, literature : 0.52, review : 0.51, on : 0, the : 0.47, application : 0.59, of : 0, convolutional : 0.39, neural : 0.59, networks : 0.45, for : 0.47, rambutan : 0.63, fruit : 0.53, classification : 0.47, advances : 0.44, challenges : 0.5, and : 0.47, future : 0.42, directions : 0.52, nephelium : 0.54, lappaceum : 0.54, l : 0, is : 0, a : 0.7, tropical : 0.63, widely : 0.51, cultivated : 0.36, in : 0, southeast : 0.42, asia : 0.45, including : 0.4, indonesia : 0.47, manual : 0.67, types : 0.36, ripeness : 0.44, levels : 0.51, remains : 0.48, challenge : 0.52, due : 0.47, to : 0, high : 0, subjectivity : 0.4, time : 0.56, intensive : 0.42, nature : 0.55, process : 0.49, particularly : 0.6, large : 0.62, scale : 0.51, agricultural : 0.6, operations : 0.5, network : 0.48, cnn : 0, deep : 0.56, learning : 0.38, approach : 0.63, offers : 0.34, significant : 0.29, potential : 0.44, automating : 0.46, improving : 0.42, accuracy : 0.62, tasks : 0.53, by : 0, extracting : 0.52, complex : 0.52, visual : 0.51, features : 0.56, such : 0, as : 0.53, color : 0.43, texture : 0.52, this : 0, study : 0.43, employs : 0.56, slr : 0.47, evaluate : 0.63, relevant : 0.5, research : 0.5, from : 0.39, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.44, identify : 0.48, trends : 0.51, utilizing : 0.47, purpose : 0.46, results : 0.56, demonstrate : 0.57, that : 0.56, achieves : 0.55, superior : 0.44, 90 : 0, compared : 0.56, traditional : 0.5, methods : 0.61, like : 0.56, k : 0.7, nearest : 0.52, neighbor : 0.41, knn : 0.47, however : 0.32, limitations : 0.4, include : 0.32, restricted : 0.65, dataset : 0.46, diversity : 0.42, insufficient : 0.28, testing : 0.49, under : 0.36, real : 0.66, world : 0.53, conditions : 0.4, recommendations : 0.51, emphasize : 0.54, need : 0.45, larger : 0.59, more : 0.71, diverse : 0.46, datasets : 0.44, integration : 0.49, additional : 0.5, media : 0.56, spectral : 0.53, data : 0.56, video : 0.43, enhance : 0.56, model : 0.66, robustness : 0.41 |
| 131. shopee | 130 words | 0.75 | systematic : 0.56, literature : 0.51, review : 0.44, on : 0.56, the : 0.67, application : 0.42, of : 0.56, convolutional : 0.41, neural : 0, networks : 0.36, for : 0.5, rambutan : 0, fruit : 0, classification : 0.41, advances : 0.43, challenges : 0.6, and : 0, future : 0.44, directions : 0.42, nephelium : 0.62, lappaceum : 0.52, l : 0, is : 0.56, a : 0, tropical : 0.53, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.66, asia : 0.47, including : 0, indonesia : 0.52, manual : 0, types : 0.58, ripeness : 0.63, levels : 0.44, remains : 0, challenge : 0.61, due : 0.5, to : 0.56, high : 0.47, subjectivity : 0.55, time : 0.47, intensive : 0.52, nature : 0.44, process : 0.54, particularly : 0.42, large : 0.46, scale : 0.62, agricultural : 0, operations : 0.6, network : 0.44, cnn : 0, deep : 0.44, learning : 0.43, approach : 0.36, offers : 0.56, significant : 0.48, potential : 0.5, automating : 0.42, improving : 0.35, accuracy : 0, tasks : 0.46, by : 0, extracting : 0.42, complex : 0.64, visual : 0.44, features : 0.53, such : 0.65, as : 0.56, color : 0.46, texture : 0.44, this : 0.47, study : 0.51, employs : 0.37, slr : 0.55, evaluate : 0.43, relevant : 0.53, research : 0.51, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.43, trends : 0.44, utilizing : 0, purpose : 0.53, results : 0.44, demonstrate : 0.34, that : 0.47, achieves : 0.63, superior : 0.66, 90 : 0, compared : 0.63, traditional : 0, methods : 0.54, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.36, knn : 0, however : 0.75, limitations : 0, include : 0.44, restricted : 0.49, dataset : 0.44, diversity : 0.43, insufficient : 0.5, testing : 0.44, under : 0.46, real : 0, world : 0.46, conditions : 0.42, recommendations : 0.46, emphasize : 0.5, need : 0.47, larger : 0.44, more : 0.61, diverse : 0.54, datasets : 0.43, integration : 0.42, additional : 0.42, media : 0, spectral : 0.66, data : 0, video : 0.41, enhance : 0.54, model : 0.58, robustness : 0.49 |
| 132. serta | 130 words | 0.83 | systematic : 0.69, literature : 0.61, review : 0.41, on : 0, the : 0.51, application : 0.36, of : 0, convolutional : 0.43, neural : 0.7, networks : 0.55, for : 0.51, rambutan : 0.55, fruit : 0.6, classification : 0.35, advances : 0.44, challenges : 0.37, and : 0, future : 0.41, directions : 0.52, nephelium : 0.44, lappaceum : 0.44, l : 0, is : 0.57, a : 0, tropical : 0.55, widely : 0.46, cultivated : 0.53, in : 0, southeast : 0.68, asia : 0.63, including : 0, indonesia : 0, manual : 0.46, types : 0, ripeness : 0.38, levels : 0.46, remains : 0.57, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.66, time : 0, intensive : 0.37, nature : 0.41, process : 0.45, particularly : 0.45, large : 0.47, scale : 0.52, agricultural : 0.45, operations : 0.65, network : 0.56, cnn : 0, deep : 0.48, learning : 0.55, approach : 0.55, offers : 0.58, significant : 0.57, potential : 0.53, automating : 0.37, improving : 0.44, accuracy : 0.55, tasks : 0, by : 0, extracting : 0.65, complex : 0, visual : 0.58, features : 0.68, such : 0.54, as : 0.57, color : 0, texture : 0.56, this : 0, study : 0.52, employs : 0.45, slr : 0.72, evaluate : 0.55, relevant : 0.55, research : 0.68, from : 0.48, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.55, trends : 0.41, utilizing : 0.44, purpose : 0.45, results : 0.71, demonstrate : 0.62, that : 0.48, achieves : 0.44, superior : 0.69, 90 : 0, compared : 0.38, traditional : 0.51, methods : 0.56, like : 0, k : 0, nearest : 0.57, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.53, include : 0, restricted : 0.65, dataset : 0.56, diversity : 0.54, insufficient : 0.43, testing : 0.57, under : 0, real : 0.48, world : 0.47, conditions : 0.43, recommendations : 0.49, emphasize : 0.54, need : 0.48, larger : 0.46, more : 0.48, diverse : 0.56, datasets : 0.38, integration : 0.6, additional : 0.37, media : 0.6, spectral : 0.83, data : 0.63, video : 0, enhance : 0.56, model : 0, robustness : 0.52 |
| 133. sosial | 130 words | 0.75 | systematic : 0.64, literature : 0.51, review : 0.44, on : 0.56, the : 0, application : 0.42, of : 0.56, convolutional : 0.47, neural : 0.56, networks : 0.43, for : 0.5, rambutan : 0.43, fruit : 0.46, classification : 0.56, advances : 0.43, challenges : 0.51, and : 0, future : 0, directions : 0.42, nephelium : 0.35, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0.72, widely : 0.56, cultivated : 0.43, in : 0, southeast : 0.69, asia : 0.75, including : 0.52, indonesia : 0.35, manual : 0.56, types : 0.46, ripeness : 0.43, levels : 0.44, remains : 0.37, challenge : 0.52, due : 0, to : 0.56, high : 0.47, subjectivity : 0.55, time : 0.47, intensive : 0.35, nature : 0, process : 0.44, particularly : 0.47, large : 0, scale : 0.73, agricultural : 0.47, operations : 0.49, network : 0, cnn : 0, deep : 0, learning : 0.36, approach : 0.53, offers : 0.44, significant : 0.63, potential : 0.7, automating : 0.43, improving : 0.35, accuracy : 0.43, tasks : 0.58, by : 0, extracting : 0.34, complex : 0.54, visual : 0.69, features : 0.43, such : 0.52, as : 0.56, color : 0.46, texture : 0, this : 0.44, study : 0.51, employs : 0.44, slr : 0.55, evaluate : 0.53, relevant : 0.36, research : 0.53, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.53, identify : 0.43, trends : 0, utilizing : 0.52, purpose : 0, results : 0.54, demonstrate : 0.59, that : 0.47, achieves : 0.43, superior : 0.58, 90 : 0, compared : 0.53, traditional : 0.34, methods : 0, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.43, knn : 0, however : 0.44, limitations : 0.51, include : 0.44, restricted : 0.51, dataset : 0.37, diversity : 0.35, insufficient : 0.33, testing : 0.54, under : 0, real : 0.61, world : 0.58, conditions : 0.51, recommendations : 0.49, emphasize : 0.44, need : 0, larger : 0, more : 0.47, diverse : 0.44, datasets : 0.36, integration : 0.51, additional : 0.49, media : 0.58, spectral : 0.66, data : 0.47, video : 0.46, enhance : 0.44, model : 0.58, robustness : 0.34 |
| 134. usaha | 130 words | 0.67 | systematic : 0.53, literature : 0.43, review : 0, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0, neural : 0.58, networks : 0, for : 0, rambutan : 0.55, fruit : 0, classification : 0.49, advances : 0.55, challenges : 0.37, and : 0, future : 0.46, directions : 0, nephelium : 0.44, lappaceum : 0.54, l : 0, is : 0.57, a : 0, tropical : 0.44, widely : 0, cultivated : 0.53, in : 0, southeast : 0.66, asia : 0.63, including : 0, indonesia : 0, manual : 0.58, types : 0, ripeness : 0, levels : 0, remains : 0.45, challenge : 0.37, due : 0.51, to : 0, high : 0.48, subjectivity : 0.36, time : 0, intensive : 0, nature : 0.46, process : 0, particularly : 0.52, large : 0.47, scale : 0.6, agricultural : 0.36, operations : 0.43, network : 0, cnn : 0, deep : 0, learning : 0.44, approach : 0.55, offers : 0, significant : 0.53, potential : 0.44, automating : 0.52, improving : 0, accuracy : 0.55, tasks : 0.43, by : 0, extracting : 0.43, complex : 0, visual : 0.58, features : 0.44, such : 0.67, as : 0.57, color : 0, texture : 0, this : 0, study : 0.47, employs : 0, slr : 0.51, evaluate : 0.55, relevant : 0.44, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0.52, analyzed : 0.55, identify : 0, trends : 0, utilizing : 0.49, purpose : 0.45, results : 0.45, demonstrate : 0.53, that : 0.48, achieves : 0.55, superior : 0.38, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0.45, like : 0, k : 0, nearest : 0.45, neighbor : 0.44, knn : 0, however : 0, limitations : 0.43, include : 0, restricted : 0.43, dataset : 0.56, diversity : 0, insufficient : 0.36, testing : 0.45, under : 0.52, real : 0.48, world : 0, conditions : 0, recommendations : 0.42, emphasize : 0.37, need : 0, larger : 0.46, more : 0, diverse : 0, datasets : 0.55, integration : 0.43, additional : 0.53, media : 0.47, spectral : 0.55, data : 0.63, video : 0, enhance : 0.4, model : 0, robustness : 0.53 |
| 135. kecil | 130 words | 0.76 | systematic : 0.43, literature : 0.52, review : 0.58, on : 0, the : 0.51, application : 0.51, of : 0, convolutional : 0.5, neural : 0.58, networks : 0.44, for : 0, rambutan : 0, fruit : 0.47, classification : 0.49, advances : 0.44, challenges : 0.47, and : 0, future : 0, directions : 0.47, nephelium : 0.53, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0.59, cultivated : 0.52, in : 0, southeast : 0, asia : 0.48, including : 0.53, indonesia : 0.44, manual : 0.46, types : 0, ripeness : 0.38, levels : 0.58, remains : 0.56, challenge : 0.54, due : 0.51, to : 0, high : 0, subjectivity : 0.62, time : 0, intensive : 0.37, nature : 0, process : 0.45, particularly : 0.51, large : 0, scale : 0.6, agricultural : 0.51, operations : 0.53, network : 0.45, cnn : 0, deep : 0.48, learning : 0.55, approach : 0, offers : 0.46, significant : 0.43, potential : 0.54, automating : 0.43, improving : 0.44, accuracy : 0.44, tasks : 0, by : 0, extracting : 0.63, complex : 0.56, visual : 0.58, features : 0.44, such : 0.48, as : 0, color : 0, texture : 0.45, this : 0.48, study : 0, employs : 0.56, slr : 0, evaluate : 0.55, relevant : 0.55, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.38, trends : 0.46, utilizing : 0.54, purpose : 0, results : 0.56, demonstrate : 0.43, that : 0, achieves : 0.49, superior : 0.55, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0.45, like : 0, k : 0.76, nearest : 0.45, neighbor : 0.55, knn : 0.56, however : 0.45, limitations : 0.36, include : 0.56, restricted : 0.52, dataset : 0, diversity : 0.37, insufficient : 0.36, testing : 0.56, under : 0, real : 0.63, world : 0.47, conditions : 0.53, recommendations : 0.51, emphasize : 0.54, need : 0.48, larger : 0, more : 0, diverse : 0.4, datasets : 0, integration : 0.36, additional : 0.43, media : 0.6, spectral : 0.66, data : 0, video : 0, enhance : 0.45, model : 0.47, robustness : 0 |
| 136. bersaing | 130 words | 0.78 | systematic : 0.55, literature : 0.47, review : 0.51, on : 0, the : 0.49, application : 0.55, of : 0, convolutional : 0.3, neural : 0.63, networks : 0.5, for : 0.49, rambutan : 0.54, fruit : 0.55, classification : 0.42, advances : 0.5, challenges : 0.55, and : 0, future : 0.43, directions : 0.55, nephelium : 0.49, lappaceum : 0.41, l : 0, is : 0.54, a : 0, tropical : 0.47, widely : 0.43, cultivated : 0.32, in : 0, southeast : 0.49, asia : 0.6, including : 0.57, indonesia : 0.4, manual : 0.43, types : 0.55, ripeness : 0.5, levels : 0.53, remains : 0.7, challenge : 0.57, due : 0.49, to : 0, high : 0, subjectivity : 0.49, time : 0.46, intensive : 0.52, nature : 0.36, process : 0.49, particularly : 0.43, large : 0.55, scale : 0.49, agricultural : 0.43, operations : 0.71, network : 0.51, cnn : 0, deep : 0.46, learning : 0.72, approach : 0.5, offers : 0.63, significant : 0.5, potential : 0.56, automating : 0.63, improving : 0.65, accuracy : 0.5, tasks : 0.38, by : 0.59, extracting : 0.78, complex : 0, visual : 0.53, features : 0.47, such : 0.46, as : 0.54, color : 0.44, texture : 0.51, this : 0.42, study : 0.44, employs : 0.51, slr : 0.47, evaluate : 0.5, relevant : 0.58, research : 0.58, from : 0.46, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.42, identify : 0.47, trends : 0.56, utilizing : 0.57, purpose : 0.51, results : 0.49, demonstrate : 0.5, that : 0.46, achieves : 0.33, superior : 0.54, 90 : 0, compared : 0.33, traditional : 0.62, methods : 0.51, like : 0.46, k : 0, nearest : 0.57, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.44, include : 0, restricted : 0.55, dataset : 0.35, diversity : 0.65, insufficient : 0.38, testing : 0.78, under : 0.55, real : 0.6, world : 0.44, conditions : 0.32, recommendations : 0.49, emphasize : 0.56, need : 0.46, larger : 0.51, more : 0.42, diverse : 0.6, datasets : 0.33, integration : 0.63, additional : 0.56, media : 0.55, spectral : 0.54, data : 0.46, video : 0.44, enhance : 0.6, model : 0.44, robustness : 0.55 |
| 137. luas | 130 words | 0.78 | systematic : 0.4, literature : 0.61, review : 0, on : 0, the : 0, application : 0.39, of : 0, convolutional : 0.55, neural : 0.61, networks : 0, for : 0, rambutan : 0.42, fruit : 0.48, classification : 0.65, advances : 0.46, challenges : 0.4, and : 0, future : 0.47, directions : 0, nephelium : 0, lappaceum : 0.62, l : 0.78, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0.57, in : 0, southeast : 0.41, asia : 0.5, including : 0.57, indonesia : 0.45, manual : 0.44, types : 0.48, ripeness : 0.46, levels : 0.65, remains : 0.46, challenge : 0.41, due : 0.53, to : 0, high : 0, subjectivity : 0.39, time : 0, intensive : 0.45, nature : 0.44, process : 0.46, particularly : 0.39, large : 0.67, scale : 0.48, agricultural : 0.39, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0.63, approach : 0.46, offers : 0.47, significant : 0.45, potential : 0, automating : 0.4, improving : 0, accuracy : 0.42, tasks : 0.63, by : 0, extracting : 0.45, complex : 0, visual : 0.58, features : 0.42, such : 0.5, as : 0, color : 0, texture : 0, this : 0.5, study : 0.48, employs : 0, slr : 0.53, evaluate : 0.54, relevant : 0.58, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.72, analyzed : 0.42, identify : 0, trends : 0.47, utilizing : 0.41, purpose : 0.6, results : 0.43, demonstrate : 0.45, that : 0.5, achieves : 0.46, superior : 0.42, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0, like : 0.55, k : 0, nearest : 0.6, neighbor : 0, knn : 0, however : 0, limitations : 0.6, include : 0, restricted : 0.45, dataset : 0.6, diversity : 0.45, insufficient : 0.39, testing : 0.46, under : 0.48, real : 0.5, world : 0, conditions : 0, recommendations : 0, emphasize : 0.57, need : 0, larger : 0.65, more : 0, diverse : 0.46, datasets : 0.58, integration : 0.45, additional : 0.45, media : 0, spectral : 0.46, data : 0.5, video : 0, enhance : 0.46, model : 0, robustness : 0.57 |
| 138. berkembang | 130 words | 0.7 | systematic : 0.53, literature : 0.53, review : 0.49, on : 0, the : 0.48, application : 0.46, of : 0, convolutional : 0.28, neural : 0.6, networks : 0.56, for : 0.48, rambutan : 0.61, fruit : 0.43, classification : 0.45, advances : 0.39, challenges : 0.48, and : 0, future : 0.34, directions : 0.42, nephelium : 0.54, lappaceum : 0.38, l : 0, is : 0, a : 0, tropical : 0.48, widely : 0.42, cultivated : 0.3, in : 0, southeast : 0.47, asia : 0.45, including : 0.47, indonesia : 0.38, manual : 0.42, types : 0.43, ripeness : 0.47, levels : 0.51, remains : 0.67, challenge : 0.49, due : 0.48, to : 0, high : 0, subjectivity : 0.46, time : 0.4, intensive : 0.43, nature : 0.34, process : 0.33, particularly : 0.46, large : 0.37, scale : 0.43, agricultural : 0.46, operations : 0.6, network : 0.58, cnn : 0, deep : 0.57, learning : 0.63, approach : 0.48, offers : 0.51, significant : 0.46, potential : 0.43, automating : 0.6, improving : 0.53, accuracy : 0.48, tasks : 0.43, by : 0.58, extracting : 0.67, complex : 0.33, visual : 0.42, features : 0.56, such : 0, as : 0, color : 0.43, texture : 0.58, this : 0, study : 0, employs : 0.5, slr : 0.48, evaluate : 0.45, relevant : 0.64, research : 0.55, from : 0.57, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.41, trends : 0.34, utilizing : 0.47, purpose : 0.5, results : 0.33, demonstrate : 0.5, that : 0, achieves : 0.48, superior : 0.48, 90 : 0, compared : 0.47, traditional : 0.41, methods : 0.41, like : 0.4, k : 0.7, nearest : 0.58, neighbor : 0.48, knn : 0.48, however : 0.47, limitations : 0.52, include : 0.41, restricted : 0.42, dataset : 0.33, diversity : 0.47, insufficient : 0.46, testing : 0.58, under : 0.53, real : 0.4, world : 0.43, conditions : 0.4, recommendations : 0.5, emphasize : 0.49, need : 0.57, larger : 0.34, more : 0.4, diverse : 0.58, datasets : 0.32, integration : 0.59, additional : 0.3, media : 0.53, spectral : 0.56, data : 0.45, video : 0.43, enhance : 0.53, model : 0.43, robustness : 0.43 |
| 139. pesat | 130 words | 0.73 | systematic : 0.57, literature : 0.47, review : 0.46, on : 0, the : 0.51, application : 0.51, of : 0, convolutional : 0.43, neural : 0.58, networks : 0.55, for : 0, rambutan : 0.55, fruit : 0.47, classification : 0.49, advances : 0.44, challenges : 0.37, and : 0, future : 0.46, directions : 0.53, nephelium : 0.37, lappaceum : 0.37, l : 0, is : 0.57, a : 0, tropical : 0.55, widely : 0.46, cultivated : 0.37, in : 0, southeast : 0.53, asia : 0.63, including : 0, indonesia : 0, manual : 0.46, types : 0, ripeness : 0.55, levels : 0.46, remains : 0.56, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.51, time : 0, intensive : 0.48, nature : 0.58, process : 0.5, particularly : 0.66, large : 0, scale : 0.47, agricultural : 0.52, operations : 0.73, network : 0.56, cnn : 0, deep : 0.48, learning : 0.55, approach : 0.38, offers : 0.46, significant : 0.43, potential : 0.58, automating : 0.53, improving : 0.44, accuracy : 0.44, tasks : 0.47, by : 0, extracting : 0.52, complex : 0, visual : 0.58, features : 0.66, such : 0, as : 0.57, color : 0, texture : 0.56, this : 0.48, study : 0, employs : 0.4, slr : 0, evaluate : 0.66, relevant : 0.66, research : 0.66, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.44, identify : 0.55, trends : 0.46, utilizing : 0.44, purpose : 0.5, results : 0.68, demonstrate : 0.62, that : 0.63, achieves : 0.38, superior : 0.49, 90 : 0, compared : 0.55, traditional : 0.36, methods : 0.56, like : 0, k : 0, nearest : 0.68, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.36, include : 0, restricted : 0.63, dataset : 0.51, diversity : 0.64, insufficient : 0.43, testing : 0.68, under : 0, real : 0.63, world : 0, conditions : 0.43, recommendations : 0.6, emphasize : 0.58, need : 0.48, larger : 0.46, more : 0, diverse : 0.45, datasets : 0.49, integration : 0.46, additional : 0.53, media : 0.6, spectral : 0.71, data : 0.48, video : 0, enhance : 0.56, model : 0, robustness : 0.53 |
| 140. ikhsan | 130 words | 0.8 | systematic : 0.51, literature : 0.51, review : 0, on : 0, the : 0.5, application : 0.34, of : 0, convolutional : 0.41, neural : 0.44, networks : 0, for : 0, rambutan : 0.53, fruit : 0, classification : 0.46, advances : 0.53, challenges : 0.6, and : 0, future : 0, directions : 0.51, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0.8, a : 0, tropical : 0.43, widely : 0.44, cultivated : 0.51, in : 0.6, southeast : 0.5, asia : 0.64, including : 0.57, indonesia : 0.55, manual : 0.44, types : 0.46, ripeness : 0.51, levels : 0.44, remains : 0.54, challenge : 0.61, due : 0, to : 0, high : 0.44, subjectivity : 0.42, time : 0.47, intensive : 0.55, nature : 0, process : 0.44, particularly : 0.33, large : 0, scale : 0.46, agricultural : 0.33, operations : 0.51, network : 0, cnn : 0, deep : 0, learning : 0.53, approach : 0.43, offers : 0.44, significant : 0.51, potential : 0.35, automating : 0.51, improving : 0.57, accuracy : 0.43, tasks : 0.41, by : 0, extracting : 0.51, complex : 0, visual : 0.67, features : 0.43, such : 0.47, as : 0.56, color : 0, texture : 0, this : 0.64, study : 0, employs : 0, slr : 0, evaluate : 0.43, relevant : 0.53, research : 0.53, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.58, trends : 0.39, utilizing : 0.52, purpose : 0.44, results : 0.44, demonstrate : 0.42, that : 0.61, achieves : 0.36, superior : 0.43, 90 : 0, compared : 0.43, traditional : 0.48, methods : 0.44, like : 0.61, k : 0.72, nearest : 0.37, neighbor : 0.53, knn : 0.5, however : 0.44, limitations : 0.59, include : 0.49, restricted : 0.42, dataset : 0.37, diversity : 0.52, insufficient : 0.52, testing : 0.54, under : 0, real : 0.47, world : 0, conditions : 0.34, recommendations : 0.32, emphasize : 0.5, need : 0, larger : 0, more : 0, diverse : 0.54, datasets : 0.36, integration : 0.53, additional : 0.49, media : 0.46, spectral : 0.53, data : 0.47, video : 0.46, enhance : 0.64, model : 0, robustness : 0.51 |
| 141. et | 130 words | 0.76 | systematic : 0.57, literature : 0.57, review : 0.56, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0.56, networks : 0.75, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0.56, directions : 0.73, nephelium : 0.54, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.54, widely : 0, cultivated : 0.53, in : 0, southeast : 0.54, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0.57, ripeness : 0.54, levels : 0.56, remains : 0.55, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0.72, time : 0.58, intensive : 0.57, nature : 0.56, process : 0, particularly : 0.53, large : 0, scale : 0, agricultural : 0, operations : 0.73, network : 0.76, cnn : 0, deep : 0.58, learning : 0.54, approach : 0, offers : 0, significant : 0, potential : 0.57, automating : 0.53, improving : 0, accuracy : 0, tasks : 0.57, by : 0, extracting : 0.76, complex : 0, visual : 0, features : 0.75, such : 0, as : 0, color : 0, texture : 0.6, this : 0.58, study : 0.57, employs : 0.59, slr : 0, evaluate : 0.59, relevant : 0.54, research : 0.54, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.75, trends : 0.61, utilizing : 0.54, purpose : 0, results : 0.55, demonstrate : 0.53, that : 0.58, achieves : 0, superior : 0.54, 90 : 0, compared : 0, traditional : 0.53, methods : 0.76, like : 0, k : 0, nearest : 0.55, neighbor : 0.54, knn : 0, however : 0, limitations : 0.53, include : 0, restricted : 0.73, dataset : 0.55, diversity : 0.54, insufficient : 0, testing : 0.6, under : 0, real : 0.58, world : 0, conditions : 0.53, recommendations : 0.52, emphasize : 0.58, need : 0.58, larger : 0, more : 0, diverse : 0, datasets : 0.54, integration : 0.56, additional : 0.53, media : 0.57, spectral : 0.75, data : 0.58, video : 0, enhance : 0.59, model : 0, robustness : 0.53 |
| 142. al | 130 words | 0.85 | systematic : 0, literature : 0.53, review : 0, on : 0, the : 0, application : 0.75, of : 0, convolutional : 0.53, neural : 0, networks : 0, for : 0, rambutan : 0.54, fruit : 0, classification : 0.55, advances : 0.59, challenges : 0.73, and : 0.65, future : 0, directions : 0, nephelium : 0, lappaceum : 0.57, l : 0, is : 0, a : 0.85, tropical : 0, widely : 0, cultivated : 0.53, in : 0, southeast : 0, asia : 0.63, including : 0.54, indonesia : 0, manual : 0.56, types : 0, ripeness : 0, levels : 0.56, remains : 0, challenge : 0.74, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.56, process : 0, particularly : 0.53, large : 0.63, scale : 0, agricultural : 0.75, operations : 0.53, network : 0, cnn : 0, deep : 0, learning : 0.58, approach : 0.59, offers : 0, significant : 0, potential : 0, automating : 0.58, improving : 0, accuracy : 0.59, tasks : 0.57, by : 0, extracting : 0.53, complex : 0, visual : 0, features : 0.54, such : 0, as : 0.7, color : 0.57, texture : 0, this : 0, study : 0, employs : 0.55, slr : 0.61, evaluate : 0.75, relevant : 0.54, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.78, identify : 0, trends : 0, utilizing : 0.54, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0.59, superior : 0, 90 : 0, compared : 0, traditional : 0.53, methods : 0, like : 0.58, k : 0, nearest : 0.55, neighbor : 0, knn : 0, however : 0, limitations : 0.53, include : 0.55, restricted : 0, dataset : 0.55, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0.61, more : 0, diverse : 0, datasets : 0.54, integration : 0, additional : 0.58, media : 0, spectral : 0, data : 0.58, video : 0, enhance : 0, model : 0, robustness : 0 |
| 143. selain | 130 words | 0.75 | systematic : 0.72, literature : 0.52, review : 0.56, on : 0, the : 0.5, application : 0.48, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.43, for : 0, rambutan : 0.53, fruit : 0.46, classification : 0.53, advances : 0.53, challenges : 0.61, and : 0, future : 0, directions : 0.49, nephelium : 0.61, lappaceum : 0.52, l : 0.72, is : 0.56, a : 0, tropical : 0.36, widely : 0.56, cultivated : 0.49, in : 0, southeast : 0.57, asia : 0.64, including : 0.61, indonesia : 0.35, manual : 0.44, types : 0.46, ripeness : 0.51, levels : 0.39, remains : 0.75, challenge : 0.5, due : 0.5, to : 0, high : 0, subjectivity : 0.63, time : 0.47, intensive : 0.5, nature : 0.44, process : 0, particularly : 0.42, large : 0.58, scale : 0.63, agricultural : 0.42, operations : 0.69, network : 0.44, cnn : 0, deep : 0.47, learning : 0.69, approach : 0.43, offers : 0.44, significant : 0.63, potential : 0.5, automating : 0.6, improving : 0.52, accuracy : 0.43, tasks : 0.41, by : 0, extracting : 0.69, complex : 0.44, visual : 0.56, features : 0.53, such : 0.52, as : 0.56, color : 0.46, texture : 0.44, this : 0.47, study : 0.51, employs : 0.54, slr : 0.7, evaluate : 0.51, relevant : 0.72, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.36, identify : 0.51, trends : 0.56, utilizing : 0.5, purpose : 0, results : 0.53, demonstrate : 0.51, that : 0.47, achieves : 0.46, superior : 0.66, 90 : 0, compared : 0.43, traditional : 0.59, methods : 0.44, like : 0.44, k : 0, nearest : 0.54, neighbor : 0.53, knn : 0, however : 0.44, limitations : 0.59, include : 0.44, restricted : 0.49, dataset : 0.44, diversity : 0.35, insufficient : 0.42, testing : 0.66, under : 0.46, real : 0.64, world : 0.46, conditions : 0.34, recommendations : 0.46, emphasize : 0.61, need : 0.47, larger : 0.56, more : 0.47, diverse : 0.44, datasets : 0.43, integration : 0.51, additional : 0.6, media : 0.59, spectral : 0.66, data : 0.47, video : 0.46, enhance : 0.64, model : 0.58, robustness : 0.51 |
| 144. paltform | 130 words | 0.71 | systematic : 0.48, literature : 0.47, review : 0, on : 0, the : 0.49, application : 0.63, of : 0.54, convolutional : 0.37, neural : 0.46, networks : 0.58, for : 0, rambutan : 0.5, fruit : 0.44, classification : 0.42, advances : 0.42, challenges : 0.48, and : 0.49, future : 0.53, directions : 0.39, nephelium : 0.57, lappaceum : 0.56, l : 0.71, is : 0, a : 0.71, tropical : 0.42, widely : 0.43, cultivated : 0.48, in : 0, southeast : 0.41, asia : 0.46, including : 0.41, indonesia : 0.41, manual : 0.53, types : 0.38, ripeness : 0.42, levels : 0.43, remains : 0.42, challenge : 0.49, due : 0, to : 0.54, high : 0, subjectivity : 0.4, time : 0.46, intensive : 0.41, nature : 0.63, process : 0.56, particularly : 0.69, large : 0.38, scale : 0.55, agricultural : 0.49, operations : 0.58, network : 0.6, cnn : 0, deep : 0.46, learning : 0.47, approach : 0.5, offers : 0.53, significant : 0.41, potential : 0.54, automating : 0.63, improving : 0.46, accuracy : 0.5, tasks : 0.38, by : 0, extracting : 0.39, complex : 0.51, visual : 0.53, features : 0.58, such : 0, as : 0.54, color : 0.66, texture : 0.51, this : 0.46, study : 0.44, employs : 0.6, slr : 0.49, evaluate : 0.58, relevant : 0.42, research : 0.5, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.5, trends : 0.43, utilizing : 0.32, purpose : 0.56, results : 0.51, demonstrate : 0.44, that : 0.42, achieves : 0.42, superior : 0.47, 90 : 0, compared : 0.58, traditional : 0.44, methods : 0.51, like : 0.46, k : 0, nearest : 0.49, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.5, include : 0.42, restricted : 0.48, dataset : 0.51, diversity : 0.41, insufficient : 0.4, testing : 0.42, under : 0.44, real : 0.58, world : 0.44, conditions : 0.32, recommendations : 0.41, emphasize : 0.49, need : 0, larger : 0.51, more : 0, diverse : 0.42, datasets : 0.5, integration : 0.44, additional : 0.56, media : 0.44, spectral : 0.58, data : 0.58, video : 0.44, enhance : 0.42, model : 0.44, robustness : 0.32 |
| 145. jual | 130 words | 0.75 | systematic : 0.45, literature : 0.4, review : 0, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0.38, neural : 0.75, networks : 0, for : 0, rambutan : 0.42, fruit : 0.48, classification : 0.38, advances : 0.46, challenges : 0.57, and : 0, future : 0.47, directions : 0, nephelium : 0.45, lappaceum : 0.41, l : 0, is : 0, a : 0, tropical : 0, widely : 0.47, cultivated : 0.57, in : 0, southeast : 0.45, asia : 0.5, including : 0.41, indonesia : 0, manual : 0.64, types : 0, ripeness : 0, levels : 0.47, remains : 0.46, challenge : 0.57, due : 0.53, to : 0, high : 0, subjectivity : 0.39, time : 0, intensive : 0, nature : 0.44, process : 0, particularly : 0.56, large : 0.48, scale : 0.63, agricultural : 0.56, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0.42, approach : 0.46, offers : 0, significant : 0, potential : 0, automating : 0.4, improving : 0, accuracy : 0.42, tasks : 0.48, by : 0, extracting : 0.45, complex : 0.46, visual : 0.75, features : 0.42, such : 0.5, as : 0, color : 0.48, texture : 0, this : 0, study : 0.48, employs : 0.46, slr : 0, evaluate : 0.54, relevant : 0.42, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.58, identify : 0, trends : 0, utilizing : 0.57, purpose : 0.46, results : 0.6, demonstrate : 0, that : 0.5, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0, like : 0, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0, limitations : 0.39, include : 0.46, restricted : 0, dataset : 0.46, diversity : 0, insufficient : 0.44, testing : 0, under : 0.48, real : 0.67, world : 0.48, conditions : 0, recommendations : 0, emphasize : 0.45, need : 0, larger : 0.47, more : 0, diverse : 0, datasets : 0.46, integration : 0.45, additional : 0.45, media : 0, spectral : 0, data : 0.5, video : 0, enhance : 0.46, model : 0.48, robustness : 0.45 |
| 146. beli | 130 words | 0.69 | systematic : 0.45, literature : 0.52, review : 0.61, on : 0, the : 0.53, application : 0.56, of : 0, convolutional : 0.55, neural : 0.47, networks : 0.46, for : 0, rambutan : 0.46, fruit : 0.48, classification : 0.55, advances : 0, challenges : 0.4, and : 0, future : 0, directions : 0.4, nephelium : 0.69, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0.46, widely : 0.58, cultivated : 0.57, in : 0, southeast : 0, asia : 0.5, including : 0.41, indonesia : 0.45, manual : 0, types : 0, ripeness : 0.42, levels : 0.44, remains : 0.6, challenge : 0.45, due : 0.53, to : 0, high : 0, subjectivity : 0.67, time : 0, intensive : 0.41, nature : 0, process : 0, particularly : 0.39, large : 0, scale : 0.48, agricultural : 0.39, operations : 0.57, network : 0.46, cnn : 0, deep : 0.5, learning : 0.6, approach : 0, offers : 0.47, significant : 0.45, potential : 0.57, automating : 0.45, improving : 0.45, accuracy : 0, tasks : 0, by : 0.63, extracting : 0.57, complex : 0.46, visual : 0.47, features : 0.46, such : 0, as : 0, color : 0.48, texture : 0.46, this : 0.5, study : 0, employs : 0.6, slr : 0.53, evaluate : 0.58, relevant : 0.58, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.46, identify : 0.42, trends : 0.47, utilizing : 0.41, purpose : 0, results : 0.6, demonstrate : 0.45, that : 0, achieves : 0.42, superior : 0.58, 90 : 0, compared : 0, traditional : 0.45, methods : 0.46, like : 0, k : 0, nearest : 0.46, neighbor : 0.58, knn : 0, however : 0.46, limitations : 0.56, include : 0.46, restricted : 0.57, dataset : 0, diversity : 0.41, insufficient : 0.44, testing : 0.6, under : 0, real : 0.67, world : 0.48, conditions : 0.45, recommendations : 0.44, emphasize : 0.57, need : 0.5, larger : 0.47, more : 0, diverse : 0.43, datasets : 0, integration : 0.39, additional : 0.45, media : 0.63, spectral : 0.46, data : 0, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 147. rantai | 130 words | 0.78 | systematic : 0.6, literature : 0.52, review : 0.6, on : 0.56, the : 0, application : 0.59, of : 0, convolutional : 0.58, neural : 0.56, networks : 0.53, for : 0.5, rambutan : 0.78, fruit : 0.59, classification : 0.46, advances : 0.51, challenges : 0.51, and : 0.67, future : 0.44, directions : 0.43, nephelium : 0.52, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.56, widely : 0, cultivated : 0.49, in : 0.56, southeast : 0.52, asia : 0.61, including : 0.52, indonesia : 0.52, manual : 0.67, types : 0, ripeness : 0.58, levels : 0, remains : 0.68, challenge : 0.43, due : 0, to : 0, high : 0, subjectivity : 0.5, time : 0, intensive : 0.61, nature : 0.56, process : 0.44, particularly : 0.62, large : 0.41, scale : 0.46, agricultural : 0.5, operations : 0.69, network : 0.54, cnn : 0.5, deep : 0, learning : 0.64, approach : 0.51, offers : 0, significant : 0.42, potential : 0.54, automating : 0.69, improving : 0.52, accuracy : 0.53, tasks : 0.46, by : 0, extracting : 0.56, complex : 0, visual : 0.44, features : 0.53, such : 0, as : 0.56, color : 0, texture : 0.44, this : 0, study : 0.46, employs : 0, slr : 0.5, evaluate : 0.51, relevant : 0.58, research : 0.58, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.63, identify : 0.63, trends : 0.56, utilizing : 0.52, purpose : 0.44, results : 0.59, demonstrate : 0.59, that : 0.61, achieves : 0.53, superior : 0.43, 90 : 0, compared : 0.43, traditional : 0.55, methods : 0.44, like : 0, k : 0, nearest : 0.37, neighbor : 0.53, knn : 0.5, however : 0, limitations : 0.48, include : 0.44, restricted : 0.64, dataset : 0.64, diversity : 0.43, insufficient : 0.33, testing : 0.54, under : 0.46, real : 0.65, world : 0.46, conditions : 0.49, recommendations : 0.68, emphasize : 0.52, need : 0.47, larger : 0.39, more : 0.47, diverse : 0, datasets : 0.63, integration : 0.68, additional : 0.56, media : 0.41, spectral : 0.53, data : 0.75, video : 0, enhance : 0.37, model : 0, robustness : 0.54 |
| 148. pasokan | 130 words | 0.76 | systematic : 0.5, literature : 0.41, review : 0, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0.48, neural : 0.44, networks : 0.51, for : 0.49, rambutan : 0.6, fruit : 0, classification : 0.55, advances : 0.6, challenges : 0.5, and : 0.49, future : 0, directions : 0.5, nephelium : 0.42, lappaceum : 0.48, l : 0, is : 0.55, a : 0.71, tropical : 0.49, widely : 0, cultivated : 0.41, in : 0, southeast : 0.59, asia : 0.73, including : 0.42, indonesia : 0.48, manual : 0.54, types : 0.56, ripeness : 0.51, levels : 0, remains : 0.52, challenge : 0.5, due : 0, to : 0.55, high : 0, subjectivity : 0.41, time : 0, intensive : 0.34, nature : 0.44, process : 0.57, particularly : 0.65, large : 0.45, scale : 0.4, agricultural : 0.48, operations : 0.53, network : 0.52, cnn : 0, deep : 0, learning : 0.51, approach : 0.61, offers : 0, significant : 0.46, potential : 0.63, automating : 0.66, improving : 0.59, accuracy : 0.51, tasks : 0.68, by : 0, extracting : 0.5, complex : 0.43, visual : 0.54, features : 0.42, such : 0.46, as : 0.76, color : 0.45, texture : 0, this : 0.46, study : 0.45, employs : 0.52, slr : 0.49, evaluate : 0.51, relevant : 0.51, research : 0.35, from : 0.46, 2019 : 0, 2024 : 0, was : 0.65, analyzed : 0.51, identify : 0.42, trends : 0, utilizing : 0.42, purpose : 0.57, results : 0.43, demonstrate : 0.48, that : 0.46, achieves : 0.42, superior : 0.49, 90 : 0, compared : 0.43, traditional : 0.56, methods : 0.43, like : 0.46, k : 0, nearest : 0.43, neighbor : 0.42, knn : 0, however : 0.43, limitations : 0.49, include : 0, restricted : 0.41, dataset : 0.51, diversity : 0.42, insufficient : 0.32, testing : 0.52, under : 0, real : 0.46, world : 0.45, conditions : 0.5, recommendations : 0.43, emphasize : 0.59, need : 0, larger : 0.44, more : 0.46, diverse : 0, datasets : 0.49, integration : 0.49, additional : 0.57, media : 0.45, spectral : 0.49, data : 0.6, video : 0.45, enhance : 0.52, model : 0.45, robustness : 0.47 |
| 149. manajemen | 130 words | 0.79 | systematic : 0.38, literature : 0.43, review : 0.43, on : 0.54, the : 0.48, application : 0.54, of : 0, convolutional : 0.46, neural : 0.35, networks : 0.41, for : 0, rambutan : 0.56, fruit : 0, classification : 0.52, advances : 0.56, challenges : 0.53, and : 0.63, future : 0.43, directions : 0.47, nephelium : 0.56, lappaceum : 0.63, l : 0, is : 0, a : 0.7, tropical : 0.41, widely : 0.43, cultivated : 0.47, in : 0.54, southeast : 0.31, asia : 0.57, including : 0.48, indonesia : 0.48, manual : 0.79, types : 0.44, ripeness : 0.46, levels : 0.43, remains : 0.59, challenge : 0.55, due : 0.48, to : 0, high : 0, subjectivity : 0.46, time : 0.57, intensive : 0.56, nature : 0.5, process : 0.42, particularly : 0.46, large : 0.54, scale : 0.54, agricultural : 0.4, operations : 0.43, network : 0.42, cnn : 0.48, deep : 0.45, learning : 0.57, approach : 0.49, offers : 0.43, significant : 0.47, potential : 0.31, automating : 0.53, improving : 0.48, accuracy : 0.49, tasks : 0.44, by : 0, extracting : 0.47, complex : 0.5, visual : 0.43, features : 0.49, such : 0, as : 0.54, color : 0, texture : 0.42, this : 0, study : 0, employs : 0.42, slr : 0, evaluate : 0.57, relevant : 0.46, research : 0.32, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.65, identify : 0.32, trends : 0.35, utilizing : 0.41, purpose : 0.42, results : 0, demonstrate : 0.48, that : 0.45, achieves : 0.57, superior : 0.41, 90 : 0, compared : 0.57, traditional : 0.47, methods : 0.48, like : 0.45, k : 0, nearest : 0.48, neighbor : 0.41, knn : 0.48, however : 0.5, limitations : 0.54, include : 0.5, restricted : 0.47, dataset : 0.59, diversity : 0.41, insufficient : 0.53, testing : 0.42, under : 0.54, real : 0.45, world : 0, conditions : 0.47, recommendations : 0.63, emphasize : 0.56, need : 0.57, larger : 0.52, more : 0.62, diverse : 0.5, datasets : 0.57, integration : 0.52, additional : 0.47, media : 0.59, spectral : 0.32, data : 0.57, video : 0.44, enhance : 0.48, model : 0.59, robustness : 0.47 |
| 150. bisnis | 130 words | 0.78 | systematic : 0.49, literature : 0.42, review : 0.44, on : 0.56, the : 0, application : 0.51, of : 0, convolutional : 0.5, neural : 0, networks : 0.53, for : 0, rambutan : 0.43, fruit : 0.46, classification : 0.57, advances : 0.53, challenges : 0.51, and : 0.5, future : 0, directions : 0.6, nephelium : 0.52, lappaceum : 0, l : 0, is : 0.78, a : 0, tropical : 0.43, widely : 0.44, cultivated : 0.42, in : 0.78, southeast : 0.52, asia : 0.44, including : 0.61, indonesia : 0.62, manual : 0.44, types : 0.46, ripeness : 0.63, levels : 0.44, remains : 0.53, challenge : 0.43, due : 0, to : 0, high : 0.47, subjectivity : 0.47, time : 0.47, intensive : 0.62, nature : 0, process : 0.44, particularly : 0.42, large : 0, scale : 0.46, agricultural : 0.42, operations : 0.51, network : 0, cnn : 0.5, deep : 0, learning : 0.53, approach : 0, offers : 0.44, significant : 0.59, potential : 0.52, automating : 0.42, improving : 0.52, accuracy : 0, tasks : 0.58, by : 0.6, extracting : 0.42, complex : 0, visual : 0.56, features : 0.43, such : 0.47, as : 0.56, color : 0, texture : 0, this : 0.61, study : 0.46, employs : 0.44, slr : 0.5, evaluate : 0, relevant : 0.43, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.63, trends : 0.56, utilizing : 0.52, purpose : 0.44, results : 0.54, demonstrate : 0.34, that : 0, achieves : 0.53, superior : 0.53, 90 : 0, compared : 0, traditional : 0.51, methods : 0.44, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.36, knn : 0.5, however : 0, limitations : 0.51, include : 0.54, restricted : 0.34, dataset : 0.44, diversity : 0.61, insufficient : 0.58, testing : 0.53, under : 0.46, real : 0, world : 0, conditions : 0.61, recommendations : 0.41, emphasize : 0.52, need : 0, larger : 0, more : 0, diverse : 0.54, datasets : 0.53, integration : 0.59, additional : 0.49, media : 0.46, spectral : 0.43, data : 0, video : 0.46, enhance : 0.44, model : 0, robustness : 0.69 |
| 151. pengelolaan | 130 words | 0.64 | systematic : 0.46, literature : 0.46, review : 0.51, on : 0.53, the : 0.47, application : 0.57, of : 0, convolutional : 0.53, neural : 0.51, networks : 0.44, for : 0, rambutan : 0.48, fruit : 0, classification : 0.54, advances : 0.48, challenges : 0.55, and : 0.47, future : 0.42, directions : 0.52, nephelium : 0.6, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.45, widely : 0.51, cultivated : 0.36, in : 0.53, southeast : 0.47, asia : 0, including : 0.54, indonesia : 0.48, manual : 0.48, types : 0.53, ripeness : 0.62, levels : 0.59, remains : 0.49, challenge : 0.57, due : 0.47, to : 0, high : 0.45, subjectivity : 0.39, time : 0.45, intensive : 0.42, nature : 0.34, process : 0.51, particularly : 0.53, large : 0.36, scale : 0.36, agricultural : 0.48, operations : 0.58, network : 0.46, cnn : 0.47, deep : 0.56, learning : 0.54, approach : 0.55, offers : 0.42, significant : 0.49, potential : 0.64, automating : 0.52, improving : 0.54, accuracy : 0.41, tasks : 0, by : 0, extracting : 0.52, complex : 0.46, visual : 0.34, features : 0.48, such : 0, as : 0, color : 0.53, texture : 0.49, this : 0, study : 0, employs : 0.56, slr : 0.47, evaluate : 0.5, relevant : 0.59, research : 0.55, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.48, trends : 0.51, utilizing : 0.47, purpose : 0.51, results : 0.49, demonstrate : 0.49, that : 0, achieves : 0.48, superior : 0.55, 90 : 0, compared : 0.44, traditional : 0.49, methods : 0.49, like : 0.45, k : 0, nearest : 0.46, neighbor : 0.54, knn : 0.47, however : 0.49, limitations : 0.4, include : 0.46, restricted : 0.46, dataset : 0.41, diversity : 0.4, insufficient : 0.51, testing : 0.57, under : 0.36, real : 0.56, world : 0.43, conditions : 0.52, recommendations : 0.59, emphasize : 0.44, need : 0.56, larger : 0.34, more : 0.45, diverse : 0.49, datasets : 0.41, integration : 0.59, additional : 0.46, media : 0.53, spectral : 0.54, data : 0, video : 0.53, enhance : 0.57, model : 0.53, robustness : 0.46 |
| 152. pelanggan | 130 words | 0.7 | systematic : 0.47, literature : 0.43, review : 0.43, on : 0.54, the : 0.48, application : 0.57, of : 0, convolutional : 0.42, neural : 0.5, networks : 0.41, for : 0, rambutan : 0.46, fruit : 0, classification : 0.58, advances : 0.49, challenges : 0.62, and : 0.63, future : 0, directions : 0.47, nephelium : 0.44, lappaceum : 0.5, l : 0.7, is : 0, a : 0.7, tropical : 0.49, widely : 0.52, cultivated : 0.47, in : 0.54, southeast : 0.41, asia : 0.45, including : 0.46, indonesia : 0.48, manual : 0.54, types : 0.54, ripeness : 0.57, levels : 0.35, remains : 0.59, challenge : 0.55, due : 0.48, to : 0, high : 0.45, subjectivity : 0.4, time : 0.45, intensive : 0.31, nature : 0.43, process : 0.55, particularly : 0.56, large : 0.58, scale : 0.53, agricultural : 0.47, operations : 0.61, network : 0.42, cnn : 0.48, deep : 0.41, learning : 0.69, approach : 0.46, offers : 0.43, significant : 0.52, potential : 0.67, automating : 0.49, improving : 0.56, accuracy : 0.49, tasks : 0.44, by : 0, extracting : 0.61, complex : 0.5, visual : 0.35, features : 0.49, such : 0, as : 0.54, color : 0.44, texture : 0.42, this : 0, study : 0, employs : 0.48, slr : 0.48, evaluate : 0.56, relevant : 0.65, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.4, identify : 0.49, trends : 0.52, utilizing : 0.56, purpose : 0.48, results : 0.5, demonstrate : 0.54, that : 0.45, achieves : 0.32, superior : 0.49, 90 : 0, compared : 0.49, traditional : 0.54, methods : 0.42, like : 0.41, k : 0, nearest : 0.5, neighbor : 0.49, knn : 0.48, however : 0.42, limitations : 0.54, include : 0.34, restricted : 0.4, dataset : 0.42, diversity : 0.41, insufficient : 0.46, testing : 0.59, under : 0.37, real : 0.58, world : 0.44, conditions : 0.47, recommendations : 0.49, emphasize : 0.44, need : 0.45, larger : 0.54, more : 0.45, diverse : 0.42, datasets : 0.41, integration : 0.54, additional : 0.54, media : 0.54, spectral : 0.57, data : 0.45, video : 0.44, enhance : 0.48, model : 0.54, robustness : 0.4 |
| 153. pemasaran | 130 words | 0.74 | systematic : 0.45, literature : 0.43, review : 0.43, on : 0, the : 0.48, application : 0.52, of : 0, convolutional : 0.29, neural : 0.5, networks : 0.46, for : 0, rambutan : 0.56, fruit : 0, classification : 0.58, advances : 0.46, challenges : 0.43, and : 0.48, future : 0.43, directions : 0.43, nephelium : 0.31, lappaceum : 0.44, l : 0, is : 0.54, a : 0.7, tropical : 0.49, widely : 0.43, cultivated : 0.4, in : 0, southeast : 0.48, asia : 0.69, including : 0.41, indonesia : 0.48, manual : 0.61, types : 0.64, ripeness : 0.57, levels : 0.52, remains : 0.69, challenge : 0.48, due : 0.48, to : 0, high : 0, subjectivity : 0.3, time : 0.41, intensive : 0.48, nature : 0.52, process : 0.63, particularly : 0.56, large : 0.37, scale : 0.37, agricultural : 0.42, operations : 0.62, network : 0.5, cnn : 0, deep : 0.41, learning : 0.65, approach : 0.48, offers : 0.5, significant : 0.54, potential : 0.6, automating : 0.53, improving : 0.55, accuracy : 0.46, tasks : 0.54, by : 0, extracting : 0.53, complex : 0.34, visual : 0.35, features : 0.56, such : 0, as : 0.74, color : 0.44, texture : 0.5, this : 0.45, study : 0, employs : 0.55, slr : 0, evaluate : 0.57, relevant : 0.57, research : 0.56, from : 0.45, 2019 : 0, 2024 : 0, was : 0.63, analyzed : 0.49, identify : 0.41, trends : 0.52, utilizing : 0.41, purpose : 0.55, results : 0.5, demonstrate : 0.65, that : 0.45, achieves : 0.46, superior : 0.57, 90 : 0, compared : 0.56, traditional : 0.42, methods : 0.48, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.49, knn : 0, however : 0.5, limitations : 0.54, include : 0, restricted : 0.54, dataset : 0.48, diversity : 0.44, insufficient : 0.46, testing : 0.59, under : 0.54, real : 0.57, world : 0, conditions : 0.4, recommendations : 0.46, emphasize : 0.6, need : 0.45, larger : 0.5, more : 0.41, diverse : 0.48, datasets : 0.46, integration : 0.52, additional : 0.43, media : 0.53, spectral : 0.56, data : 0.57, video : 0.44, enhance : 0.5, model : 0.37, robustness : 0.47 |
| 154. bagian | 130 words | 0.75 | systematic : 0.42, literature : 0.34, review : 0.44, on : 0, the : 0, application : 0.59, of : 0, convolutional : 0.33, neural : 0.44, networks : 0, for : 0, rambutan : 0.64, fruit : 0.46, classification : 0.57, advances : 0.63, challenges : 0.51, and : 0.5, future : 0, directions : 0.51, nephelium : 0.43, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.53, widely : 0.44, cultivated : 0.51, in : 0, southeast : 0.43, asia : 0.75, including : 0.52, indonesia : 0.52, manual : 0.56, types : 0, ripeness : 0.53, levels : 0, remains : 0.64, challenge : 0.52, due : 0, to : 0, high : 0.44, subjectivity : 0.5, time : 0.47, intensive : 0.52, nature : 0.44, process : 0, particularly : 0.58, large : 0.58, scale : 0.46, agricultural : 0.58, operations : 0.6, network : 0, cnn : 0, deep : 0, learning : 0.51, approach : 0.53, offers : 0, significant : 0.51, potential : 0.44, automating : 0.61, improving : 0.52, accuracy : 0.53, tasks : 0.46, by : 0.6, extracting : 0.6, complex : 0, visual : 0.56, features : 0.43, such : 0, as : 0.56, color : 0, texture : 0, this : 0.47, study : 0, employs : 0, slr : 0, evaluate : 0.53, relevant : 0.53, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.53, identify : 0.53, trends : 0.44, utilizing : 0.52, purpose : 0, results : 0, demonstrate : 0.34, that : 0.47, achieves : 0.53, superior : 0.43, 90 : 0, compared : 0.43, traditional : 0.59, methods : 0, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.36, knn : 0, however : 0, limitations : 0.48, include : 0, restricted : 0.42, dataset : 0.54, diversity : 0.43, insufficient : 0.5, testing : 0.54, under : 0, real : 0.47, world : 0, conditions : 0.34, recommendations : 0.32, emphasize : 0.52, need : 0, larger : 0.56, more : 0, diverse : 0.44, datasets : 0.53, integration : 0.51, additional : 0.61, media : 0.58, spectral : 0.43, data : 0.61, video : 0.46, enhance : 0.54, model : 0, robustness : 0.51 |
| 155. operasional | 130 words | 0.9 | systematic : 0.46, literature : 0.52, review : 0.48, on : 0.58, the : 0.47, application : 0.56, of : 0.58, convolutional : 0.53, neural : 0.59, networks : 0.54, for : 0.62, rambutan : 0.54, fruit : 0.53, classification : 0.57, advances : 0.45, challenges : 0.42, and : 0.47, future : 0.34, directions : 0.55, nephelium : 0.42, lappaceum : 0.37, l : 0, is : 0.53, a : 0.7, tropical : 0.63, widely : 0.42, cultivated : 0.29, in : 0, southeast : 0.6, asia : 0.67, including : 0.47, indonesia : 0.65, manual : 0.42, types : 0.62, ripeness : 0.53, levels : 0.51, remains : 0.66, challenge : 0.42, due : 0.47, to : 0.53, high : 0, subjectivity : 0.4, time : 0.45, intensive : 0.48, nature : 0.48, process : 0.59, particularly : 0.57, large : 0.51, scale : 0.36, agricultural : 0.49, operations : 0.9, network : 0.46, cnn : 0, deep : 0.39, learning : 0.56, approach : 0.63, offers : 0.71, significant : 0.4, potential : 0.71, automating : 0.48, improving : 0.57, accuracy : 0.44, tasks : 0.53, by : 0, extracting : 0.65, complex : 0.57, visual : 0.34, features : 0.54, such : 0, as : 0.73, color : 0.51, texture : 0.49, this : 0.39, study : 0, employs : 0.56, slr : 0.47, evaluate : 0.55, relevant : 0.54, research : 0.45, from : 0.39, 2019 : 0, 2024 : 0, was : 0.62, analyzed : 0.31, identify : 0.48, trends : 0.48, utilizing : 0.47, purpose : 0.56, results : 0.46, demonstrate : 0.53, that : 0.45, achieves : 0.45, superior : 0.69, 90 : 0, compared : 0.63, traditional : 0.76, methods : 0.46, like : 0.45, k : 0, nearest : 0.56, neighbor : 0.5, knn : 0, however : 0.57, limitations : 0.49, include : 0.41, restricted : 0.5, dataset : 0.4, diversity : 0.6, insufficient : 0.51, testing : 0.65, under : 0.53, real : 0.56, world : 0.53, conditions : 0.52, recommendations : 0.56, emphasize : 0.6, need : 0.45, larger : 0.48, more : 0.56, diverse : 0.57, datasets : 0.38, integration : 0.7, additional : 0.72, media : 0.51, spectral : 0.69, data : 0.45, video : 0.36, enhance : 0.57, model : 0.53, robustness : 0.5 |
| 156. menganalisis | 130 words | 0.72 | systematic : 0.49, literature : 0.46, review : 0.5, on : 0.53, the : 0.47, application : 0.57, of : 0, convolutional : 0.47, neural : 0.58, networks : 0.43, for : 0, rambutan : 0.49, fruit : 0.43, classification : 0.53, advances : 0.55, challenges : 0.56, and : 0.44, future : 0.42, directions : 0.49, nephelium : 0.51, lappaceum : 0.42, l : 0, is : 0, a : 0.69, tropical : 0.38, widely : 0.5, cultivated : 0.35, in : 0.53, southeast : 0.53, asia : 0.56, including : 0.52, indonesia : 0.61, manual : 0.71, types : 0.52, ripeness : 0.61, levels : 0.58, remains : 0.65, challenge : 0.49, due : 0.47, to : 0, high : 0.44, subjectivity : 0.5, time : 0.56, intensive : 0.52, nature : 0.42, process : 0.56, particularly : 0.47, large : 0.51, scale : 0.45, agricultural : 0.48, operations : 0.57, network : 0.32, cnn : 0.61, deep : 0.44, learning : 0.64, approach : 0.47, offers : 0.5, significant : 0.52, potential : 0.56, automating : 0.47, improving : 0.47, accuracy : 0.47, tasks : 0.52, by : 0, extracting : 0.49, complex : 0.45, visual : 0.5, features : 0.54, such : 0, as : 0.53, color : 0.43, texture : 0.41, this : 0, study : 0, employs : 0.55, slr : 0, evaluate : 0.53, relevant : 0.53, research : 0.47, from : 0.44, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.58, identify : 0.54, trends : 0.58, utilizing : 0.49, purpose : 0.32, results : 0.56, demonstrate : 0.49, that : 0.44, achieves : 0.49, superior : 0.47, 90 : 0, compared : 0.43, traditional : 0.54, methods : 0.65, like : 0.44, k : 0, nearest : 0.55, neighbor : 0.43, knn : 0.61, however : 0.41, limitations : 0.57, include : 0.39, restricted : 0.46, dataset : 0.51, diversity : 0.42, insufficient : 0.47, testing : 0.51, under : 0.36, real : 0.67, world : 0.43, conditions : 0.54, recommendations : 0.58, emphasize : 0.52, need : 0.39, larger : 0.47, more : 0.6, diverse : 0.48, datasets : 0.58, integration : 0.57, additional : 0.53, media : 0.7, spectral : 0.54, data : 0.56, video : 0.43, enhance : 0.63, model : 0.66, robustness : 0.41 |
| 157. perilaku | 130 words | 0.68 | systematic : 0.48, literature : 0.67, review : 0.51, on : 0, the : 0.49, application : 0.54, of : 0, convolutional : 0.37, neural : 0.64, networks : 0.58, for : 0.49, rambutan : 0.47, fruit : 0.55, classification : 0.36, advances : 0.42, challenges : 0.45, and : 0, future : 0.43, directions : 0.45, nephelium : 0.59, lappaceum : 0.57, l : 0, is : 0.54, a : 0, tropical : 0.62, widely : 0.51, cultivated : 0.45, in : 0.54, southeast : 0.41, asia : 0.58, including : 0.57, indonesia : 0.49, manual : 0.36, types : 0.55, ripeness : 0.5, levels : 0.53, remains : 0.52, challenge : 0.32, due : 0.49, to : 0, high : 0.46, subjectivity : 0.47, time : 0.42, intensive : 0.32, nature : 0.43, process : 0.54, particularly : 0.65, large : 0.38, scale : 0.55, agricultural : 0.51, operations : 0.64, network : 0.6, cnn : 0, deep : 0.42, learning : 0.54, approach : 0.58, offers : 0.53, significant : 0.48, potential : 0.68, automating : 0.32, improving : 0.4, accuracy : 0.5, tasks : 0.44, by : 0, extracting : 0.55, complex : 0.51, visual : 0.51, features : 0.54, such : 0, as : 0, color : 0.38, texture : 0.49, this : 0.46, study : 0, employs : 0.49, slr : 0.47, evaluate : 0.58, relevant : 0.58, research : 0.47, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.33, identify : 0.33, trends : 0.36, utilizing : 0.49, purpose : 0.56, results : 0.49, demonstrate : 0.48, that : 0.46, achieves : 0.33, superior : 0.67, 90 : 0, compared : 0.47, traditional : 0.44, methods : 0.42, like : 0.42, k : 0, nearest : 0.49, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.44, include : 0.6, restricted : 0.45, dataset : 0.42, diversity : 0.4, insufficient : 0.47, testing : 0.51, under : 0.55, real : 0.67, world : 0.55, conditions : 0.41, recommendations : 0.41, emphasize : 0.48, need : 0.46, larger : 0.36, more : 0.42, diverse : 0.43, datasets : 0.42, integration : 0.5, additional : 0.48, media : 0.66, spectral : 0.68, data : 0.46, video : 0.38, enhance : 0.51, model : 0.55, robustness : 0.48 |
| 158. ekosistem | 130 words | 0.7 | systematic : 0.62, literature : 0.49, review : 0.61, on : 0.54, the : 0.48, application : 0.47, of : 0.54, convolutional : 0.41, neural : 0.43, networks : 0.57, for : 0.48, rambutan : 0.41, fruit : 0.54, classification : 0.49, advances : 0.32, challenges : 0.31, and : 0, future : 0.43, directions : 0.45, nephelium : 0.55, lappaceum : 0.48, l : 0, is : 0.54, a : 0, tropical : 0.49, widely : 0.35, cultivated : 0.43, in : 0, southeast : 0.54, asia : 0.57, including : 0.41, indonesia : 0.5, manual : 0, types : 0.54, ripeness : 0.59, levels : 0.52, remains : 0.48, challenge : 0.41, due : 0.48, to : 0.54, high : 0.45, subjectivity : 0.43, time : 0.41, intensive : 0.63, nature : 0.43, process : 0.59, particularly : 0.3, large : 0.44, scale : 0.54, agricultural : 0.46, operations : 0.52, network : 0.5, cnn : 0, deep : 0.45, learning : 0.49, approach : 0.41, offers : 0.5, significant : 0.54, potential : 0.46, automating : 0.45, improving : 0.48, accuracy : 0, tasks : 0.53, by : 0, extracting : 0.49, complex : 0.5, visual : 0.35, features : 0.52, such : 0.45, as : 0.54, color : 0.44, texture : 0.59, this : 0.41, study : 0.44, employs : 0.63, slr : 0.48, evaluate : 0.61, relevant : 0.49, research : 0.49, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.41, identify : 0.46, trends : 0.52, utilizing : 0.41, purpose : 0.59, results : 0.59, demonstrate : 0.67, that : 0.45, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0.49, traditional : 0.47, methods : 0.59, like : 0.58, k : 0.7, nearest : 0.55, neighbor : 0.49, knn : 0.48, however : 0.48, limitations : 0.47, include : 0.42, restricted : 0.62, dataset : 0.48, diversity : 0.5, insufficient : 0.43, testing : 0.59, under : 0.44, real : 0.45, world : 0.44, conditions : 0.53, recommendations : 0.56, emphasize : 0.67, need : 0.45, larger : 0.43, more : 0.41, diverse : 0.55, datasets : 0.56, integration : 0.37, additional : 0.38, media : 0.54, spectral : 0.46, data : 0, video : 0.48, enhance : 0.55, model : 0.37, robustness : 0.59 |
| 159. dinamis | 130 words | 0.76 | systematic : 0.53, literature : 0.5, review : 0.44, on : 0.55, the : 0, application : 0.46, of : 0, convolutional : 0.48, neural : 0.54, networks : 0.51, for : 0, rambutan : 0.51, fruit : 0.45, classification : 0.49, advances : 0.57, challenges : 0.47, and : 0.48, future : 0, directions : 0.73, nephelium : 0.5, lappaceum : 0.42, l : 0, is : 0.55, a : 0, tropical : 0.51, widely : 0.37, cultivated : 0.5, in : 0.76, southeast : 0.5, asia : 0.6, including : 0.59, indonesia : 0.59, manual : 0.37, types : 0.45, ripeness : 0.6, levels : 0.44, remains : 0.63, challenge : 0.42, due : 0.54, to : 0, high : 0.46, subjectivity : 0.41, time : 0.6, intensive : 0.59, nature : 0.54, process : 0.43, particularly : 0.32, large : 0.45, scale : 0.45, agricultural : 0.32, operations : 0.58, network : 0.43, cnn : 0.49, deep : 0.52, learning : 0.49, approach : 0.42, offers : 0.44, significant : 0.57, potential : 0.5, automating : 0.58, improving : 0.59, accuracy : 0.42, tasks : 0.56, by : 0, extracting : 0.5, complex : 0.43, visual : 0.54, features : 0.51, such : 0, as : 0, color : 0, texture : 0, this : 0.46, study : 0, employs : 0.43, slr : 0, evaluate : 0.42, relevant : 0.42, research : 0.42, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.35, identify : 0.61, trends : 0.54, utilizing : 0.5, purpose : 0.43, results : 0.43, demonstrate : 0.61, that : 0.46, achieves : 0.49, superior : 0.42, 90 : 0, compared : 0.35, traditional : 0.52, methods : 0.43, like : 0.46, k : 0, nearest : 0.62, neighbor : 0.35, knn : 0.49, however : 0, limitations : 0.62, include : 0.52, restricted : 0.33, dataset : 0.66, diversity : 0.67, insufficient : 0.55, testing : 0.43, under : 0.4, real : 0.46, world : 0, conditions : 0.64, recommendations : 0.49, emphasize : 0.51, need : 0.46, larger : 0.44, more : 0, diverse : 0.7, datasets : 0.64, integration : 0.65, additional : 0.53, media : 0.68, spectral : 0.42, data : 0.64, video : 0.4, enhance : 0.52, model : 0.45, robustness : 0.33 |
| 160. hanya | 130 words | 0.73 | systematic : 0.53, literature : 0.43, review : 0, on : 0.57, the : 0.51, application : 0.53, of : 0, convolutional : 0.43, neural : 0.58, networks : 0.44, for : 0, rambutan : 0.55, fruit : 0, classification : 0.51, advances : 0.55, challenges : 0.63, and : 0.69, future : 0, directions : 0, nephelium : 0.37, lappaceum : 0.54, l : 0, is : 0, a : 0.73, tropical : 0.44, widely : 0.46, cultivated : 0.43, in : 0.57, southeast : 0.44, asia : 0.63, including : 0.44, indonesia : 0.44, manual : 0.7, types : 0, ripeness : 0.44, levels : 0, remains : 0.45, challenge : 0.54, due : 0, to : 0, high : 0.54, subjectivity : 0, time : 0, intensive : 0.44, nature : 0.41, process : 0, particularly : 0.52, large : 0.47, scale : 0.47, agricultural : 0.43, operations : 0.43, network : 0.45, cnn : 0.51, deep : 0, learning : 0.55, approach : 0.55, offers : 0, significant : 0.53, potential : 0.54, automating : 0.53, improving : 0, accuracy : 0.55, tasks : 0.47, by : 0, extracting : 0.43, complex : 0, visual : 0.46, features : 0.44, such : 0, as : 0.57, color : 0, texture : 0, this : 0.48, study : 0.47, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.44, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.68, identify : 0.44, trends : 0.46, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.53, that : 0.63, achieves : 0.38, superior : 0, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0, like : 0, k : 0, nearest : 0.4, neighbor : 0.44, knn : 0.51, however : 0.5, limitations : 0.43, include : 0.45, restricted : 0, dataset : 0.56, diversity : 0, insufficient : 0.43, testing : 0, under : 0.47, real : 0.48, world : 0, conditions : 0.43, recommendations : 0.51, emphasize : 0.54, need : 0, larger : 0.46, more : 0, diverse : 0, datasets : 0.55, integration : 0.53, additional : 0.53, media : 0.47, spectral : 0.44, data : 0.63, video : 0, enhance : 0.51, model : 0, robustness : 0.43 |
| 161. dipakai | 130 words | 0.75 | systematic : 0.5, literature : 0.5, review : 0.44, on : 0, the : 0, application : 0.66, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.42, for : 0, rambutan : 0.51, fruit : 0.45, classification : 0.45, advances : 0.49, challenges : 0.41, and : 0.49, future : 0, directions : 0.66, nephelium : 0.5, lappaceum : 0.48, l : 0, is : 0.55, a : 0, tropical : 0.49, widely : 0.37, cultivated : 0.5, in : 0.55, southeast : 0.42, asia : 0.6, including : 0.5, indonesia : 0.51, manual : 0.54, types : 0.45, ripeness : 0.51, levels : 0, remains : 0.52, challenge : 0.42, due : 0.54, to : 0, high : 0.46, subjectivity : 0.41, time : 0.46, intensive : 0.5, nature : 0.44, process : 0.43, particularly : 0.51, large : 0.45, scale : 0.45, agricultural : 0.45, operations : 0.58, network : 0.43, cnn : 0, deep : 0.64, learning : 0.51, approach : 0.49, offers : 0, significant : 0.46, potential : 0.48, automating : 0.58, improving : 0.59, accuracy : 0.51, tasks : 0.56, by : 0, extracting : 0.5, complex : 0.43, visual : 0.54, features : 0.42, such : 0, as : 0, color : 0, texture : 0, this : 0.46, study : 0, employs : 0.43, slr : 0, evaluate : 0.51, relevant : 0.42, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.51, identify : 0.49, trends : 0, utilizing : 0.5, purpose : 0.43, results : 0, demonstrate : 0.54, that : 0.46, achieves : 0.35, superior : 0.51, 90 : 0, compared : 0.51, traditional : 0.56, methods : 0, like : 0.6, k : 0, nearest : 0.43, neighbor : 0.42, knn : 0, however : 0, limitations : 0.46, include : 0.43, restricted : 0.41, dataset : 0.66, diversity : 0.67, insufficient : 0.48, testing : 0.43, under : 0.45, real : 0.46, world : 0, conditions : 0.58, recommendations : 0.47, emphasize : 0.59, need : 0, larger : 0.44, more : 0, diverse : 0.62, datasets : 0.64, integration : 0.57, additional : 0.57, media : 0.68, spectral : 0.51, data : 0.75, video : 0.4, enhance : 0.43, model : 0.45, robustness : 0 |
| 162. alat | 130 words | 0.83 | systematic : 0.4, literature : 0.57, review : 0, on : 0, the : 0, application : 0.81, of : 0, convolutional : 0.55, neural : 0.47, networks : 0.46, for : 0, rambutan : 0.58, fruit : 0.48, classification : 0.38, advances : 0.63, challenges : 0.57, and : 0.58, future : 0.47, directions : 0.45, nephelium : 0, lappaceum : 0.58, l : 0.75, is : 0, a : 0.78, tropical : 0.46, widely : 0, cultivated : 0.57, in : 0, southeast : 0.45, asia : 0.7, including : 0.45, indonesia : 0, manual : 0.61, types : 0, ripeness : 0, levels : 0.47, remains : 0.46, challenge : 0.57, due : 0, to : 0, high : 0, subjectivity : 0.44, time : 0, intensive : 0.45, nature : 0.61, process : 0, particularly : 0.56, large : 0.47, scale : 0.48, agricultural : 0.7, operations : 0.57, network : 0.46, cnn : 0, deep : 0, learning : 0.42, approach : 0.63, offers : 0, significant : 0, potential : 0.45, automating : 0.62, improving : 0, accuracy : 0.63, tasks : 0.48, by : 0, extracting : 0.4, complex : 0, visual : 0.47, features : 0.58, such : 0, as : 0.63, color : 0.48, texture : 0.46, this : 0, study : 0, employs : 0.46, slr : 0.53, evaluate : 0.83, relevant : 0.58, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.64, identify : 0.46, trends : 0, utilizing : 0.41, purpose : 0, results : 0.46, demonstrate : 0.45, that : 0.67, achieves : 0.51, superior : 0, 90 : 0, compared : 0.46, traditional : 0.39, methods : 0.46, like : 0.5, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0, limitations : 0.56, include : 0.46, restricted : 0.45, dataset : 0.62, diversity : 0, insufficient : 0, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0.45, recommendations : 0, emphasize : 0.45, need : 0, larger : 0.44, more : 0, diverse : 0, datasets : 0.6, integration : 0.39, additional : 0.61, media : 0, spectral : 0.46, data : 0.72, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 163. aja | 130 words | 0.8 | systematic : 0.48, literature : 0.48, review : 0, on : 0, the : 0, application : 0.65, of : 0, convolutional : 0, neural : 0.5, networks : 0, for : 0, rambutan : 0.49, fruit : 0, classification : 0.47, advances : 0.67, challenges : 0.48, and : 0.6, future : 0, directions : 0, nephelium : 0, lappaceum : 0.63, l : 0, is : 0, a : 0.8, tropical : 0, widely : 0, cultivated : 0.48, in : 0, southeast : 0, asia : 0.75, including : 0, indonesia : 0, manual : 0.67, types : 0, ripeness : 0, levels : 0, remains : 0.49, challenge : 0.48, due : 0, to : 0, high : 0, subjectivity : 0.47, time : 0, intensive : 0, nature : 0.5, process : 0, particularly : 0.47, large : 0.51, scale : 0.51, agricultural : 0.52, operations : 0.48, network : 0, cnn : 0, deep : 0, learning : 0.49, approach : 0.67, offers : 0, significant : 0, potential : 0, automating : 0.66, improving : 0, accuracy : 0.67, tasks : 0.51, by : 0, extracting : 0.48, complex : 0, visual : 0.5, features : 0.49, such : 0, as : 0.65, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0.64, relevant : 0.49, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.67, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0.53, achieves : 0.54, superior : 0, 90 : 0, compared : 0.49, traditional : 0.47, methods : 0, like : 0, k : 0, nearest : 0.49, neighbor : 0, knn : 0, however : 0, limitations : 0.47, include : 0, restricted : 0, dataset : 0.65, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0.53, world : 0, conditions : 0, recommendations : 0, emphasize : 0.48, need : 0, larger : 0.5, more : 0, diverse : 0, datasets : 0.64, integration : 0.47, additional : 0.53, media : 0, spectral : 0, data : 0.72, video : 0, enhance : 0.49, model : 0, robustness : 0 |
| 164. sesuai | 130 words | 0.74 | systematic : 0.74, literature : 0.56, review : 0.56, on : 0, the : 0.5, application : 0.51, of : 0, convolutional : 0.5, neural : 0.67, networks : 0.43, for : 0, rambutan : 0.36, fruit : 0.58, classification : 0.57, advances : 0.43, challenges : 0.34, and : 0, future : 0.44, directions : 0.34, nephelium : 0.52, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0.36, widely : 0.44, cultivated : 0.49, in : 0, southeast : 0.65, asia : 0.61, including : 0.52, indonesia : 0.43, manual : 0.56, types : 0.58, ripeness : 0.43, levels : 0.44, remains : 0.64, challenge : 0.43, due : 0.5, to : 0, high : 0, subjectivity : 0.63, time : 0.47, intensive : 0.61, nature : 0.44, process : 0, particularly : 0.42, large : 0, scale : 0.62, agricultural : 0.42, operations : 0.6, network : 0.44, cnn : 0, deep : 0.47, learning : 0.63, approach : 0.43, offers : 0.44, significant : 0.53, potential : 0.5, automating : 0.49, improving : 0.43, accuracy : 0.53, tasks : 0.58, by : 0, extracting : 0.6, complex : 0, visual : 0.67, features : 0.51, such : 0.65, as : 0.56, color : 0, texture : 0.54, this : 0.47, study : 0.62, employs : 0.44, slr : 0.55, evaluate : 0.51, relevant : 0.53, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.53, trends : 0.44, utilizing : 0.52, purpose : 0.44, results : 0.53, demonstrate : 0.59, that : 0.47, achieves : 0.36, superior : 0.67, 90 : 0, compared : 0.43, traditional : 0.51, methods : 0.44, like : 0.47, k : 0, nearest : 0.54, neighbor : 0.53, knn : 0, however : 0.44, limitations : 0.34, include : 0.44, restricted : 0.49, dataset : 0.37, diversity : 0.61, insufficient : 0.42, testing : 0.53, under : 0.46, real : 0.61, world : 0, conditions : 0.42, recommendations : 0.57, emphasize : 0.62, need : 0.47, larger : 0, more : 0.47, diverse : 0.44, datasets : 0.36, integration : 0.59, additional : 0.51, media : 0.59, spectral : 0.66, data : 0.47, video : 0.46, enhance : 0.54, model : 0.46, robustness : 0.34 |
| 165. melibatkan | 130 words | 0.79 | systematic : 0.37, literature : 0.5, review : 0.51, on : 0, the : 0.48, application : 0.65, of : 0, convolutional : 0.49, neural : 0.49, networks : 0.56, for : 0, rambutan : 0.7, fruit : 0.53, classification : 0.57, advances : 0.41, challenges : 0.52, and : 0, future : 0.34, directions : 0.52, nephelium : 0.54, lappaceum : 0.54, l : 0.7, is : 0.53, a : 0, tropical : 0.48, widely : 0.43, cultivated : 0.48, in : 0.53, southeast : 0.38, asia : 0.57, including : 0.43, indonesia : 0.43, manual : 0.65, types : 0.43, ripeness : 0.32, levels : 0.34, remains : 0.6, challenge : 0.53, due : 0.48, to : 0, high : 0.45, subjectivity : 0.41, time : 0.52, intensive : 0.38, nature : 0.43, process : 0.41, particularly : 0.51, large : 0.47, scale : 0.52, agricultural : 0.57, operations : 0.57, network : 0.58, cnn : 0, deep : 0.45, learning : 0.58, approach : 0.41, offers : 0.42, significant : 0.5, potential : 0.45, automating : 0.57, improving : 0.43, accuracy : 0.41, tasks : 0.53, by : 0.53, extracting : 0.6, complex : 0.47, visual : 0.43, features : 0.56, such : 0, as : 0, color : 0.43, texture : 0.5, this : 0.45, study : 0, employs : 0.47, slr : 0.48, evaluate : 0.58, relevant : 0.64, research : 0.48, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.32, identify : 0.45, trends : 0.42, utilizing : 0.43, purpose : 0, results : 0.58, demonstrate : 0.42, that : 0.57, achieves : 0.32, superior : 0.48, 90 : 0, compared : 0.48, traditional : 0.52, methods : 0.66, like : 0.52, k : 0, nearest : 0.58, neighbor : 0.56, knn : 0, however : 0.41, limitations : 0.58, include : 0.33, restricted : 0.42, dataset : 0.41, diversity : 0.43, insufficient : 0.41, testing : 0.57, under : 0.43, real : 0.57, world : 0.43, conditions : 0.53, recommendations : 0.44, emphasize : 0.45, need : 0.45, larger : 0.43, more : 0.61, diverse : 0.33, datasets : 0.39, integration : 0.52, additional : 0.48, media : 0.79, spectral : 0.45, data : 0.57, video : 0.37, enhance : 0.5, model : 0.67, robustness : 0.53 |
| 166. riba | 130 words | 0.71 | systematic : 0.45, literature : 0.57, review : 0.65, on : 0, the : 0, application : 0.39, of : 0, convolutional : 0, neural : 0.47, networks : 0, for : 0, rambutan : 0.64, fruit : 0.48, classification : 0.38, advances : 0.46, challenges : 0.45, and : 0, future : 0, directions : 0.4, nephelium : 0, lappaceum : 0.45, l : 0, is : 0.58, a : 0, tropical : 0.71, widely : 0.47, cultivated : 0.57, in : 0.58, southeast : 0.45, asia : 0.67, including : 0.45, indonesia : 0.45, manual : 0.47, types : 0, ripeness : 0.67, levels : 0, remains : 0.64, challenge : 0.45, due : 0, to : 0, high : 0.5, subjectivity : 0.44, time : 0.5, intensive : 0.45, nature : 0.47, process : 0.46, particularly : 0.5, large : 0, scale : 0.48, agricultural : 0.5, operations : 0.57, network : 0, cnn : 0, deep : 0, learning : 0.42, approach : 0.42, offers : 0, significant : 0.45, potential : 0, automating : 0.45, improving : 0.41, accuracy : 0.46, tasks : 0, by : 0, extracting : 0.57, complex : 0, visual : 0.61, features : 0.46, such : 0, as : 0, color : 0, texture : 0, this : 0.5, study : 0, employs : 0, slr : 0, evaluate : 0.46, relevant : 0.63, research : 0.63, from : 0.5, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.46, identify : 0.46, trends : 0.47, utilizing : 0.45, purpose : 0.46, results : 0.52, demonstrate : 0, that : 0.5, achieves : 0.42, superior : 0, 90 : 0, compared : 0.46, traditional : 0.56, methods : 0, like : 0.5, k : 0, nearest : 0.46, neighbor : 0.58, knn : 0, however : 0, limitations : 0.56, include : 0.46, restricted : 0.61, dataset : 0.46, diversity : 0.45, insufficient : 0.44, testing : 0, under : 0, real : 0.7, world : 0, conditions : 0.45, recommendations : 0.59, emphasize : 0.45, need : 0, larger : 0.44, more : 0, diverse : 0.46, datasets : 0.46, integration : 0.56, additional : 0.4, media : 0.48, spectral : 0.46, data : 0.5, video : 0.48, enhance : 0.46, model : 0, robustness : 0.61 |
| 167. gharar | 130 words | 0.72 | systematic : 0.42, literature : 0.49, review : 0, on : 0, the : 0.5, application : 0.51, of : 0, convolutional : 0, neural : 0.39, networks : 0.43, for : 0.5, rambutan : 0.51, fruit : 0.46, classification : 0.49, advances : 0.53, challenges : 0.51, and : 0.5, future : 0.44, directions : 0.42, nephelium : 0.43, lappaceum : 0.52, l : 0, is : 0, a : 0.72, tropical : 0.53, widely : 0, cultivated : 0.42, in : 0, southeast : 0.52, asia : 0.61, including : 0, indonesia : 0, manual : 0.56, types : 0, ripeness : 0.43, levels : 0, remains : 0.44, challenge : 0.52, due : 0, to : 0, high : 0.44, subjectivity : 0, time : 0, intensive : 0, nature : 0.56, process : 0.44, particularly : 0.67, large : 0.58, scale : 0.46, agricultural : 0.58, operations : 0.34, network : 0.44, cnn : 0, deep : 0, learning : 0.53, approach : 0.63, offers : 0.44, significant : 0.51, potential : 0.43, automating : 0.51, improving : 0.43, accuracy : 0.63, tasks : 0.46, by : 0, extracting : 0.34, complex : 0, visual : 0.44, features : 0.53, such : 0.47, as : 0.56, color : 0.46, texture : 0.44, this : 0.47, study : 0, employs : 0, slr : 0.5, evaluate : 0.53, relevant : 0.36, research : 0.51, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.53, identify : 0, trends : 0.44, utilizing : 0, purpose : 0.44, results : 0, demonstrate : 0.51, that : 0.61, achieves : 0.36, superior : 0.53, 90 : 0, compared : 0.53, traditional : 0.34, methods : 0.44, like : 0, k : 0, nearest : 0.54, neighbor : 0.63, knn : 0, however : 0.54, limitations : 0.42, include : 0, restricted : 0.51, dataset : 0.54, diversity : 0.43, insufficient : 0, testing : 0, under : 0.46, real : 0.47, world : 0.46, conditions : 0, recommendations : 0.49, emphasize : 0.52, need : 0, larger : 0.67, more : 0.47, diverse : 0.44, datasets : 0.53, integration : 0.48, additional : 0.51, media : 0.46, spectral : 0.53, data : 0.61, video : 0, enhance : 0.54, model : 0, robustness : 0.42 |
| 168. maisir | 130 words | 0.78 | systematic : 0.51, literature : 0.43, review : 0.44, on : 0, the : 0, application : 0.59, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.43, for : 0, rambutan : 0.36, fruit : 0.46, classification : 0.57, advances : 0.43, challenges : 0.42, and : 0.5, future : 0.44, directions : 0.49, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0.78, a : 0.72, tropical : 0.43, widely : 0.44, cultivated : 0.42, in : 0.56, southeast : 0.43, asia : 0.64, including : 0.52, indonesia : 0.61, manual : 0.64, types : 0.46, ripeness : 0.53, levels : 0.44, remains : 0.64, challenge : 0.43, due : 0, to : 0, high : 0.47, subjectivity : 0.47, time : 0.44, intensive : 0.61, nature : 0.56, process : 0.44, particularly : 0.47, large : 0.46, scale : 0.46, agricultural : 0.47, operations : 0.43, network : 0.44, cnn : 0, deep : 0, learning : 0.51, approach : 0.53, offers : 0.39, significant : 0.48, potential : 0.43, automating : 0.49, improving : 0.54, accuracy : 0.53, tasks : 0.58, by : 0, extracting : 0.43, complex : 0.44, visual : 0.56, features : 0.53, such : 0, as : 0.78, color : 0.46, texture : 0.44, this : 0.61, study : 0, employs : 0.44, slr : 0, evaluate : 0.43, relevant : 0, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.67, analyzed : 0.43, identify : 0.53, trends : 0.44, utilizing : 0.52, purpose : 0.44, results : 0.44, demonstrate : 0.59, that : 0.47, achieves : 0.53, superior : 0.46, 90 : 0, compared : 0.63, traditional : 0.55, methods : 0.49, like : 0.47, k : 0, nearest : 0.53, neighbor : 0.53, knn : 0, however : 0.44, limitations : 0.55, include : 0.44, restricted : 0.43, dataset : 0.54, diversity : 0.58, insufficient : 0.58, testing : 0.37, under : 0.46, real : 0.47, world : 0, conditions : 0.51, recommendations : 0.32, emphasize : 0.7, need : 0, larger : 0.56, more : 0.52, diverse : 0.53, datasets : 0.53, integration : 0.48, additional : 0.6, media : 0.62, spectral : 0.53, data : 0.47, video : 0.46, enhance : 0.44, model : 0.51, robustness : 0.42 |
| 169. berkembangnya | 130 words | 0.69 | systematic : 0.51, literature : 0.49, review : 0.47, on : 0, the : 0.47, application : 0.45, of : 0, convolutional : 0.27, neural : 0.58, networks : 0.54, for : 0.47, rambutan : 0.57, fruit : 0.43, classification : 0.37, advances : 0.37, challenges : 0.49, and : 0, future : 0.33, directions : 0.4, nephelium : 0.52, lappaceum : 0.35, l : 0, is : 0, a : 0, tropical : 0.47, widely : 0.41, cultivated : 0.28, in : 0, southeast : 0.46, asia : 0.44, including : 0.46, indonesia : 0.35, manual : 0.5, types : 0.43, ripeness : 0.44, levels : 0.5, remains : 0.63, challenge : 0.51, due : 0.47, to : 0, high : 0, subjectivity : 0.49, time : 0.38, intensive : 0.41, nature : 0.33, process : 0.31, particularly : 0.49, large : 0.35, scale : 0.35, agricultural : 0.44, operations : 0.57, network : 0.55, cnn : 0, deep : 0.55, learning : 0.63, approach : 0.47, offers : 0.5, significant : 0.39, potential : 0.41, automating : 0.57, improving : 0.5, accuracy : 0.54, tasks : 0.43, by : 0.57, extracting : 0.63, complex : 0.31, visual : 0.41, features : 0.48, such : 0, as : 0, color : 0.43, texture : 0.55, this : 0, study : 0, employs : 0.48, slr : 0.47, evaluate : 0.42, relevant : 0.6, research : 0.52, from : 0.55, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.3, identify : 0.54, trends : 0.47, utilizing : 0.46, purpose : 0.31, results : 0.31, demonstrate : 0.48, that : 0.44, achieves : 0.47, superior : 0.47, 90 : 0, compared : 0.44, traditional : 0.56, methods : 0.31, like : 0.38, k : 0.69, nearest : 0.5, neighbor : 0.42, knn : 0.47, however : 0.44, limitations : 0.5, include : 0.41, restricted : 0.4, dataset : 0.31, diversity : 0.52, insufficient : 0.44, testing : 0.55, under : 0.52, real : 0.55, world : 0.43, conditions : 0.39, recommendations : 0.53, emphasize : 0.46, need : 0.55, larger : 0.33, more : 0.55, diverse : 0.55, datasets : 0.3, integration : 0.48, additional : 0.28, media : 0.5, spectral : 0.54, data : 0.44, video : 0.43, enhance : 0.5, model : 0.35, robustness : 0.4 |
| 170. berdampak | 130 words | 0.64 | systematic : 0.43, literature : 0.54, review : 0.35, on : 0, the : 0.48, application : 0.54, of : 0, convolutional : 0.4, neural : 0.61, networks : 0.57, for : 0.48, rambutan : 0.59, fruit : 0.44, classification : 0.46, advances : 0.49, challenges : 0.31, and : 0.48, future : 0.43, directions : 0.43, nephelium : 0.48, lappaceum : 0.5, l : 0, is : 0, a : 0, tropical : 0.46, widely : 0.35, cultivated : 0.4, in : 0, southeast : 0.41, asia : 0.45, including : 0.41, indonesia : 0.48, manual : 0.52, types : 0.44, ripeness : 0.32, levels : 0.43, remains : 0.51, challenge : 0.41, due : 0.46, to : 0, high : 0, subjectivity : 0.46, time : 0.41, intensive : 0.41, nature : 0.35, process : 0.34, particularly : 0.42, large : 0.53, scale : 0.37, agricultural : 0.42, operations : 0.54, network : 0.59, cnn : 0, deep : 0.58, learning : 0.46, approach : 0.49, offers : 0.52, significant : 0.4, potential : 0.48, automating : 0.54, improving : 0.41, accuracy : 0.49, tasks : 0.44, by : 0.58, extracting : 0.54, complex : 0.5, visual : 0.43, features : 0.46, such : 0, as : 0, color : 0.44, texture : 0.5, this : 0, study : 0.44, employs : 0.42, slr : 0.48, evaluate : 0.57, relevant : 0.46, research : 0.46, from : 0.57, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.41, identify : 0.32, trends : 0.5, utilizing : 0, purpose : 0.5, results : 0.34, demonstrate : 0.44, that : 0.45, achieves : 0.41, superior : 0.49, 90 : 0, compared : 0.48, traditional : 0.52, methods : 0.5, like : 0.45, k : 0, nearest : 0.48, neighbor : 0.41, knn : 0, however : 0.42, limitations : 0.3, include : 0.42, restricted : 0.31, dataset : 0.5, diversity : 0.39, insufficient : 0, testing : 0.42, under : 0.48, real : 0.58, world : 0.54, conditions : 0.4, recommendations : 0.46, emphasize : 0.48, need : 0.57, larger : 0.5, more : 0.41, diverse : 0.42, datasets : 0.49, integration : 0.54, additional : 0.43, media : 0.64, spectral : 0.57, data : 0.57, video : 0.37, enhance : 0.5, model : 0.37, robustness : 0.31 |
| 171. mempengaruhi | 130 words | 0.69 | systematic : 0.49, literature : 0.54, review : 0.5, on : 0.53, the : 0.47, application : 0.44, of : 0, convolutional : 0.42, neural : 0.5, networks : 0.43, for : 0, rambutan : 0.53, fruit : 0, classification : 0.44, advances : 0.43, challenges : 0.57, and : 0.47, future : 0.33, directions : 0.41, nephelium : 0.56, lappaceum : 0.47, l : 0, is : 0, a : 0, tropical : 0.47, widely : 0.42, cultivated : 0.29, in : 0.53, southeast : 0.46, asia : 0.44, including : 0.47, indonesia : 0.43, manual : 0.63, types : 0.36, ripeness : 0.44, levels : 0.5, remains : 0.47, challenge : 0.59, due : 0.47, to : 0, high : 0.44, subjectivity : 0.44, time : 0.56, intensive : 0.47, nature : 0.42, process : 0.32, particularly : 0.43, large : 0.36, scale : 0.36, agricultural : 0.47, operations : 0.56, network : 0.45, cnn : 0.47, deep : 0.56, learning : 0.55, approach : 0.53, offers : 0.5, significant : 0.4, potential : 0.52, automating : 0.51, improving : 0.61, accuracy : 0.31, tasks : 0, by : 0, extracting : 0.56, complex : 0.45, visual : 0.42, features : 0.58, such : 0, as : 0, color : 0.43, texture : 0.55, this : 0, study : 0, employs : 0.45, slr : 0, evaluate : 0.49, relevant : 0.53, research : 0.68, from : 0.44, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.38, identify : 0.47, trends : 0.5, utilizing : 0.36, purpose : 0.32, results : 0.41, demonstrate : 0.49, that : 0.44, achieves : 0.47, superior : 0.43, 90 : 0, compared : 0.55, traditional : 0.34, methods : 0.59, like : 0.44, k : 0, nearest : 0.58, neighbor : 0.53, knn : 0.47, however : 0.56, limitations : 0.44, include : 0.39, restricted : 0.41, dataset : 0.32, diversity : 0.53, insufficient : 0.33, testing : 0.56, under : 0.51, real : 0.56, world : 0, conditions : 0.46, recommendations : 0.64, emphasize : 0.58, need : 0.56, larger : 0.47, more : 0.6, diverse : 0.45, datasets : 0.31, integration : 0.57, additional : 0.46, media : 0.69, spectral : 0.44, data : 0.44, video : 0.43, enhance : 0.51, model : 0.57, robustness : 0.29 |
| 172. budaya | 130 words | 0.75 | systematic : 0.34, literature : 0.42, review : 0, on : 0, the : 0, application : 0.51, of : 0, convolutional : 0.41, neural : 0.56, networks : 0, for : 0, rambutan : 0.6, fruit : 0.46, classification : 0.49, advances : 0.51, challenges : 0.42, and : 0.5, future : 0.44, directions : 0.42, nephelium : 0, lappaceum : 0.52, l : 0, is : 0, a : 0, tropical : 0.43, widely : 0.56, cultivated : 0.51, in : 0, southeast : 0.52, asia : 0.47, including : 0.52, indonesia : 0.52, manual : 0.56, types : 0, ripeness : 0, levels : 0, remains : 0.44, challenge : 0.43, due : 0.5, to : 0, high : 0, subjectivity : 0.33, time : 0, intensive : 0, nature : 0.39, process : 0, particularly : 0.47, large : 0.46, scale : 0.46, agricultural : 0.47, operations : 0.42, network : 0, cnn : 0, deep : 0.47, learning : 0.43, approach : 0.53, offers : 0, significant : 0.42, potential : 0.43, automating : 0.49, improving : 0, accuracy : 0.56, tasks : 0.46, by : 0.6, extracting : 0.42, complex : 0, visual : 0.56, features : 0.36, such : 0.47, as : 0, color : 0, texture : 0, this : 0, study : 0.7, employs : 0.44, slr : 0, evaluate : 0.51, relevant : 0.43, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.51, identify : 0.53, trends : 0.44, utilizing : 0.43, purpose : 0.44, results : 0.44, demonstrate : 0.51, that : 0.47, achieves : 0.43, superior : 0.43, 90 : 0, compared : 0.43, traditional : 0.48, methods : 0, like : 0, k : 0, nearest : 0.44, neighbor : 0, knn : 0, however : 0, limitations : 0.42, include : 0, restricted : 0, dataset : 0.64, diversity : 0.43, insufficient : 0.42, testing : 0, under : 0.58, real : 0.47, world : 0.46, conditions : 0.42, recommendations : 0.49, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0, diverse : 0.44, datasets : 0.63, integration : 0.42, additional : 0.49, media : 0.58, spectral : 0.43, data : 0.75, video : 0.46, enhance : 0.44, model : 0.46, robustness : 0.51 |
| 173. pola | 130 words | 0.66 | systematic : 0.45, literature : 0.57, review : 0, on : 0.58, the : 0, application : 0.51, of : 0.58, convolutional : 0.55, neural : 0.47, networks : 0.46, for : 0.53, rambutan : 0.46, fruit : 0, classification : 0.55, advances : 0.46, challenges : 0.4, and : 0, future : 0, directions : 0, nephelium : 0.57, lappaceum : 0.53, l : 0, is : 0, a : 0, tropical : 0.6, widely : 0.47, cultivated : 0.57, in : 0, southeast : 0.57, asia : 0.5, including : 0.45, indonesia : 0.45, manual : 0.47, types : 0, ripeness : 0.46, levels : 0.47, remains : 0.46, challenge : 0.41, due : 0, to : 0.58, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.47, process : 0.64, particularly : 0.6, large : 0, scale : 0.47, agricultural : 0.39, operations : 0.57, network : 0, cnn : 0, deep : 0, learning : 0.58, approach : 0.54, offers : 0.47, significant : 0, potential : 0.66, automating : 0.4, improving : 0.57, accuracy : 0.46, tasks : 0, by : 0, extracting : 0.45, complex : 0.6, visual : 0.47, features : 0.46, such : 0, as : 0, color : 0.63, texture : 0, this : 0, study : 0, employs : 0.6, slr : 0.53, evaluate : 0.42, relevant : 0.58, research : 0.46, from : 0.5, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0, trends : 0, utilizing : 0.45, purpose : 0.52, results : 0.46, demonstrate : 0.45, that : 0.5, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0.6, traditional : 0.45, methods : 0, like : 0, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0.46, limitations : 0.56, include : 0.46, restricted : 0, dataset : 0.46, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0.5, world : 0.63, conditions : 0.45, recommendations : 0.54, emphasize : 0.57, need : 0, larger : 0.61, more : 0.5, diverse : 0, datasets : 0.46, integration : 0.45, additional : 0.45, media : 0.48, spectral : 0.58, data : 0.5, video : 0, enhance : 0.46, model : 0.48, robustness : 0.45 |
| 174. gaya | 130 words | 0.75 | systematic : 0.57, literature : 0.45, review : 0, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0, neural : 0.47, networks : 0, for : 0, rambutan : 0.58, fruit : 0, classification : 0.55, advances : 0.58, challenges : 0.45, and : 0.53, future : 0, directions : 0, nephelium : 0, lappaceum : 0.57, l : 0, is : 0, a : 0.75, tropical : 0.46, widely : 0, cultivated : 0.45, in : 0, southeast : 0.45, asia : 0.67, including : 0, indonesia : 0, manual : 0.61, types : 0.48, ripeness : 0, levels : 0, remains : 0.46, challenge : 0.45, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.47, process : 0, particularly : 0.56, large : 0.48, scale : 0.48, agricultural : 0.39, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0.46, approach : 0.58, offers : 0, significant : 0.45, potential : 0, automating : 0.57, improving : 0, accuracy : 0.58, tasks : 0.48, by : 0.58, extracting : 0.45, complex : 0, visual : 0.47, features : 0.46, such : 0, as : 0.58, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0.58, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.6, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0.5, achieves : 0.46, superior : 0, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0, like : 0, k : 0, nearest : 0.46, neighbor : 0.46, knn : 0, however : 0, limitations : 0.45, include : 0, restricted : 0, dataset : 0.6, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0.5, world : 0, conditions : 0, recommendations : 0.44, emphasize : 0.45, need : 0, larger : 0.47, more : 0, diverse : 0, datasets : 0.58, integration : 0.56, additional : 0.45, media : 0.48, spectral : 0.46, data : 0.67, video : 0, enhance : 0.46, model : 0, robustness : 0 |
| 175. hidup | 130 words | 0.71 | systematic : 0, literature : 0.53, review : 0.46, on : 0, the : 0.51, application : 0.36, of : 0, convolutional : 0.43, neural : 0.46, networks : 0, for : 0, rambutan : 0.44, fruit : 0.47, classification : 0.42, advances : 0.44, challenges : 0.43, and : 0.51, future : 0.46, directions : 0.37, nephelium : 0.37, lappaceum : 0.44, l : 0, is : 0.57, a : 0, tropical : 0.38, widely : 0.58, cultivated : 0.37, in : 0.57, southeast : 0.44, asia : 0.48, including : 0.53, indonesia : 0.54, manual : 0.46, types : 0, ripeness : 0.55, levels : 0, remains : 0, challenge : 0.44, due : 0, to : 0, high : 0.71, subjectivity : 0.43, time : 0.48, intensive : 0.44, nature : 0.46, process : 0, particularly : 0.45, large : 0, scale : 0, agricultural : 0.52, operations : 0.43, network : 0, cnn : 0, deep : 0.48, learning : 0, approach : 0.44, offers : 0, significant : 0.43, potential : 0, automating : 0.43, improving : 0.54, accuracy : 0.44, tasks : 0, by : 0, extracting : 0, complex : 0.45, visual : 0.58, features : 0.44, such : 0, as : 0, color : 0, texture : 0.45, this : 0.63, study : 0.43, employs : 0.45, slr : 0, evaluate : 0.44, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.55, trends : 0.46, utilizing : 0.37, purpose : 0.56, results : 0.45, demonstrate : 0.43, that : 0.48, achieves : 0.55, superior : 0.55, 90 : 0, compared : 0.44, traditional : 0.36, methods : 0, like : 0.48, k : 0, nearest : 0, neighbor : 0.44, knn : 0, however : 0.5, limitations : 0.43, include : 0.56, restricted : 0.43, dataset : 0.45, diversity : 0.37, insufficient : 0.52, testing : 0, under : 0.47, real : 0, world : 0, conditions : 0.37, recommendations : 0.42, emphasize : 0.37, need : 0.48, larger : 0, more : 0, diverse : 0.4, datasets : 0.44, integration : 0.43, additional : 0.37, media : 0.47, spectral : 0.44, data : 0, video : 0.6, enhance : 0.45, model : 0.47, robustness : 0.43 |
| 176. terbiasa | 130 words | 0.74 | systematic : 0.58, literature : 0.58, review : 0.51, on : 0, the : 0.67, application : 0.48, of : 0, convolutional : 0.47, neural : 0.63, networks : 0.58, for : 0.49, rambutan : 0.58, fruit : 0.55, classification : 0.47, advances : 0.5, challenges : 0.45, and : 0, future : 0.53, directions : 0.55, nephelium : 0.49, lappaceum : 0.41, l : 0, is : 0, a : 0, tropical : 0.7, widely : 0.36, cultivated : 0.56, in : 0, southeast : 0.57, asia : 0.58, including : 0.41, indonesia : 0.4, manual : 0.43, types : 0.69, ripeness : 0.54, levels : 0.53, remains : 0.65, challenge : 0.41, due : 0.49, to : 0.59, high : 0.46, subjectivity : 0.43, time : 0.64, intensive : 0.56, nature : 0.53, process : 0.49, particularly : 0.58, large : 0.38, scale : 0.38, agricultural : 0.49, operations : 0.64, network : 0.49, cnn : 0, deep : 0.46, learning : 0.54, approach : 0.5, offers : 0.63, significant : 0.48, potential : 0.65, automating : 0.45, improving : 0.49, accuracy : 0.5, tasks : 0.6, by : 0.54, extracting : 0.58, complex : 0, visual : 0.53, features : 0.62, such : 0, as : 0, color : 0.44, texture : 0.68, this : 0.74, study : 0.44, employs : 0.51, slr : 0.49, evaluate : 0.58, relevant : 0.47, research : 0.47, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.5, trends : 0.67, utilizing : 0.49, purpose : 0.51, results : 0.49, demonstrate : 0.44, that : 0.63, achieves : 0.47, superior : 0.58, 90 : 0, compared : 0.33, traditional : 0.66, methods : 0.49, like : 0.42, k : 0, nearest : 0.61, neighbor : 0.47, knn : 0, however : 0.42, limitations : 0.54, include : 0, restricted : 0.58, dataset : 0.6, diversity : 0.52, insufficient : 0.47, testing : 0.68, under : 0.55, real : 0.6, world : 0.44, conditions : 0.48, recommendations : 0.41, emphasize : 0.52, need : 0.46, larger : 0.36, more : 0.42, diverse : 0.57, datasets : 0.58, integration : 0.56, additional : 0.45, media : 0.66, spectral : 0.58, data : 0.58, video : 0.38, enhance : 0.51, model : 0.44, robustness : 0.56 |
| 177. belanja | 130 words | 0.71 | systematic : 0.5, literature : 0.47, review : 0.44, on : 0, the : 0.49, application : 0.46, of : 0, convolutional : 0.44, neural : 0.54, networks : 0.42, for : 0, rambutan : 0.52, fruit : 0, classification : 0.55, advances : 0.49, challenges : 0.57, and : 0, future : 0, directions : 0.5, nephelium : 0.5, lappaceum : 0.59, l : 0.71, is : 0, a : 0, tropical : 0.42, widely : 0.54, cultivated : 0.5, in : 0, southeast : 0.42, asia : 0.46, including : 0.34, indonesia : 0.5, manual : 0.64, types : 0.45, ripeness : 0.51, levels : 0.37, remains : 0.62, challenge : 0.48, due : 0.49, to : 0, high : 0, subjectivity : 0.45, time : 0.46, intensive : 0.34, nature : 0.44, process : 0, particularly : 0.45, large : 0.56, scale : 0.4, agricultural : 0.45, operations : 0.58, network : 0.43, cnn : 0.49, deep : 0.46, learning : 0.61, approach : 0.51, offers : 0.44, significant : 0.49, potential : 0.59, automating : 0.47, improving : 0.42, accuracy : 0.51, tasks : 0.45, by : 0.59, extracting : 0.58, complex : 0.43, visual : 0.44, features : 0.51, such : 0, as : 0, color : 0.45, texture : 0.43, this : 0, study : 0, employs : 0.52, slr : 0.49, evaluate : 0.61, relevant : 0.69, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.43, identify : 0.51, trends : 0.54, utilizing : 0.5, purpose : 0, results : 0.52, demonstrate : 0.57, that : 0.46, achieves : 0.35, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.57, methods : 0.43, like : 0.43, k : 0, nearest : 0.52, neighbor : 0.42, knn : 0.49, however : 0.43, limitations : 0.49, include : 0.43, restricted : 0.41, dataset : 0.43, diversity : 0.42, insufficient : 0.41, testing : 0.52, under : 0.45, real : 0.62, world : 0.45, conditions : 0.41, recommendations : 0.43, emphasize : 0.5, need : 0.46, larger : 0.54, more : 0.46, diverse : 0.43, datasets : 0.51, integration : 0.4, additional : 0.58, media : 0.56, spectral : 0.51, data : 0.46, video : 0.45, enhance : 0.62, model : 0.56, robustness : 0.5 |
| 178. melalui | 130 words | 0.74 | systematic : 0.58, literature : 0.57, review : 0.44, on : 0, the : 0.49, application : 0.46, of : 0, convolutional : 0.55, neural : 0.64, networks : 0.42, for : 0, rambutan : 0.49, fruit : 0, classification : 0.55, advances : 0.42, challenges : 0.53, and : 0, future : 0.44, directions : 0.5, nephelium : 0.59, lappaceum : 0.59, l : 0.71, is : 0, a : 0, tropical : 0.43, widely : 0.54, cultivated : 0.49, in : 0, southeast : 0.34, asia : 0.46, including : 0.59, indonesia : 0.42, manual : 0.7, types : 0.45, ripeness : 0.42, levels : 0.53, remains : 0.63, challenge : 0.48, due : 0.49, to : 0, high : 0, subjectivity : 0.45, time : 0.6, intensive : 0.5, nature : 0.54, process : 0, particularly : 0.51, large : 0.56, scale : 0.4, agricultural : 0.51, operations : 0.58, network : 0.43, cnn : 0, deep : 0.46, learning : 0.61, approach : 0.42, offers : 0.44, significant : 0.41, potential : 0.5, automating : 0.53, improving : 0.5, accuracy : 0.51, tasks : 0.45, by : 0, extracting : 0.58, complex : 0.52, visual : 0.48, features : 0.6, such : 0, as : 0, color : 0.45, texture : 0.52, this : 0, study : 0, employs : 0.51, slr : 0.49, evaluate : 0.61, relevant : 0.6, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.35, identify : 0.51, trends : 0.44, utilizing : 0.5, purpose : 0, results : 0.51, demonstrate : 0.32, that : 0.46, achieves : 0.43, superior : 0.51, 90 : 0, compared : 0.51, traditional : 0.49, methods : 0.62, like : 0.43, k : 0, nearest : 0.52, neighbor : 0.42, knn : 0, however : 0.43, limitations : 0.48, include : 0.52, restricted : 0.5, dataset : 0.43, diversity : 0.5, insufficient : 0.48, testing : 0.52, under : 0.45, real : 0.62, world : 0.45, conditions : 0.41, recommendations : 0.53, emphasize : 0.59, need : 0.46, larger : 0.54, more : 0.64, diverse : 0.43, datasets : 0.42, integration : 0.57, additional : 0.5, media : 0.74, spectral : 0.6, data : 0.46, video : 0.45, enhance : 0.52, model : 0.71, robustness : 0.41 |
| 179. perangkat | 130 words | 0.7 | systematic : 0.54, literature : 0.61, review : 0.35, on : 0.54, the : 0.48, application : 0.52, of : 0, convolutional : 0.41, neural : 0.61, networks : 0.57, for : 0.48, rambutan : 0.66, fruit : 0.44, classification : 0.52, advances : 0.49, challenges : 0.53, and : 0.63, future : 0.43, directions : 0.45, nephelium : 0.31, lappaceum : 0.44, l : 0, is : 0, a : 0.7, tropical : 0.46, widely : 0.43, cultivated : 0.47, in : 0.54, southeast : 0.48, asia : 0.45, including : 0.48, indonesia : 0.48, manual : 0.61, types : 0.54, ripeness : 0.52, levels : 0.43, remains : 0.59, challenge : 0.56, due : 0.48, to : 0, high : 0.45, subjectivity : 0.46, time : 0.45, intensive : 0.31, nature : 0.35, process : 0.53, particularly : 0.57, large : 0.62, scale : 0.37, agricultural : 0.49, operations : 0.7, network : 0.59, cnn : 0.48, deep : 0.41, learning : 0.66, approach : 0.52, offers : 0.52, significant : 0.52, potential : 0.67, automating : 0.55, improving : 0.63, accuracy : 0.46, tasks : 0.54, by : 0, extracting : 0.67, complex : 0.42, visual : 0.43, features : 0.46, such : 0, as : 0.54, color : 0.44, texture : 0.5, this : 0, study : 0, employs : 0.34, slr : 0.48, evaluate : 0.65, relevant : 0.66, research : 0.46, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.49, identify : 0.49, trends : 0.5, utilizing : 0.48, purpose : 0.55, results : 0.48, demonstrate : 0.52, that : 0.45, achieves : 0.32, superior : 0.57, 90 : 0, compared : 0.46, traditional : 0.57, methods : 0.42, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.49, knn : 0.48, however : 0.42, limitations : 0.3, include : 0.42, restricted : 0.43, dataset : 0.5, diversity : 0.56, insufficient : 0.46, testing : 0.59, under : 0.48, real : 0.58, world : 0.44, conditions : 0.47, recommendations : 0.5, emphasize : 0.44, need : 0.45, larger : 0.58, more : 0.41, diverse : 0.5, datasets : 0.49, integration : 0.6, additional : 0.49, media : 0.54, spectral : 0.65, data : 0.45, video : 0.44, enhance : 0.48, model : 0.44, robustness : 0.43 |
| 180. kemajuan | 130 words | 0.74 | systematic : 0.56, literature : 0.56, review : 0.43, on : 0, the : 0.49, application : 0.55, of : 0, convolutional : 0.37, neural : 0.51, networks : 0.42, for : 0, rambutan : 0.68, fruit : 0.44, classification : 0.53, advances : 0.58, challenges : 0.45, and : 0.49, future : 0.43, directions : 0.48, nephelium : 0.49, lappaceum : 0.46, l : 0, is : 0, a : 0.71, tropical : 0.42, widely : 0.43, cultivated : 0.32, in : 0, southeast : 0.32, asia : 0.58, including : 0.49, indonesia : 0.32, manual : 0.72, types : 0.44, ripeness : 0.5, levels : 0.43, remains : 0.69, challenge : 0.49, due : 0.49, to : 0, high : 0, subjectivity : 0.43, time : 0.42, intensive : 0.49, nature : 0.53, process : 0.42, particularly : 0.54, large : 0.38, scale : 0.38, agricultural : 0.54, operations : 0.56, network : 0.42, cnn : 0, deep : 0.46, learning : 0.58, approach : 0.5, offers : 0.43, significant : 0.31, potential : 0.46, automating : 0.61, improving : 0.49, accuracy : 0.58, tasks : 0.38, by : 0, extracting : 0.56, complex : 0.42, visual : 0.36, features : 0.58, such : 0, as : 0.54, color : 0, texture : 0.51, this : 0, study : 0.44, employs : 0.51, slr : 0, evaluate : 0.67, relevant : 0.58, research : 0.5, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.42, identify : 0.42, trends : 0.43, utilizing : 0.41, purpose : 0, results : 0.51, demonstrate : 0.54, that : 0.46, achieves : 0.33, superior : 0.42, 90 : 0, compared : 0.5, traditional : 0.44, methods : 0.35, like : 0.58, k : 0.74, nearest : 0.51, neighbor : 0.42, knn : 0.54, however : 0.42, limitations : 0.55, include : 0.42, restricted : 0.41, dataset : 0.51, diversity : 0.41, insufficient : 0.47, testing : 0.51, under : 0.44, real : 0.58, world : 0, conditions : 0.41, recommendations : 0.51, emphasize : 0.57, need : 0.46, larger : 0.36, more : 0.42, diverse : 0.42, datasets : 0.5, integration : 0.55, additional : 0.45, media : 0.55, spectral : 0.5, data : 0.58, video : 0.44, enhance : 0.6, model : 0.38, robustness : 0.48 |
| 181. teknologi | 130 words | 0.77 | systematic : 0.54, literature : 0.47, review : 0.43, on : 0.54, the : 0.67, application : 0.42, of : 0, convolutional : 0.51, neural : 0.5, networks : 0.56, for : 0.48, rambutan : 0, fruit : 0, classification : 0.4, advances : 0.41, challenges : 0.49, and : 0.48, future : 0.43, directions : 0.43, nephelium : 0.55, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.61, widely : 0.52, cultivated : 0.43, in : 0.54, southeast : 0.31, asia : 0, including : 0.55, indonesia : 0.56, manual : 0.52, types : 0.59, ripeness : 0.49, levels : 0.52, remains : 0.5, challenge : 0.44, due : 0.48, to : 0.77, high : 0, subjectivity : 0.46, time : 0.62, intensive : 0.5, nature : 0.35, process : 0.34, particularly : 0.42, large : 0.44, scale : 0.37, agricultural : 0.3, operations : 0.45, network : 0.59, cnn : 0.48, deep : 0.45, learning : 0.56, approach : 0.41, offers : 0.43, significant : 0.47, potential : 0.61, automating : 0.53, improving : 0.44, accuracy : 0, tasks : 0.59, by : 0, extracting : 0.45, complex : 0.5, visual : 0.43, features : 0.32, such : 0, as : 0, color : 0.64, texture : 0.6, this : 0.51, study : 0.44, employs : 0.48, slr : 0, evaluate : 0.49, relevant : 0.46, research : 0.41, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.57, trends : 0.65, utilizing : 0.55, purpose : 0.42, results : 0.5, demonstrate : 0.42, that : 0.51, achieves : 0.41, superior : 0.46, 90 : 0, compared : 0.41, traditional : 0.48, methods : 0.48, like : 0.41, k : 0.7, nearest : 0.34, neighbor : 0.46, knn : 0.63, however : 0.34, limitations : 0.42, include : 0.5, restricted : 0.43, dataset : 0.42, diversity : 0.48, insufficient : 0.46, testing : 0.74, under : 0.37, real : 0.57, world : 0.54, conditions : 0.45, recommendations : 0.5, emphasize : 0.48, need : 0.41, larger : 0.43, more : 0.41, diverse : 0.42, datasets : 0.41, integration : 0.57, additional : 0.59, media : 0.44, spectral : 0.49, data : 0.45, video : 0.54, enhance : 0.5, model : 0.53, robustness : 0.31 |
| 182. pengalaman | 130 words | 0.72 | systematic : 0.42, literature : 0.47, review : 0.42, on : 0.53, the : 0.48, application : 0.58, of : 0, convolutional : 0.49, neural : 0.61, networks : 0.32, for : 0, rambutan : 0.56, fruit : 0, classification : 0.48, advances : 0.45, challenges : 0.5, and : 0.46, future : 0.42, directions : 0.47, nephelium : 0.62, lappaceum : 0.53, l : 0, is : 0, a : 0.7, tropical : 0.56, widely : 0.51, cultivated : 0.3, in : 0.53, southeast : 0.47, asia : 0.57, including : 0.54, indonesia : 0.43, manual : 0.52, types : 0.53, ripeness : 0.56, levels : 0.51, remains : 0.47, challenge : 0.52, due : 0.48, to : 0, high : 0.45, subjectivity : 0.39, time : 0.45, intensive : 0.31, nature : 0.43, process : 0.55, particularly : 0.62, large : 0.52, scale : 0.47, agricultural : 0.49, operations : 0.6, network : 0.33, cnn : 0.48, deep : 0.4, learning : 0.58, approach : 0.45, offers : 0.42, significant : 0.5, potential : 0.72, automating : 0.52, improving : 0.47, accuracy : 0.48, tasks : 0.43, by : 0, extracting : 0.53, complex : 0.47, visual : 0.51, features : 0.48, such : 0, as : 0.53, color : 0.43, texture : 0.41, this : 0, study : 0, employs : 0.47, slr : 0.48, evaluate : 0.63, relevant : 0.55, research : 0.48, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.47, identify : 0.48, trends : 0.51, utilizing : 0.47, purpose : 0.47, results : 0.5, demonstrate : 0.52, that : 0.45, achieves : 0.32, superior : 0.48, 90 : 0, compared : 0.48, traditional : 0.41, methods : 0.41, like : 0.45, k : 0, nearest : 0.47, neighbor : 0.45, knn : 0.48, however : 0.41, limitations : 0.46, include : 0.5, restricted : 0.4, dataset : 0.47, diversity : 0.4, insufficient : 0.46, testing : 0.58, under : 0.37, real : 0.68, world : 0.43, conditions : 0.47, recommendations : 0.51, emphasize : 0.43, need : 0.4, larger : 0.49, more : 0.45, diverse : 0.41, datasets : 0.45, integration : 0.58, additional : 0.52, media : 0.53, spectral : 0.63, data : 0.57, video : 0.43, enhance : 0.58, model : 0.53, robustness : 0.4 |
| 183. berbelanja | 130 words | 0.67 | systematic : 0.47, literature : 0.53, review : 0.49, on : 0, the : 0.48, application : 0.52, of : 0, convolutional : 0.34, neural : 0.61, networks : 0.48, for : 0.48, rambutan : 0.55, fruit : 0.43, classification : 0.48, advances : 0.39, challenges : 0.5, and : 0, future : 0.34, directions : 0.42, nephelium : 0.54, lappaceum : 0.31, l : 0, is : 0, a : 0, tropical : 0.45, widely : 0.51, cultivated : 0.37, in : 0, southeast : 0.47, asia : 0.45, including : 0.47, indonesia : 0.38, manual : 0.34, types : 0.43, ripeness : 0.47, levels : 0.6, remains : 0.57, challenge : 0.52, due : 0.48, to : 0, high : 0, subjectivity : 0.41, time : 0.45, intensive : 0.43, nature : 0.34, process : 0.33, particularly : 0.45, large : 0.37, scale : 0.52, agricultural : 0.52, operations : 0.6, network : 0.5, cnn : 0, deep : 0.57, learning : 0.55, approach : 0.48, offers : 0.51, significant : 0.29, potential : 0.53, automating : 0.47, improving : 0.47, accuracy : 0.48, tasks : 0, by : 0.58, extracting : 0.6, complex : 0.33, visual : 0.34, features : 0.51, such : 0, as : 0, color : 0.37, texture : 0.58, this : 0, study : 0, employs : 0.5, slr : 0.46, evaluate : 0.64, relevant : 0.67, research : 0.55, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.45, identify : 0.48, trends : 0.49, utilizing : 0.47, purpose : 0.5, results : 0.47, demonstrate : 0.41, that : 0.45, achieves : 0.48, superior : 0.48, 90 : 0, compared : 0.39, traditional : 0.59, methods : 0.41, like : 0.45, k : 0, nearest : 0.53, neighbor : 0.48, knn : 0, however : 0.47, limitations : 0.46, include : 0.33, restricted : 0.42, dataset : 0.33, diversity : 0.47, insufficient : 0.46, testing : 0.5, under : 0.53, real : 0.63, world : 0.53, conditions : 0.4, recommendations : 0.48, emphasize : 0.43, need : 0.57, larger : 0.34, more : 0.4, diverse : 0.58, datasets : 0.32, integration : 0.59, additional : 0.42, media : 0.53, spectral : 0.55, data : 0.45, video : 0.43, enhance : 0.53, model : 0.53, robustness : 0.43 |
| 184. meliputi | 130 words | 0.73 | systematic : 0.45, literature : 0.54, review : 0.53, on : 0, the : 0.49, application : 0.59, of : 0, convolutional : 0.48, neural : 0.51, networks : 0.42, for : 0, rambutan : 0.58, fruit : 0.55, classification : 0.51, advances : 0, challenges : 0.32, and : 0, future : 0.43, directions : 0.55, nephelium : 0.63, lappaceum : 0.57, l : 0.71, is : 0.54, a : 0, tropical : 0.33, widely : 0.46, cultivated : 0.47, in : 0.54, southeast : 0.49, asia : 0.46, including : 0.56, indonesia : 0.49, manual : 0.56, types : 0.38, ripeness : 0.42, levels : 0.36, remains : 0.49, challenge : 0.41, due : 0.49, to : 0, high : 0.46, subjectivity : 0.55, time : 0.54, intensive : 0.46, nature : 0.43, process : 0.42, particularly : 0.55, large : 0.38, scale : 0.38, agricultural : 0.49, operations : 0.47, network : 0.42, cnn : 0, deep : 0.58, learning : 0.47, approach : 0.42, offers : 0.43, significant : 0.44, potential : 0.46, automating : 0.47, improving : 0.56, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.45, complex : 0.49, visual : 0.46, features : 0.47, such : 0, as : 0, color : 0.44, texture : 0.49, this : 0.46, study : 0.44, employs : 0.52, slr : 0.49, evaluate : 0.67, relevant : 0.58, research : 0.42, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.58, trends : 0.43, utilizing : 0.46, purpose : 0.42, results : 0.61, demonstrate : 0.44, that : 0.46, achieves : 0.33, superior : 0.42, 90 : 0, compared : 0.5, traditional : 0.55, methods : 0.61, like : 0.54, k : 0, nearest : 0.51, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.53, include : 0.49, restricted : 0.45, dataset : 0.42, diversity : 0.48, insufficient : 0.53, testing : 0.49, under : 0.44, real : 0.58, world : 0.44, conditions : 0.56, recommendations : 0.51, emphasize : 0.48, need : 0.46, larger : 0.36, more : 0.63, diverse : 0.35, datasets : 0.42, integration : 0.5, additional : 0.56, media : 0.73, spectral : 0.47, data : 0, video : 0.38, enhance : 0.42, model : 0.69, robustness : 0.48 |
| 185. hingga | 130 words | 0.8 | systematic : 0.42, literature : 0.51, review : 0.44, on : 0.56, the : 0.5, application : 0.51, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.43, for : 0, rambutan : 0.43, fruit : 0.46, classification : 0.33, advances : 0.36, challenges : 0.56, and : 0.5, future : 0, directions : 0.42, nephelium : 0.35, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0.53, widely : 0.44, cultivated : 0.51, in : 0.78, southeast : 0.43, asia : 0.61, including : 0.52, indonesia : 0.61, manual : 0.56, types : 0, ripeness : 0.53, levels : 0, remains : 0.44, challenge : 0.5, due : 0, to : 0, high : 0.8, subjectivity : 0, time : 0.47, intensive : 0.52, nature : 0.44, process : 0, particularly : 0.33, large : 0.46, scale : 0, agricultural : 0.47, operations : 0.42, network : 0.44, cnn : 0.5, deep : 0, learning : 0.46, approach : 0.43, offers : 0, significant : 0.59, potential : 0.52, automating : 0.42, improving : 0.43, accuracy : 0.43, tasks : 0, by : 0, extracting : 0.42, complex : 0, visual : 0.56, features : 0.43, such : 0, as : 0, color : 0, texture : 0, this : 0.61, study : 0, employs : 0, slr : 0, evaluate : 0.43, relevant : 0.43, research : 0.43, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.53, identify : 0.53, trends : 0.44, utilizing : 0.43, purpose : 0, results : 0, demonstrate : 0.51, that : 0.47, achieves : 0.53, superior : 0, 90 : 0, compared : 0.43, traditional : 0.34, methods : 0, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.51, knn : 0.5, however : 0.49, limitations : 0.51, include : 0.54, restricted : 0.42, dataset : 0.44, diversity : 0.43, insufficient : 0.5, testing : 0.44, under : 0.46, real : 0, world : 0, conditions : 0.34, recommendations : 0.49, emphasize : 0.52, need : 0.47, larger : 0.44, more : 0, diverse : 0.44, datasets : 0.43, integration : 0.68, additional : 0.51, media : 0.58, spectral : 0.43, data : 0.47, video : 0.46, enhance : 0.53, model : 0, robustness : 0.42 |
| 186. kesiapan | 130 words | 0.74 | systematic : 0.45, literature : 0.45, review : 0.53, on : 0, the : 0.49, application : 0.59, of : 0, convolutional : 0.37, neural : 0.53, networks : 0.42, for : 0, rambutan : 0.58, fruit : 0.44, classification : 0.56, advances : 0.5, challenges : 0.45, and : 0, future : 0, directions : 0.45, nephelium : 0.46, lappaceum : 0.57, l : 0, is : 0.58, a : 0, tropical : 0.42, widely : 0.36, cultivated : 0.48, in : 0.54, southeast : 0.49, asia : 0.71, including : 0.49, indonesia : 0.46, manual : 0.53, types : 0.49, ripeness : 0.54, levels : 0.53, remains : 0.61, challenge : 0.49, due : 0.49, to : 0, high : 0.46, subjectivity : 0.43, time : 0.42, intensive : 0.48, nature : 0.43, process : 0.51, particularly : 0.53, large : 0.38, scale : 0.49, agricultural : 0.43, operations : 0.61, network : 0.42, cnn : 0, deep : 0.58, learning : 0.54, approach : 0.33, offers : 0.53, significant : 0.54, potential : 0.52, automating : 0.55, improving : 0.57, accuracy : 0.42, tasks : 0.55, by : 0, extracting : 0.55, complex : 0.42, visual : 0.51, features : 0.5, such : 0.46, as : 0.54, color : 0, texture : 0.42, this : 0.42, study : 0.44, employs : 0.51, slr : 0.49, evaluate : 0.58, relevant : 0.58, research : 0.58, from : 0, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.42, identify : 0.33, trends : 0.53, utilizing : 0.49, purpose : 0.35, results : 0.51, demonstrate : 0.5, that : 0.46, achieves : 0.33, superior : 0.5, 90 : 0, compared : 0.33, traditional : 0.45, methods : 0.42, like : 0.54, k : 0.74, nearest : 0.49, neighbor : 0.5, knn : 0.54, however : 0.42, limitations : 0.55, include : 0.42, restricted : 0.56, dataset : 0.49, diversity : 0.4, insufficient : 0.43, testing : 0.69, under : 0.44, real : 0.58, world : 0, conditions : 0.48, recommendations : 0.41, emphasize : 0.59, need : 0.46, larger : 0.36, more : 0.46, diverse : 0.43, datasets : 0.47, integration : 0.54, additional : 0.47, media : 0.66, spectral : 0.47, data : 0.58, video : 0.38, enhance : 0.6, model : 0.44, robustness : 0.48 |
| 187. kurangnya | 130 words | 0.73 | systematic : 0.4, literature : 0.47, review : 0.43, on : 0.54, the : 0, application : 0.42, of : 0, convolutional : 0.5, neural : 0.61, networks : 0.41, for : 0.48, rambutan : 0.56, fruit : 0.37, classification : 0.46, advances : 0.49, challenges : 0.54, and : 0.63, future : 0.52, directions : 0.47, nephelium : 0, lappaceum : 0.41, l : 0, is : 0, a : 0.7, tropical : 0.49, widely : 0.43, cultivated : 0.47, in : 0.54, southeast : 0.48, asia : 0.45, including : 0.46, indonesia : 0.56, manual : 0.44, types : 0, ripeness : 0.49, levels : 0, remains : 0.59, challenge : 0.56, due : 0.48, to : 0, high : 0.45, subjectivity : 0.46, time : 0, intensive : 0.48, nature : 0.44, process : 0.42, particularly : 0.52, large : 0.53, scale : 0.44, agricultural : 0.52, operations : 0.54, network : 0.42, cnn : 0.48, deep : 0, learning : 0.59, approach : 0.46, offers : 0.43, significant : 0.44, potential : 0.48, automating : 0.52, improving : 0.56, accuracy : 0.56, tasks : 0.37, by : 0, extracting : 0.61, complex : 0, visual : 0.52, features : 0.4, such : 0.45, as : 0.54, color : 0.44, texture : 0.5, this : 0, study : 0.54, employs : 0.42, slr : 0.48, evaluate : 0.46, relevant : 0.57, research : 0.49, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.57, identify : 0.49, trends : 0.52, utilizing : 0.56, purpose : 0.5, results : 0.34, demonstrate : 0.47, that : 0.45, achieves : 0.41, superior : 0.49, 90 : 0, compared : 0.32, traditional : 0.6, methods : 0, like : 0.45, k : 0.73, nearest : 0.34, neighbor : 0.41, knn : 0.67, however : 0, limitations : 0.47, include : 0.34, restricted : 0.4, dataset : 0.42, diversity : 0.48, insufficient : 0.42, testing : 0.5, under : 0.53, real : 0.57, world : 0.44, conditions : 0.47, recommendations : 0.4, emphasize : 0.41, need : 0, larger : 0.5, more : 0.45, diverse : 0.42, datasets : 0.41, integration : 0.54, additional : 0.54, media : 0.44, spectral : 0.49, data : 0.45, video : 0, enhance : 0.48, model : 0, robustness : 0.43 |
| 188. standar | 130 words | 0.81 | systematic : 0.62, literature : 0.47, review : 0, on : 0.55, the : 0.49, application : 0.49, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.49, for : 0, rambutan : 0.51, fruit : 0, classification : 0.44, advances : 0.57, challenges : 0.5, and : 0.81, future : 0.54, directions : 0.41, nephelium : 0.42, lappaceum : 0.5, l : 0, is : 0.55, a : 0.71, tropical : 0.51, widely : 0.44, cultivated : 0.5, in : 0.55, southeast : 0.63, asia : 0.62, including : 0.5, indonesia : 0.59, manual : 0.64, types : 0.45, ripeness : 0.42, levels : 0, remains : 0.52, challenge : 0.5, due : 0, to : 0.55, high : 0, subjectivity : 0.54, time : 0.46, intensive : 0.34, nature : 0.53, process : 0, particularly : 0.47, large : 0.45, scale : 0.61, agricultural : 0.45, operations : 0.47, network : 0.52, cnn : 0.49, deep : 0, learning : 0.49, approach : 0.49, offers : 0.44, significant : 0.61, potential : 0.59, automating : 0.47, improving : 0.42, accuracy : 0.49, tasks : 0.51, by : 0, extracting : 0.47, complex : 0, visual : 0.54, features : 0.49, such : 0.52, as : 0.6, color : 0.45, texture : 0.52, this : 0.46, study : 0.74, employs : 0, slr : 0.54, evaluate : 0.51, relevant : 0.51, research : 0.6, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.61, identify : 0.49, trends : 0.64, utilizing : 0.42, purpose : 0, results : 0.43, demonstrate : 0.48, that : 0.6, achieves : 0.42, superior : 0.56, 90 : 0, compared : 0.49, traditional : 0.65, methods : 0.52, like : 0, k : 0, nearest : 0.43, neighbor : 0.51, knn : 0.49, however : 0.43, limitations : 0.49, include : 0.52, restricted : 0.58, dataset : 0.51, diversity : 0.42, insufficient : 0.32, testing : 0.51, under : 0.68, real : 0.46, world : 0.45, conditions : 0.41, recommendations : 0.45, emphasize : 0.42, need : 0.46, larger : 0.54, more : 0, diverse : 0.43, datasets : 0.49, integration : 0.48, additional : 0.6, media : 0.4, spectral : 0.65, data : 0.62, video : 0.45, enhance : 0.36, model : 0.45, robustness : 0.58 |
| 189. halal | 130 words | 0.75 | systematic : 0.43, literature : 0.37, review : 0, on : 0, the : 0.51, application : 0.62, of : 0, convolutional : 0.43, neural : 0.58, networks : 0, for : 0, rambutan : 0.55, fruit : 0, classification : 0.49, advances : 0.55, challenges : 0.73, and : 0.51, future : 0, directions : 0, nephelium : 0.54, lappaceum : 0.53, l : 0, is : 0, a : 0.73, tropical : 0.55, widely : 0.46, cultivated : 0.53, in : 0, southeast : 0.44, asia : 0.63, including : 0.44, indonesia : 0, manual : 0.7, types : 0, ripeness : 0, levels : 0.58, remains : 0.45, challenge : 0.75, due : 0, to : 0, high : 0.54, subjectivity : 0, time : 0, intensive : 0, nature : 0.46, process : 0, particularly : 0.62, large : 0.47, scale : 0.6, agricultural : 0.52, operations : 0.43, network : 0, cnn : 0, deep : 0, learning : 0.38, approach : 0.55, offers : 0, significant : 0, potential : 0, automating : 0.53, improving : 0, accuracy : 0.55, tasks : 0.47, by : 0, extracting : 0.43, complex : 0.45, visual : 0.58, features : 0.44, such : 0, as : 0.57, color : 0.47, texture : 0, this : 0.48, study : 0, employs : 0.45, slr : 0.51, evaluate : 0.66, relevant : 0.55, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.55, identify : 0, trends : 0, utilizing : 0.44, purpose : 0, results : 0.45, demonstrate : 0, that : 0.63, achieves : 0.38, superior : 0, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0, like : 0, k : 0, nearest : 0.45, neighbor : 0, knn : 0, however : 0.5, limitations : 0.36, include : 0.45, restricted : 0, dataset : 0.56, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0.63, world : 0.47, conditions : 0, recommendations : 0.42, emphasize : 0.54, need : 0, larger : 0.41, more : 0, diverse : 0, datasets : 0.55, integration : 0.43, additional : 0.43, media : 0.47, spectral : 0.55, data : 0.63, video : 0, enhance : 0.56, model : 0.47, robustness : 0 |
| 190. sama | 130 words | 0.75 | systematic : 0.71, literature : 0.45, review : 0, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0, neural : 0.47, networks : 0, for : 0, rambutan : 0.71, fruit : 0, classification : 0.54, advances : 0.58, challenges : 0.45, and : 0.53, future : 0, directions : 0, nephelium : 0, lappaceum : 0.57, l : 0, is : 0.58, a : 0.75, tropical : 0.46, widely : 0, cultivated : 0.45, in : 0, southeast : 0.62, asia : 0.72, including : 0, indonesia : 0, manual : 0.64, types : 0, ripeness : 0, levels : 0, remains : 0.43, challenge : 0.45, due : 0, to : 0, high : 0, subjectivity : 0.5, time : 0.5, intensive : 0, nature : 0.47, process : 0, particularly : 0.56, large : 0.48, scale : 0.67, agricultural : 0.44, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0.46, approach : 0.58, offers : 0, significant : 0.5, potential : 0, automating : 0.68, improving : 0.45, accuracy : 0.58, tasks : 0.48, by : 0, extracting : 0.45, complex : 0.46, visual : 0.61, features : 0.46, such : 0.55, as : 0.67, color : 0, texture : 0, this : 0, study : 0.54, employs : 0.46, slr : 0.58, evaluate : 0.58, relevant : 0.46, research : 0.58, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.58, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0.46, demonstrate : 0.45, that : 0.5, achieves : 0.46, superior : 0.51, 90 : 0, compared : 0.42, traditional : 0.45, methods : 0.46, like : 0, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0, limitations : 0.39, include : 0, restricted : 0.45, dataset : 0.6, diversity : 0, insufficient : 0.44, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0, recommendations : 0.54, emphasize : 0.41, need : 0, larger : 0.47, more : 0, diverse : 0, datasets : 0.58, integration : 0.45, additional : 0.45, media : 0.48, spectral : 0.63, data : 0.67, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 191. diberbagai | 130 words | 0.75 | systematic : 0.53, literature : 0.6, review : 0.49, on : 0, the : 0.48, application : 0.52, of : 0, convolutional : 0.28, neural : 0.6, networks : 0.48, for : 0.48, rambutan : 0.45, fruit : 0.37, classification : 0.4, advances : 0.45, challenges : 0.42, and : 0.48, future : 0.34, directions : 0.68, nephelium : 0.47, lappaceum : 0.31, l : 0, is : 0.53, a : 0, tropical : 0.45, widely : 0.49, cultivated : 0.47, in : 0.53, southeast : 0.47, asia : 0.57, including : 0.43, indonesia : 0.55, manual : 0.42, types : 0.43, ripeness : 0.39, levels : 0.42, remains : 0.53, challenge : 0.43, due : 0.66, to : 0, high : 0.45, subjectivity : 0.52, time : 0.57, intensive : 0.54, nature : 0.34, process : 0.33, particularly : 0.49, large : 0.47, scale : 0.37, agricultural : 0.41, operations : 0.6, network : 0.5, cnn : 0, deep : 0.61, learning : 0.61, approach : 0.48, offers : 0.51, significant : 0.41, potential : 0.43, automating : 0.42, improving : 0.53, accuracy : 0.48, tasks : 0, by : 0.53, extracting : 0.6, complex : 0.41, visual : 0.51, features : 0.45, such : 0, as : 0, color : 0.43, texture : 0.5, this : 0.45, study : 0.43, employs : 0.41, slr : 0.48, evaluate : 0.56, relevant : 0.45, research : 0.45, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.32, identify : 0.55, trends : 0.49, utilizing : 0.43, purpose : 0.33, results : 0.33, demonstrate : 0.63, that : 0.45, achieves : 0.48, superior : 0.39, 90 : 0, compared : 0.45, traditional : 0.55, methods : 0.41, like : 0.57, k : 0, nearest : 0.47, neighbor : 0.54, knn : 0, however : 0.5, limitations : 0.52, include : 0.5, restricted : 0.42, dataset : 0.52, diversity : 0.75, insufficient : 0.46, testing : 0.47, under : 0.63, real : 0.57, world : 0.37, conditions : 0.53, recommendations : 0.47, emphasize : 0.54, need : 0.4, larger : 0.43, more : 0.4, diverse : 0.73, datasets : 0.5, integration : 0.63, additional : 0.52, media : 0.61, spectral : 0.56, data : 0.61, video : 0.52, enhance : 0.5, model : 0.53, robustness : 0.37 |
| 192. negara | 130 words | 0.8 | systematic : 0.51, literature : 0.49, review : 0.44, on : 0.56, the : 0.5, application : 0.51, of : 0, convolutional : 0.41, neural : 0.76, networks : 0.7, for : 0.5, rambutan : 0.53, fruit : 0, classification : 0.49, advances : 0.53, challenges : 0.34, and : 0.5, future : 0.44, directions : 0.34, nephelium : 0.61, lappaceum : 0.52, l : 0, is : 0, a : 0, tropical : 0.36, widely : 0.44, cultivated : 0.42, in : 0.56, southeast : 0.43, asia : 0.47, including : 0.43, indonesia : 0.52, manual : 0.56, types : 0.46, ripeness : 0.43, levels : 0.44, remains : 0.54, challenge : 0.43, due : 0.5, to : 0, high : 0.47, subjectivity : 0.42, time : 0.47, intensive : 0.52, nature : 0.7, process : 0, particularly : 0.58, large : 0.53, scale : 0.46, agricultural : 0.58, operations : 0.49, network : 0.71, cnn : 0.5, deep : 0.47, learning : 0.63, approach : 0.63, offers : 0.56, significant : 0.48, potential : 0.52, automating : 0.51, improving : 0.43, accuracy : 0.63, tasks : 0.46, by : 0, extracting : 0.49, complex : 0, visual : 0.44, features : 0.63, such : 0, as : 0, color : 0.46, texture : 0.54, this : 0, study : 0, employs : 0.44, slr : 0.5, evaluate : 0.63, relevant : 0.53, research : 0.63, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.51, identify : 0.36, trends : 0.44, utilizing : 0, purpose : 0.44, results : 0.44, demonstrate : 0.59, that : 0.47, achieves : 0.36, superior : 0.53, 90 : 0, compared : 0.53, traditional : 0.48, methods : 0.44, like : 0.47, k : 0, nearest : 0.8, neighbor : 0.78, knn : 0.5, however : 0.54, limitations : 0.42, include : 0.44, restricted : 0.34, dataset : 0.54, diversity : 0.52, insufficient : 0.42, testing : 0.44, under : 0.7, real : 0.61, world : 0.46, conditions : 0.42, recommendations : 0.4, emphasize : 0.52, need : 0.69, larger : 0.5, more : 0.44, diverse : 0.54, datasets : 0.53, integration : 0.7, additional : 0.51, media : 0.58, spectral : 0.51, data : 0.61, video : 0.46, enhance : 0.53, model : 0.46, robustness : 0.42 |
| 193. menjadikan | 130 words | 0.79 | systematic : 0.53, literature : 0.47, review : 0.51, on : 0.53, the : 0.48, application : 0.59, of : 0, convolutional : 0.49, neural : 0.49, networks : 0.45, for : 0, rambutan : 0.55, fruit : 0.43, classification : 0.56, advances : 0.39, challenges : 0.37, and : 0.66, future : 0.42, directions : 0.53, nephelium : 0.43, lappaceum : 0.47, l : 0, is : 0, a : 0.7, tropical : 0.32, widely : 0.34, cultivated : 0.37, in : 0.53, southeast : 0.47, asia : 0.57, including : 0.61, indonesia : 0.52, manual : 0.65, types : 0.43, ripeness : 0.48, levels : 0.42, remains : 0.57, challenge : 0.38, due : 0.48, to : 0, high : 0, subjectivity : 0.41, time : 0.57, intensive : 0.43, nature : 0.43, process : 0.41, particularly : 0.52, large : 0.37, scale : 0.37, agricultural : 0.52, operations : 0.6, network : 0.47, cnn : 0.48, deep : 0.45, learning : 0.64, approach : 0.48, offers : 0.42, significant : 0.5, potential : 0.53, automating : 0.53, improving : 0.54, accuracy : 0.48, tasks : 0.53, by : 0, extracting : 0.6, complex : 0.5, visual : 0.42, features : 0.48, such : 0, as : 0.53, color : 0, texture : 0.41, this : 0.45, study : 0.43, employs : 0.33, slr : 0, evaluate : 0.56, relevant : 0.45, research : 0.48, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.45, identify : 0.51, trends : 0.6, utilizing : 0.47, purpose : 0, results : 0.41, demonstrate : 0.5, that : 0.45, achieves : 0.39, superior : 0.48, 90 : 0, compared : 0.56, traditional : 0.58, methods : 0.66, like : 0.45, k : 0, nearest : 0.47, neighbor : 0.45, knn : 0.48, however : 0.41, limitations : 0.5, include : 0.5, restricted : 0.42, dataset : 0.33, diversity : 0.47, insufficient : 0.52, testing : 0.47, under : 0.47, real : 0.57, world : 0.43, conditions : 0.6, recommendations : 0.63, emphasize : 0.53, need : 0.57, larger : 0.34, more : 0.61, diverse : 0.41, datasets : 0.32, integration : 0.58, additional : 0.6, media : 0.79, spectral : 0.48, data : 0.45, video : 0.37, enhance : 0.58, model : 0.57, robustness : 0.4 |
| 194. kendala | 130 words | 0.74 | systematic : 0.5, literature : 0.5, review : 0.44, on : 0.55, the : 0.49, application : 0.57, of : 0, convolutional : 0.55, neural : 0.66, networks : 0.35, for : 0, rambutan : 0.51, fruit : 0, classification : 0.44, advances : 0.43, challenges : 0.49, and : 0.65, future : 0, directions : 0.33, nephelium : 0.48, lappaceum : 0.5, l : 0, is : 0, a : 0, tropical : 0.51, widely : 0.53, cultivated : 0.33, in : 0.55, southeast : 0.42, asia : 0.46, including : 0.48, indonesia : 0.59, manual : 0.64, types : 0.45, ripeness : 0.51, levels : 0.54, remains : 0.52, challenge : 0.5, due : 0.49, to : 0, high : 0, subjectivity : 0.41, time : 0.46, intensive : 0.34, nature : 0.44, process : 0, particularly : 0.56, large : 0, scale : 0.56, agricultural : 0.56, operations : 0.5, network : 0.36, cnn : 0.49, deep : 0.46, learning : 0.49, approach : 0.42, offers : 0.44, significant : 0.49, potential : 0.67, automating : 0.5, improving : 0, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.5, complex : 0.43, visual : 0.54, features : 0.51, such : 0, as : 0, color : 0, texture : 0.43, this : 0, study : 0.45, employs : 0.52, slr : 0, evaluate : 0.69, relevant : 0.49, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.6, identify : 0.43, trends : 0.64, utilizing : 0.42, purpose : 0, results : 0.52, demonstrate : 0.52, that : 0.46, achieves : 0.42, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.46, methods : 0.52, like : 0.6, k : 0.74, nearest : 0.51, neighbor : 0.35, knn : 0.69, however : 0.43, limitations : 0.41, include : 0.51, restricted : 0.41, dataset : 0.43, diversity : 0.34, insufficient : 0.41, testing : 0.43, under : 0.51, real : 0.73, world : 0.4, conditions : 0.5, recommendations : 0.61, emphasize : 0.5, need : 0.62, larger : 0, more : 0.46, diverse : 0.43, datasets : 0.6, integration : 0.46, additional : 0.49, media : 0.68, spectral : 0.6, data : 0.46, video : 0.4, enhance : 0.62, model : 0.57, robustness : 0.41 |
| 195. utama | 130 words | 0.73 | systematic : 0.52, literature : 0.53, review : 0, on : 0, the : 0.51, application : 0.53, of : 0, convolutional : 0, neural : 0.58, networks : 0.44, for : 0, rambutan : 0.66, fruit : 0, classification : 0.51, advances : 0.55, challenges : 0.43, and : 0, future : 0.58, directions : 0.43, nephelium : 0, lappaceum : 0.54, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0, cultivated : 0.63, in : 0, southeast : 0.64, asia : 0.48, including : 0, indonesia : 0, manual : 0.58, types : 0.47, ripeness : 0, levels : 0, remains : 0.4, challenge : 0.44, due : 0.51, to : 0.57, high : 0, subjectivity : 0.52, time : 0.63, intensive : 0.44, nature : 0.41, process : 0, particularly : 0.51, large : 0.47, scale : 0.47, agricultural : 0.36, operations : 0.37, network : 0.45, cnn : 0, deep : 0, learning : 0.44, approach : 0.55, offers : 0, significant : 0.43, potential : 0.54, automating : 0.73, improving : 0.44, accuracy : 0.55, tasks : 0.6, by : 0, extracting : 0.53, complex : 0.45, visual : 0.46, features : 0.38, such : 0.48, as : 0, color : 0, texture : 0.45, this : 0.48, study : 0.47, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.44, research : 0.44, from : 0.48, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.55, identify : 0.44, trends : 0.46, utilizing : 0.63, purpose : 0.45, results : 0, demonstrate : 0.53, that : 0.63, achieves : 0.44, superior : 0.44, 90 : 0, compared : 0.38, traditional : 0.53, methods : 0.45, like : 0, k : 0, nearest : 0.45, neighbor : 0, knn : 0, however : 0, limitations : 0.46, include : 0, restricted : 0.43, dataset : 0.57, diversity : 0, insufficient : 0.43, testing : 0.45, under : 0.52, real : 0.48, world : 0, conditions : 0.43, recommendations : 0.51, emphasize : 0.37, need : 0, larger : 0.46, more : 0, diverse : 0, datasets : 0.55, integration : 0.53, additional : 0.52, media : 0.47, spectral : 0.55, data : 0.67, video : 0, enhance : 0.45, model : 0, robustness : 0.53 |
| 196. memudahkan | 130 words | 0.79 | systematic : 0.53, literature : 0.42, review : 0.42, on : 0, the : 0.48, application : 0.46, of : 0, convolutional : 0.4, neural : 0.6, networks : 0.48, for : 0, rambutan : 0.61, fruit : 0.43, classification : 0.5, advances : 0.48, challenges : 0.42, and : 0.48, future : 0.34, directions : 0.42, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.41, widely : 0.34, cultivated : 0.47, in : 0, southeast : 0.45, asia : 0.45, including : 0.54, indonesia : 0.43, manual : 0.65, types : 0.43, ripeness : 0.41, levels : 0.42, remains : 0.57, challenge : 0.43, due : 0.66, to : 0, high : 0.45, subjectivity : 0.29, time : 0.57, intensive : 0.4, nature : 0.49, process : 0.41, particularly : 0.41, large : 0.37, scale : 0.37, agricultural : 0.41, operations : 0.53, network : 0.5, cnn : 0, deep : 0.4, learning : 0.56, approach : 0.48, offers : 0.42, significant : 0.46, potential : 0.47, automating : 0.52, improving : 0.47, accuracy : 0.48, tasks : 0.53, by : 0, extracting : 0.53, complex : 0.5, visual : 0.51, features : 0.45, such : 0.57, as : 0, color : 0, texture : 0.5, this : 0, study : 0.53, employs : 0.33, slr : 0, evaluate : 0.55, relevant : 0.56, research : 0.56, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.32, identify : 0.32, trends : 0.51, utilizing : 0.47, purpose : 0.41, results : 0.5, demonstrate : 0.5, that : 0.45, achieves : 0.32, superior : 0.32, 90 : 0, compared : 0.45, traditional : 0.42, methods : 0.66, like : 0.45, k : 0, nearest : 0.5, neighbor : 0.48, knn : 0, however : 0.41, limitations : 0.52, include : 0.5, restricted : 0.4, dataset : 0.41, diversity : 0.31, insufficient : 0.46, testing : 0.5, under : 0.47, real : 0.57, world : 0.43, conditions : 0.47, recommendations : 0.53, emphasize : 0.45, need : 0.57, larger : 0.34, more : 0.61, diverse : 0.33, datasets : 0.39, integration : 0.52, additional : 0.42, media : 0.79, spectral : 0.48, data : 0.57, video : 0.37, enhance : 0.47, model : 0.57, robustness : 0.47 |
| 197. integrasi | 130 words | 0.92 | systematic : 0.61, literature : 0.69, review : 0.35, on : 0.54, the : 0.63, application : 0.54, of : 0, convolutional : 0.5, neural : 0.7, networks : 0.66, for : 0.48, rambutan : 0.49, fruit : 0.54, classification : 0.45, advances : 0.52, challenges : 0.49, and : 0.48, future : 0.5, directions : 0.64, nephelium : 0.56, lappaceum : 0.31, l : 0, is : 0.58, a : 0, tropical : 0.49, widely : 0.52, cultivated : 0.43, in : 0.79, southeast : 0.63, asia : 0.57, including : 0.64, indonesia : 0.76, manual : 0.52, types : 0.64, ripeness : 0.56, levels : 0.52, remains : 0.59, challenge : 0.48, due : 0.48, to : 0.54, high : 0.57, subjectivity : 0.42, time : 0.58, intensive : 0.87, nature : 0.62, process : 0.5, particularly : 0.43, large : 0.53, scale : 0.44, agricultural : 0.52, operations : 0.59, network : 0.59, cnn : 0.48, deep : 0.45, learning : 0.56, approach : 0.49, offers : 0.61, significant : 0.54, potential : 0.54, automating : 0.54, improving : 0.6, accuracy : 0.49, tasks : 0.54, by : 0, extracting : 0.62, complex : 0.42, visual : 0.52, features : 0.56, such : 0, as : 0, color : 0.44, texture : 0.59, this : 0.41, study : 0.44, employs : 0.5, slr : 0.48, evaluate : 0.49, relevant : 0.49, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.66, trends : 0.58, utilizing : 0.44, purpose : 0.42, results : 0.48, demonstrate : 0.57, that : 0.45, achieves : 0.57, superior : 0.57, 90 : 0, compared : 0.46, traditional : 0.54, methods : 0.48, like : 0.57, k : 0, nearest : 0.67, neighbor : 0.63, knn : 0.48, however : 0.5, limitations : 0.6, include : 0.67, restricted : 0.53, dataset : 0.55, diversity : 0.7, insufficient : 0.67, testing : 0.59, under : 0.64, real : 0.45, world : 0.44, conditions : 0.55, recommendations : 0.56, emphasize : 0.63, need : 0.57, larger : 0.5, more : 0.41, diverse : 0.67, datasets : 0.52, integration : 0.92, additional : 0.53, media : 0.53, spectral : 0.56, data : 0.57, video : 0.54, enhance : 0.48, model : 0.44, robustness : 0.38 |
| 198. global | 130 words | 0.72 | systematic : 0.42, literature : 0.51, review : 0, on : 0.56, the : 0, application : 0.34, of : 0.56, convolutional : 0.33, neural : 0.56, networks : 0.43, for : 0.5, rambutan : 0.36, fruit : 0, classification : 0.49, advances : 0.43, challenges : 0.49, and : 0, future : 0, directions : 0, nephelium : 0.43, lappaceum : 0.52, l : 0.72, is : 0, a : 0, tropical : 0.63, widely : 0.44, cultivated : 0.51, in : 0, southeast : 0.52, asia : 0.47, including : 0.43, indonesia : 0.43, manual : 0.56, types : 0, ripeness : 0, levels : 0.56, remains : 0.44, challenge : 0.5, due : 0, to : 0.56, high : 0.47, subjectivity : 0.42, time : 0, intensive : 0, nature : 0, process : 0.44, particularly : 0.5, large : 0.46, scale : 0.41, agricultural : 0.42, operations : 0.51, network : 0.44, cnn : 0, deep : 0, learning : 0.53, approach : 0.53, offers : 0.44, significant : 0.51, potential : 0.61, automating : 0.34, improving : 0.43, accuracy : 0.43, tasks : 0, by : 0, extracting : 0.42, complex : 0.54, visual : 0.56, features : 0.43, such : 0, as : 0, color : 0.41, texture : 0, this : 0, study : 0, employs : 0.54, slr : 0.5, evaluate : 0.36, relevant : 0.53, research : 0.43, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.36, identify : 0, trends : 0, utilizing : 0.43, purpose : 0.44, results : 0.44, demonstrate : 0.51, that : 0.47, achieves : 0, superior : 0, 90 : 0, compared : 0.53, traditional : 0.42, methods : 0.44, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.53, knn : 0, however : 0.44, limitations : 0.51, include : 0.44, restricted : 0, dataset : 0.44, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0.44, world : 0.41, conditions : 0.42, recommendations : 0.49, emphasize : 0.43, need : 0, larger : 0.44, more : 0.47, diverse : 0, datasets : 0.43, integration : 0.51, additional : 0.49, media : 0.46, spectral : 0.53, data : 0.47, video : 0.46, enhance : 0.44, model : 0.58, robustness : 0.51 |
| 199. belum | 130 words | 0.66 | systematic : 0.53, literature : 0.52, review : 0.46, on : 0, the : 0.51, application : 0.43, of : 0, convolutional : 0.52, neural : 0.58, networks : 0.44, for : 0, rambutan : 0.49, fruit : 0.47, classification : 0.42, advances : 0, challenges : 0.37, and : 0, future : 0.46, directions : 0.43, nephelium : 0.54, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0, widely : 0.58, cultivated : 0.37, in : 0, southeast : 0.44, asia : 0, including : 0.54, indonesia : 0, manual : 0.46, types : 0, ripeness : 0.44, levels : 0.41, remains : 0.56, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.45, time : 0, intensive : 0.44, nature : 0.46, process : 0, particularly : 0.36, large : 0, scale : 0.47, agricultural : 0.36, operations : 0.43, network : 0.45, cnn : 0, deep : 0.48, learning : 0.38, approach : 0, offers : 0.46, significant : 0, potential : 0.44, automating : 0.53, improving : 0.44, accuracy : 0.44, tasks : 0, by : 0.61, extracting : 0.43, complex : 0.4, visual : 0.46, features : 0.55, such : 0, as : 0, color : 0.47, texture : 0.56, this : 0, study : 0.47, employs : 0.56, slr : 0.51, evaluate : 0.66, relevant : 0.55, research : 0.44, from : 0.48, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.44, trends : 0.46, utilizing : 0.37, purpose : 0.45, results : 0.57, demonstrate : 0.53, that : 0, achieves : 0.44, superior : 0.38, 90 : 0, compared : 0.44, traditional : 0, methods : 0.45, like : 0, k : 0, nearest : 0.45, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.53, include : 0.56, restricted : 0.43, dataset : 0, diversity : 0.44, insufficient : 0.43, testing : 0.45, under : 0, real : 0.63, world : 0.47, conditions : 0, recommendations : 0.51, emphasize : 0.54, need : 0.48, larger : 0.46, more : 0, diverse : 0.45, datasets : 0, integration : 0.43, additional : 0, media : 0.47, spectral : 0.44, data : 0, video : 0, enhance : 0.45, model : 0, robustness : 0.53 |
| 200. menerapkan | 130 words | 0.71 | systematic : 0.47, literature : 0.53, review : 0.49, on : 0.53, the : 0.48, application : 0.41, of : 0, convolutional : 0.4, neural : 0.61, networks : 0.55, for : 0.48, rambutan : 0.61, fruit : 0.43, classification : 0.5, advances : 0.39, challenges : 0.37, and : 0.48, future : 0.34, directions : 0.42, nephelium : 0.45, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0.45, widely : 0.42, cultivated : 0.4, in : 0.53, southeast : 0.47, asia : 0.45, including : 0.47, indonesia : 0.43, manual : 0.65, types : 0.37, ripeness : 0.58, levels : 0.51, remains : 0.6, challenge : 0.38, due : 0.48, to : 0, high : 0, subjectivity : 0.39, time : 0.57, intensive : 0.31, nature : 0.56, process : 0.33, particularly : 0.41, large : 0.52, scale : 0.37, agricultural : 0.41, operations : 0.6, network : 0.57, cnn : 0.48, deep : 0.68, learning : 0.64, approach : 0.39, offers : 0.51, significant : 0.52, potential : 0.54, automating : 0.53, improving : 0.53, accuracy : 0.48, tasks : 0.53, by : 0, extracting : 0.6, complex : 0.47, visual : 0.42, features : 0.55, such : 0, as : 0, color : 0.43, texture : 0.47, this : 0, study : 0, employs : 0.47, slr : 0.48, evaluate : 0.55, relevant : 0.58, research : 0.55, from : 0.4, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.45, identify : 0.48, trends : 0.43, utilizing : 0.4, purpose : 0.41, results : 0.33, demonstrate : 0.58, that : 0.45, achieves : 0.48, superior : 0.39, 90 : 0, compared : 0.58, traditional : 0.5, methods : 0.6, like : 0.45, k : 0, nearest : 0.6, neighbor : 0.45, knn : 0.48, however : 0.58, limitations : 0.52, include : 0.5, restricted : 0.3, dataset : 0.33, diversity : 0.47, insufficient : 0.46, testing : 0.5, under : 0.52, real : 0.57, world : 0.43, conditions : 0.47, recommendations : 0.65, emphasize : 0.45, need : 0.57, larger : 0.49, more : 0.62, diverse : 0.47, datasets : 0.32, integration : 0.58, additional : 0.3, media : 0.71, spectral : 0.56, data : 0.45, video : 0.43, enhance : 0.57, model : 0.58, robustness : 0.37 |
| 201. verifikasi | 130 words | 0.64 | systematic : 0.42, literature : 0.48, review : 0.61, on : 0, the : 0.48, application : 0.41, of : 0.53, convolutional : 0.51, neural : 0.6, networks : 0.63, for : 0.46, rambutan : 0.48, fruit : 0.47, classification : 0.57, advances : 0.56, challenges : 0.47, and : 0, future : 0.49, directions : 0.6, nephelium : 0.47, lappaceum : 0.4, l : 0, is : 0.53, a : 0, tropical : 0.56, widely : 0.34, cultivated : 0.47, in : 0.53, southeast : 0.54, asia : 0.57, including : 0.47, indonesia : 0.52, manual : 0.42, types : 0.53, ripeness : 0.51, levels : 0.49, remains : 0.6, challenge : 0.4, due : 0.48, to : 0, high : 0.45, subjectivity : 0.52, time : 0.4, intensive : 0.45, nature : 0.34, process : 0.47, particularly : 0.52, large : 0.37, scale : 0.43, agricultural : 0.52, operations : 0.6, network : 0.58, cnn : 0, deep : 0.45, learning : 0.56, approach : 0.48, offers : 0.56, significant : 0.52, potential : 0.54, automating : 0.3, improving : 0.43, accuracy : 0.48, tasks : 0.53, by : 0, extracting : 0.52, complex : 0.41, visual : 0.64, features : 0.51, such : 0, as : 0, color : 0.43, texture : 0.5, this : 0.45, study : 0, employs : 0.5, slr : 0.48, evaluate : 0.45, relevant : 0.55, research : 0.45, from : 0.4, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.47, trends : 0.49, utilizing : 0.54, purpose : 0.5, results : 0.47, demonstrate : 0.41, that : 0, achieves : 0.45, superior : 0.56, 90 : 0, compared : 0.32, traditional : 0.59, methods : 0.5, like : 0.52, k : 0, nearest : 0.58, neighbor : 0.48, knn : 0, however : 0.47, limitations : 0.58, include : 0.41, restricted : 0.42, dataset : 0.41, diversity : 0.59, insufficient : 0.58, testing : 0.5, under : 0.53, real : 0.4, world : 0.43, conditions : 0.53, recommendations : 0.48, emphasize : 0.49, need : 0.45, larger : 0.34, more : 0.4, diverse : 0.6, datasets : 0.39, integration : 0.48, additional : 0.53, media : 0.63, spectral : 0.56, data : 0.45, video : 0.57, enhance : 0.5, model : 0.43, robustness : 0.47 |
| 202. ketat | 130 words | 0.76 | systematic : 0.65, literature : 0.65, review : 0.46, on : 0, the : 0.51, application : 0.53, of : 0, convolutional : 0.43, neural : 0.58, networks : 0.55, for : 0, rambutan : 0.38, fruit : 0.47, classification : 0.51, advances : 0.44, challenges : 0.37, and : 0, future : 0.46, directions : 0.53, nephelium : 0.44, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0.46, cultivated : 0.63, in : 0, southeast : 0.54, asia : 0.48, including : 0, indonesia : 0, manual : 0.46, types : 0, ripeness : 0.44, levels : 0.46, remains : 0.56, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.52, time : 0, intensive : 0.37, nature : 0.41, process : 0, particularly : 0.36, large : 0, scale : 0.47, agricultural : 0.36, operations : 0.52, network : 0.56, cnn : 0, deep : 0.48, learning : 0.55, approach : 0.44, offers : 0.46, significant : 0, potential : 0.53, automating : 0.52, improving : 0, accuracy : 0.44, tasks : 0, by : 0, extracting : 0.73, complex : 0, visual : 0.46, features : 0.55, such : 0, as : 0, color : 0, texture : 0.57, this : 0, study : 0.47, employs : 0.45, slr : 0, evaluate : 0.66, relevant : 0.66, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.55, trends : 0.41, utilizing : 0.44, purpose : 0, results : 0.56, demonstrate : 0.53, that : 0.47, achieves : 0.38, superior : 0.44, 90 : 0, compared : 0.44, traditional : 0.62, methods : 0.56, like : 0, k : 0.76, nearest : 0.68, neighbor : 0.44, knn : 0.56, however : 0.45, limitations : 0.62, include : 0, restricted : 0.63, dataset : 0.57, diversity : 0.54, insufficient : 0, testing : 0.57, under : 0, real : 0.63, world : 0, conditions : 0.43, recommendations : 0.6, emphasize : 0.54, need : 0.48, larger : 0.46, more : 0, diverse : 0.45, datasets : 0.55, integration : 0.64, additional : 0.37, media : 0.6, spectral : 0.66, data : 0.63, video : 0, enhance : 0.56, model : 0, robustness : 0.43 |
| 203. literasi | 130 words | 0.87 | systematic : 0.58, literature : 0.87, review : 0.36, on : 0, the : 0.64, application : 0.62, of : 0, convolutional : 0.54, neural : 0.63, networks : 0.58, for : 0.49, rambutan : 0.5, fruit : 0.49, classification : 0.56, advances : 0.47, challenges : 0.51, and : 0, future : 0.51, directions : 0.67, nephelium : 0.49, lappaceum : 0.51, l : 0.74, is : 0.54, a : 0, tropical : 0.54, widely : 0.53, cultivated : 0.55, in : 0.54, southeast : 0.65, asia : 0.58, including : 0.46, indonesia : 0.63, manual : 0.43, types : 0.66, ripeness : 0.58, levels : 0.66, remains : 0.57, challenge : 0.4, due : 0.49, to : 0.54, high : 0.46, subjectivity : 0.43, time : 0.6, intensive : 0.73, nature : 0.51, process : 0.49, particularly : 0.44, large : 0.59, scale : 0.49, agricultural : 0.44, operations : 0.62, network : 0.49, cnn : 0, deep : 0.46, learning : 0.71, approach : 0.5, offers : 0.63, significant : 0.44, potential : 0.56, automating : 0.56, improving : 0.57, accuracy : 0.5, tasks : 0.55, by : 0, extracting : 0.64, complex : 0.42, visual : 0.53, features : 0.62, such : 0, as : 0, color : 0.55, texture : 0.6, this : 0.6, study : 0.44, employs : 0.49, slr : 0.64, evaluate : 0.42, relevant : 0.47, research : 0.47, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.58, trends : 0.64, utilizing : 0.56, purpose : 0.43, results : 0.49, demonstrate : 0.53, that : 0.58, achieves : 0.58, superior : 0.58, 90 : 0, compared : 0.47, traditional : 0.56, methods : 0.49, like : 0.77, k : 0, nearest : 0.61, neighbor : 0.47, knn : 0, however : 0.51, limitations : 0.72, include : 0.49, restricted : 0.54, dataset : 0.57, diversity : 0.73, insufficient : 0.54, testing : 0.43, under : 0.55, real : 0.54, world : 0.38, conditions : 0.55, recommendations : 0.51, emphasize : 0.65, need : 0.46, larger : 0.56, more : 0.42, diverse : 0.69, datasets : 0.54, integration : 0.77, additional : 0.55, media : 0.55, spectral : 0.58, data : 0.58, video : 0.55, enhance : 0.51, model : 0.44, robustness : 0.47 |
| 204. rendah | 130 words | 0.8 | systematic : 0.51, literature : 0.49, review : 0.64, on : 0.56, the : 0.5, application : 0.42, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.36, for : 0.5, rambutan : 0.58, fruit : 0.46, classification : 0.41, advances : 0.46, challenges : 0.52, and : 0.67, future : 0, directions : 0.43, nephelium : 0.5, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.53, widely : 0.39, cultivated : 0.42, in : 0.56, southeast : 0.35, asia : 0.47, including : 0.52, indonesia : 0.52, manual : 0.56, types : 0.46, ripeness : 0.66, levels : 0.44, remains : 0.71, challenge : 0.43, due : 0.5, to : 0, high : 0.47, subjectivity : 0.42, time : 0.47, intensive : 0.35, nature : 0.44, process : 0.44, particularly : 0.33, large : 0.46, scale : 0.46, agricultural : 0.33, operations : 0.49, network : 0.37, cnn : 0.5, deep : 0.47, learning : 0.56, approach : 0.63, offers : 0.44, significant : 0.51, potential : 0.61, automating : 0.42, improving : 0.43, accuracy : 0.43, tasks : 0, by : 0, extracting : 0.49, complex : 0, visual : 0.44, features : 0.53, such : 0.47, as : 0, color : 0, texture : 0.44, this : 0, study : 0.46, employs : 0.44, slr : 0.5, evaluate : 0.53, relevant : 0.7, research : 0.78, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.53, identify : 0.46, trends : 0.78, utilizing : 0, purpose : 0.44, results : 0.63, demonstrate : 0.55, that : 0.47, achieves : 0.36, superior : 0.43, 90 : 0, compared : 0.43, traditional : 0.48, methods : 0.53, like : 0.47, k : 0, nearest : 0.53, neighbor : 0.51, knn : 0.5, however : 0.44, limitations : 0.42, include : 0.54, restricted : 0.61, dataset : 0.44, diversity : 0.35, insufficient : 0.42, testing : 0.44, under : 0.53, real : 0.8, world : 0.58, conditions : 0.51, recommendations : 0.78, emphasize : 0.5, need : 0.64, larger : 0.44, more : 0.61, diverse : 0.44, datasets : 0.53, integration : 0.48, additional : 0.34, media : 0.7, spectral : 0.53, data : 0.47, video : 0.41, enhance : 0.64, model : 0.41, robustness : 0.56 |
| 205. menyebabkan | 130 words | 0.7 | systematic : 0.41, literature : 0.46, review : 0.51, on : 0.53, the : 0.47, application : 0.45, of : 0, convolutional : 0.39, neural : 0.48, networks : 0.44, for : 0, rambutan : 0.62, fruit : 0, classification : 0.5, advances : 0.38, challenges : 0.42, and : 0.47, future : 0.42, directions : 0.46, nephelium : 0.42, lappaceum : 0.3, l : 0, is : 0, a : 0, tropical : 0.41, widely : 0.51, cultivated : 0.29, in : 0.53, southeast : 0.47, asia : 0.45, including : 0.47, indonesia : 0.42, manual : 0.63, types : 0.36, ripeness : 0.55, levels : 0.51, remains : 0.48, challenge : 0.44, due : 0.47, to : 0, high : 0, subjectivity : 0.28, time : 0.56, intensive : 0.42, nature : 0.34, process : 0.41, particularly : 0.45, large : 0.43, scale : 0.36, agricultural : 0.39, operations : 0.52, network : 0.46, cnn : 0.47, deep : 0.56, learning : 0.54, approach : 0.41, offers : 0.42, significant : 0.52, potential : 0.54, automating : 0.52, improving : 0.47, accuracy : 0.31, tasks : 0, by : 0.53, extracting : 0.52, complex : 0.49, visual : 0.42, features : 0.44, such : 0, as : 0, color : 0, texture : 0.49, this : 0, study : 0.43, employs : 0.46, slr : 0, evaluate : 0.54, relevant : 0.5, research : 0.55, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.5, identify : 0.55, trends : 0.51, utilizing : 0.4, purpose : 0.41, results : 0.41, demonstrate : 0.49, that : 0.45, achieves : 0.48, superior : 0.41, 90 : 0, compared : 0.44, traditional : 0.4, methods : 0.59, like : 0.45, k : 0, nearest : 0.48, neighbor : 0.44, knn : 0.47, however : 0.49, limitations : 0.52, include : 0.49, restricted : 0.46, dataset : 0.32, diversity : 0.4, insufficient : 0.51, testing : 0.49, under : 0.36, real : 0.56, world : 0, conditions : 0.46, recommendations : 0.54, emphasize : 0.44, need : 0.56, larger : 0.42, more : 0.6, diverse : 0.49, datasets : 0.31, integration : 0.49, additional : 0.29, media : 0.7, spectral : 0.48, data : 0.45, video : 0.43, enhance : 0.56, model : 0.57, robustness : 0.36 |
| 206. kekhawatiran | 130 words | 0.73 | systematic : 0.45, literature : 0.41, review : 0.47, on : 0, the : 0.44, application : 0.52, of : 0, convolutional : 0.38, neural : 0.5, networks : 0.58, for : 0, rambutan : 0.53, fruit : 0.36, classification : 0.49, advances : 0.43, challenges : 0.45, and : 0.47, future : 0.42, directions : 0.58, nephelium : 0.53, lappaceum : 0.42, l : 0, is : 0, a : 0.69, tropical : 0.31, widely : 0.33, cultivated : 0.35, in : 0, southeast : 0.47, asia : 0.56, including : 0.46, indonesia : 0.42, manual : 0.5, types : 0.43, ripeness : 0.4, levels : 0.42, remains : 0.56, challenge : 0.47, due : 0.47, to : 0, high : 0.44, subjectivity : 0.5, time : 0.44, intensive : 0.42, nature : 0.5, process : 0.41, particularly : 0.51, large : 0.36, scale : 0.36, agricultural : 0.51, operations : 0.64, network : 0.61, cnn : 0, deep : 0.44, learning : 0.61, approach : 0.43, offers : 0.5, significant : 0.4, potential : 0.43, automating : 0.57, improving : 0.46, accuracy : 0.43, tasks : 0.36, by : 0, extracting : 0.57, complex : 0.41, visual : 0.42, features : 0.61, such : 0.44, as : 0.53, color : 0.43, texture : 0.56, this : 0.44, study : 0, employs : 0.41, slr : 0, evaluate : 0.61, relevant : 0.53, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0.44, analyzed : 0.43, identify : 0.54, trends : 0.42, utilizing : 0.46, purpose : 0.41, results : 0.48, demonstrate : 0.44, that : 0.67, achieves : 0.49, superior : 0.43, 90 : 0, compared : 0.38, traditional : 0.52, methods : 0.45, like : 0.56, k : 0.72, nearest : 0.56, neighbor : 0.54, knn : 0.52, however : 0.51, limitations : 0.48, include : 0.41, restricted : 0.49, dataset : 0.51, diversity : 0.51, insufficient : 0.33, testing : 0.56, under : 0.52, real : 0.56, world : 0.43, conditions : 0.41, recommendations : 0.45, emphasize : 0.59, need : 0.44, larger : 0.47, more : 0.44, diverse : 0.48, datasets : 0.49, integration : 0.54, additional : 0.54, media : 0.51, spectral : 0.49, data : 0.56, video : 0.43, enhance : 0.56, model : 0.43, robustness : 0.46 |
| 207. terkait | 130 words | 0.75 | systematic : 0.67, literature : 0.68, review : 0.53, on : 0, the : 0.69, application : 0.57, of : 0, convolutional : 0.31, neural : 0.64, networks : 0.61, for : 0.49, rambutan : 0.6, fruit : 0.68, classification : 0.55, advances : 0.42, challenges : 0.33, and : 0, future : 0.54, directions : 0.57, nephelium : 0.5, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.65, widely : 0.44, cultivated : 0.57, in : 0, southeast : 0.59, asia : 0.46, including : 0.42, indonesia : 0.42, manual : 0.44, types : 0.61, ripeness : 0.35, levels : 0.44, remains : 0.63, challenge : 0.42, due : 0.49, to : 0.59, high : 0, subjectivity : 0.45, time : 0.64, intensive : 0.59, nature : 0.54, process : 0.43, particularly : 0.55, large : 0.45, scale : 0.45, agricultural : 0.55, operations : 0.67, network : 0.36, cnn : 0, deep : 0.46, learning : 0.61, approach : 0.51, offers : 0.54, significant : 0.46, potential : 0.69, automating : 0.49, improving : 0.5, accuracy : 0.51, tasks : 0.61, by : 0, extracting : 0.71, complex : 0, visual : 0.44, features : 0.52, such : 0, as : 0, color : 0.45, texture : 0.62, this : 0.52, study : 0.45, employs : 0.43, slr : 0.49, evaluate : 0.6, relevant : 0.61, research : 0.49, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.49, trends : 0.58, utilizing : 0.5, purpose : 0.43, results : 0.51, demonstrate : 0.46, that : 0.64, achieves : 0.35, superior : 0.6, 90 : 0, compared : 0.35, traditional : 0.75, methods : 0.36, like : 0.43, k : 0, nearest : 0.63, neighbor : 0.51, knn : 0, however : 0.43, limitations : 0.52, include : 0, restricted : 0.67, dataset : 0.62, diversity : 0.67, insufficient : 0.48, testing : 0.7, under : 0.56, real : 0.62, world : 0.45, conditions : 0.5, recommendations : 0.55, emphasize : 0.59, need : 0.46, larger : 0.44, more : 0.43, diverse : 0.52, datasets : 0.49, integration : 0.75, additional : 0.41, media : 0.57, spectral : 0.57, data : 0.6, video : 0.45, enhance : 0.52, model : 0.45, robustness : 0.5 |
| 208. keaslian | 130 words | 0.83 | systematic : 0.51, literature : 0.47, review : 0.53, on : 0, the : 0.49, application : 0.69, of : 0, convolutional : 0.44, neural : 0.63, networks : 0.42, for : 0, rambutan : 0.58, fruit : 0.44, classification : 0.64, advances : 0.58, challenges : 0.51, and : 0.49, future : 0, directions : 0.45, nephelium : 0.57, lappaceum : 0.49, l : 0, is : 0.54, a : 0.71, tropical : 0.42, widely : 0.53, cultivated : 0.39, in : 0, southeast : 0.49, asia : 0.83, including : 0.57, indonesia : 0.48, manual : 0.51, types : 0.55, ripeness : 0.47, levels : 0.51, remains : 0.68, challenge : 0.57, due : 0.49, to : 0, high : 0, subjectivity : 0.43, time : 0.46, intensive : 0.52, nature : 0.43, process : 0.51, particularly : 0.53, large : 0.38, scale : 0.64, agricultural : 0.53, operations : 0.63, network : 0.42, cnn : 0, deep : 0.46, learning : 0.58, approach : 0.5, offers : 0.53, significant : 0.54, potential : 0.52, automating : 0.55, improving : 0.49, accuracy : 0.5, tasks : 0.49, by : 0, extracting : 0.63, complex : 0.42, visual : 0.51, features : 0.5, such : 0.46, as : 0.75, color : 0.44, texture : 0.42, this : 0.42, study : 0.44, employs : 0.49, slr : 0.64, evaluate : 0.67, relevant : 0.58, research : 0.47, from : 0, 2019 : 0, 2024 : 0, was : 0.64, analyzed : 0.5, identify : 0.5, trends : 0.53, utilizing : 0.46, purpose : 0.42, results : 0.6, demonstrate : 0.5, that : 0.46, achieves : 0.42, superior : 0.47, 90 : 0, compared : 0.42, traditional : 0.54, methods : 0.51, like : 0.58, k : 0.74, nearest : 0.6, neighbor : 0.5, knn : 0.54, however : 0.42, limitations : 0.5, include : 0.42, restricted : 0.56, dataset : 0.49, diversity : 0.57, insufficient : 0.43, testing : 0.69, under : 0.44, real : 0.71, world : 0.44, conditions : 0.48, recommendations : 0.51, emphasize : 0.65, need : 0.46, larger : 0.36, more : 0.46, diverse : 0.51, datasets : 0.47, integration : 0.62, additional : 0.55, media : 0.55, spectral : 0.5, data : 0.58, video : 0.44, enhance : 0.6, model : 0.55, robustness : 0.48 |
| 209. mempelajari | 130 words | 0.7 | systematic : 0.59, literature : 0.52, review : 0.51, on : 0, the : 0.47, application : 0.58, of : 0, convolutional : 0.39, neural : 0.48, networks : 0.48, for : 0, rambutan : 0.48, fruit : 0, classification : 0.47, advances : 0.31, challenges : 0.42, and : 0, future : 0.42, directions : 0.46, nephelium : 0.67, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.44, widely : 0.51, cultivated : 0.36, in : 0, southeast : 0.47, asia : 0.45, including : 0.47, indonesia : 0.42, manual : 0.53, types : 0.36, ripeness : 0.44, levels : 0.59, remains : 0.46, challenge : 0.44, due : 0.47, to : 0, high : 0, subjectivity : 0.4, time : 0.56, intensive : 0.42, nature : 0.42, process : 0.32, particularly : 0.56, large : 0.43, scale : 0.51, agricultural : 0.4, operations : 0.5, network : 0.49, cnn : 0, deep : 0.56, learning : 0.48, approach : 0.48, offers : 0.42, significant : 0.29, potential : 0.54, automating : 0.52, improving : 0.54, accuracy : 0.41, tasks : 0, by : 0, extracting : 0.52, complex : 0.52, visual : 0.34, features : 0.5, such : 0, as : 0, color : 0.43, texture : 0.46, this : 0, study : 0, employs : 0.56, slr : 0.47, evaluate : 0.63, relevant : 0.54, research : 0.62, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.41, trends : 0.42, utilizing : 0.47, purpose : 0.49, results : 0.49, demonstrate : 0.41, that : 0.45, achieves : 0.48, superior : 0.44, 90 : 0, compared : 0.59, traditional : 0.4, methods : 0.59, like : 0.45, k : 0, nearest : 0.46, neighbor : 0.48, knn : 0, however : 0.57, limitations : 0.52, include : 0.32, restricted : 0.46, dataset : 0.32, diversity : 0.47, insufficient : 0.28, testing : 0.41, under : 0.43, real : 0.56, world : 0.43, conditions : 0.4, recommendations : 0.59, emphasize : 0.6, need : 0.56, larger : 0.51, more : 0.6, diverse : 0.49, datasets : 0.31, integration : 0.49, additional : 0.29, media : 0.7, spectral : 0.56, data : 0.45, video : 0.43, enhance : 0.46, model : 0.66, robustness : 0.4 |
| 210. sepenuhnya | 130 words | 0.72 | systematic : 0.58, literature : 0.42, review : 0.51, on : 0.53, the : 0.48, application : 0.41, of : 0, convolutional : 0.57, neural : 0.49, networks : 0.32, for : 0, rambutan : 0.39, fruit : 0.43, classification : 0.39, advances : 0.32, challenges : 0.47, and : 0.48, future : 0.34, directions : 0.47, nephelium : 0.59, lappaceum : 0.54, l : 0, is : 0.53, a : 0, tropical : 0.48, widely : 0.51, cultivated : 0.47, in : 0.53, southeast : 0.63, asia : 0.45, including : 0.54, indonesia : 0.53, manual : 0.51, types : 0.52, ripeness : 0.47, levels : 0.51, remains : 0.5, challenge : 0.47, due : 0.46, to : 0, high : 0.45, subjectivity : 0.55, time : 0.45, intensive : 0.43, nature : 0.43, process : 0.33, particularly : 0.49, large : 0.43, scale : 0.58, agricultural : 0.46, operations : 0.42, network : 0.33, cnn : 0.48, deep : 0.57, learning : 0.56, approach : 0.45, offers : 0.42, significant : 0.55, potential : 0.53, automating : 0.37, improving : 0.47, accuracy : 0.45, tasks : 0.43, by : 0, extracting : 0.47, complex : 0.33, visual : 0.51, features : 0.45, such : 0.71, as : 0.53, color : 0, texture : 0.47, this : 0.45, study : 0.67, employs : 0.58, slr : 0.53, evaluate : 0.51, relevant : 0.55, research : 0.55, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.39, identify : 0.56, trends : 0.51, utilizing : 0.4, purpose : 0.47, results : 0.47, demonstrate : 0.52, that : 0, achieves : 0.45, superior : 0.6, 90 : 0, compared : 0.48, traditional : 0.46, methods : 0.5, like : 0.45, k : 0, nearest : 0.47, neighbor : 0.45, knn : 0.48, however : 0.5, limitations : 0.29, include : 0.41, restricted : 0.3, dataset : 0.5, diversity : 0.47, insufficient : 0.49, testing : 0.47, under : 0.37, real : 0.45, world : 0, conditions : 0.47, recommendations : 0.54, emphasize : 0.54, need : 0.57, larger : 0.42, more : 0.45, diverse : 0.5, datasets : 0.48, integration : 0.42, additional : 0.47, media : 0.43, spectral : 0.6, data : 0, video : 0.43, enhance : 0.6, model : 0.43, robustness : 0.48 |
| 211. cara | 130 words | 0.75 | systematic : 0.45, literature : 0.4, review : 0.47, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0.5, neural : 0.61, networks : 0.46, for : 0.53, rambutan : 0.6, fruit : 0.48, classification : 0.69, advances : 0.58, challenges : 0.61, and : 0.53, future : 0.47, directions : 0.4, nephelium : 0, lappaceum : 0.57, l : 0, is : 0, a : 0.75, tropical : 0.58, widely : 0, cultivated : 0.61, in : 0, southeast : 0.45, asia : 0.67, including : 0.45, indonesia : 0, manual : 0.61, types : 0, ripeness : 0.46, levels : 0, remains : 0.43, challenge : 0.62, due : 0, to : 0, high : 0, subjectivity : 0.44, time : 0, intensive : 0, nature : 0.61, process : 0.46, particularly : 0.65, large : 0.63, scale : 0.63, agricultural : 0.5, operations : 0.4, network : 0, cnn : 0.58, deep : 0, learning : 0.58, approach : 0.71, offers : 0.47, significant : 0, potential : 0, automating : 0.57, improving : 0.45, accuracy : 0.75, tasks : 0.48, by : 0, extracting : 0.4, complex : 0.52, visual : 0.47, features : 0.58, such : 0, as : 0.58, color : 0.54, texture : 0, this : 0, study : 0, employs : 0, slr : 0.53, evaluate : 0.58, relevant : 0.58, research : 0.42, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.58, identify : 0, trends : 0.47, utilizing : 0, purpose : 0.46, results : 0.46, demonstrate : 0, that : 0.5, achieves : 0.42, superior : 0.46, 90 : 0, compared : 0.74, traditional : 0.39, methods : 0, like : 0, k : 0, nearest : 0.6, neighbor : 0, knn : 0, however : 0, limitations : 0.45, include : 0.46, restricted : 0.45, dataset : 0.6, diversity : 0.45, insufficient : 0, testing : 0, under : 0, real : 0.5, world : 0.48, conditions : 0.51, recommendations : 0.54, emphasize : 0.45, need : 0, larger : 0.61, more : 0.5, diverse : 0.46, datasets : 0.58, integration : 0.56, additional : 0.45, media : 0.48, spectral : 0.71, data : 0.67, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 212. memanfaatkan | 130 words | 0.7 | systematic : 0.45, literature : 0.52, review : 0.42, on : 0.53, the : 0.47, application : 0.57, of : 0.53, convolutional : 0.42, neural : 0.42, networks : 0.43, for : 0.47, rambutan : 0.55, fruit : 0.52, classification : 0.59, advances : 0.53, challenges : 0.41, and : 0.61, future : 0.33, directions : 0.41, nephelium : 0.3, lappaceum : 0.42, l : 0, is : 0, a : 0.69, tropical : 0.4, widely : 0.42, cultivated : 0.29, in : 0.53, southeast : 0.36, asia : 0.56, including : 0.46, indonesia : 0.36, manual : 0.7, types : 0.43, ripeness : 0.47, levels : 0.42, remains : 0.55, challenge : 0.42, due : 0.47, to : 0, high : 0, subjectivity : 0.44, time : 0.56, intensive : 0.3, nature : 0.47, process : 0.41, particularly : 0.39, large : 0.36, scale : 0.36, agricultural : 0.39, operations : 0.49, network : 0.45, cnn : 0.47, deep : 0.44, learning : 0.61, approach : 0.47, offers : 0.33, significant : 0.46, potential : 0.47, automating : 0.47, improving : 0.46, accuracy : 0.47, tasks : 0.43, by : 0, extracting : 0.49, complex : 0.48, visual : 0.42, features : 0.49, such : 0, as : 0.53, color : 0, texture : 0.48, this : 0, study : 0, employs : 0.32, slr : 0, evaluate : 0.61, relevant : 0.61, research : 0.47, from : 0.39, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.44, identify : 0.53, trends : 0.5, utilizing : 0.4, purpose : 0.41, results : 0.48, demonstrate : 0.46, that : 0.56, achieves : 0.31, superior : 0.4, 90 : 0, compared : 0.43, traditional : 0.44, methods : 0.59, like : 0.44, k : 0, nearest : 0.51, neighbor : 0.31, knn : 0.47, however : 0.41, limitations : 0.44, include : 0.32, restricted : 0.46, dataset : 0.55, diversity : 0.46, insufficient : 0.47, testing : 0.45, under : 0.36, real : 0.56, world : 0, conditions : 0.52, recommendations : 0.59, emphasize : 0.42, need : 0.39, larger : 0.33, more : 0.6, diverse : 0.41, datasets : 0.53, integration : 0.52, additional : 0.45, media : 0.69, spectral : 0.43, data : 0.56, video : 0.43, enhance : 0.45, model : 0.57, robustness : 0.29 |
| 213. berbasis | 130 words | 0.66 | systematic : 0.51, literature : 0.56, review : 0.51, on : 0, the : 0.49, application : 0.48, of : 0, convolutional : 0.4, neural : 0.63, networks : 0.58, for : 0.49, rambutan : 0.42, fruit : 0.55, classification : 0.51, advances : 0.5, challenges : 0.45, and : 0, future : 0.43, directions : 0.47, nephelium : 0.49, lappaceum : 0.41, l : 0, is : 0, a : 0, tropical : 0.47, widely : 0.43, cultivated : 0.32, in : 0, southeast : 0.49, asia : 0.46, including : 0.41, indonesia : 0.49, manual : 0.43, types : 0.55, ripeness : 0.58, levels : 0.53, remains : 0.65, challenge : 0.41, due : 0.49, to : 0, high : 0, subjectivity : 0.49, time : 0.46, intensive : 0.57, nature : 0.36, process : 0.61, particularly : 0.43, large : 0.55, scale : 0.38, agricultural : 0.43, operations : 0.64, network : 0.51, cnn : 0, deep : 0.46, learning : 0.58, approach : 0.5, offers : 0.63, significant : 0.31, potential : 0.46, automating : 0.48, improving : 0.49, accuracy : 0.5, tasks : 0.66, by : 0.59, extracting : 0.63, complex : 0, visual : 0.36, features : 0.58, such : 0, as : 0, color : 0.44, texture : 0.51, this : 0.46, study : 0, employs : 0.51, slr : 0.49, evaluate : 0.5, relevant : 0.47, research : 0.5, from : 0.46, 2019 : 0, 2024 : 0, was : 0.64, analyzed : 0.42, identify : 0.5, trends : 0.51, utilizing : 0.41, purpose : 0.51, results : 0.61, demonstrate : 0.44, that : 0.46, achieves : 0.42, superior : 0.58, 90 : 0, compared : 0.33, traditional : 0.55, methods : 0.51, like : 0.46, k : 0, nearest : 0.61, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.44, include : 0, restricted : 0.55, dataset : 0.51, diversity : 0.65, insufficient : 0.47, testing : 0.6, under : 0.55, real : 0.6, world : 0.44, conditions : 0.32, recommendations : 0.51, emphasize : 0.65, need : 0.46, larger : 0.51, more : 0.42, diverse : 0.6, datasets : 0.58, integration : 0.62, additional : 0.48, media : 0.55, spectral : 0.58, data : 0.46, video : 0.44, enhance : 0.51, model : 0.44, robustness : 0.55 |
| 214. mengembangkan | 130 words | 0.69 | systematic : 0.4, literature : 0.4, review : 0.5, on : 0.53, the : 0.47, application : 0.45, of : 0, convolutional : 0.38, neural : 0.47, networks : 0.42, for : 0, rambutan : 0.48, fruit : 0, classification : 0.37, advances : 0.42, challenges : 0.46, and : 0.47, future : 0.41, directions : 0.45, nephelium : 0.5, lappaceum : 0.35, l : 0, is : 0, a : 0, tropical : 0.4, widely : 0.41, cultivated : 0.28, in : 0.53, southeast : 0.46, asia : 0.44, including : 0.41, indonesia : 0.46, manual : 0.62, types : 0.43, ripeness : 0.54, levels : 0.5, remains : 0.46, challenge : 0.48, due : 0.47, to : 0, high : 0.44, subjectivity : 0.27, time : 0.55, intensive : 0.42, nature : 0.33, process : 0.41, particularly : 0.39, large : 0.35, scale : 0.35, agricultural : 0.44, operations : 0.51, network : 0.44, cnn : 0.47, deep : 0.55, learning : 0.54, approach : 0.4, offers : 0.41, significant : 0.47, potential : 0.52, automating : 0.57, improving : 0.52, accuracy : 0.4, tasks : 0, by : 0, extracting : 0.57, complex : 0.48, visual : 0.41, features : 0.42, such : 0, as : 0, color : 0, texture : 0.48, this : 0, study : 0, employs : 0.31, slr : 0, evaluate : 0.42, relevant : 0.48, research : 0.54, from : 0.44, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.37, identify : 0.47, trends : 0.5, utilizing : 0.46, purpose : 0.41, results : 0.41, demonstrate : 0.47, that : 0.44, achieves : 0.47, superior : 0.4, 90 : 0, compared : 0.42, traditional : 0.5, methods : 0.58, like : 0.44, k : 0, nearest : 0.46, neighbor : 0.52, knn : 0.47, however : 0.48, limitations : 0.5, include : 0.31, restricted : 0.45, dataset : 0.31, diversity : 0.4, insufficient : 0.49, testing : 0.55, under : 0.35, real : 0.55, world : 0, conditions : 0.45, recommendations : 0.57, emphasize : 0.42, need : 0.55, larger : 0.33, more : 0.6, diverse : 0.48, datasets : 0.3, integration : 0.55, additional : 0.45, media : 0.69, spectral : 0.47, data : 0.44, video : 0.43, enhance : 0.6, model : 0.57, robustness : 0.34 |
| 215. mereke | 130 words | 0.68 | systematic : 0.42, literature : 0.6, review : 0.56, on : 0, the : 0.5, application : 0, of : 0, convolutional : 0, neural : 0.56, networks : 0.63, for : 0.5, rambutan : 0.36, fruit : 0.46, classification : 0, advances : 0.43, challenges : 0.51, and : 0, future : 0.56, directions : 0.34, nephelium : 0.52, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.43, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.43, asia : 0, including : 0, indonesia : 0.43, manual : 0.5, types : 0.46, ripeness : 0.51, levels : 0.56, remains : 0.53, challenge : 0.52, due : 0.5, to : 0, high : 0, subjectivity : 0.42, time : 0.61, intensive : 0.52, nature : 0.56, process : 0.54, particularly : 0.42, large : 0.58, scale : 0.46, agricultural : 0.42, operations : 0.51, network : 0.54, cnn : 0, deep : 0.61, learning : 0.53, approach : 0.43, offers : 0.56, significant : 0, potential : 0.43, automating : 0.42, improving : 0.52, accuracy : 0.43, tasks : 0.46, by : 0, extracting : 0.51, complex : 0.54, visual : 0, features : 0.63, such : 0, as : 0, color : 0.46, texture : 0.54, this : 0, study : 0, employs : 0.37, slr : 0.5, evaluate : 0.53, relevant : 0.51, research : 0.51, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0.43, trends : 0.39, utilizing : 0, purpose : 0.54, results : 0.37, demonstrate : 0.34, that : 0, achieves : 0.53, superior : 0.53, 90 : 0, compared : 0.63, traditional : 0.42, methods : 0.63, like : 0.44, k : 0, nearest : 0.64, neighbor : 0.43, knn : 0, however : 0.54, limitations : 0.42, include : 0.44, restricted : 0.49, dataset : 0.44, diversity : 0.52, insufficient : 0.42, testing : 0.44, under : 0.58, real : 0.44, world : 0.46, conditions : 0, recommendations : 0.56, emphasize : 0.5, need : 0.61, larger : 0.56, more : 0.67, diverse : 0.64, datasets : 0.43, integration : 0.51, additional : 0, media : 0.66, spectral : 0.53, data : 0, video : 0.46, enhance : 0.54, model : 0.62, robustness : 0.51 |
| 216. koswara | 130 words | 0.74 | systematic : 0.5, literature : 0.33, review : 0.44, on : 0.55, the : 0, application : 0.49, of : 0.55, convolutional : 0.48, neural : 0.37, networks : 0.49, for : 0.49, rambutan : 0.51, fruit : 0, classification : 0.44, advances : 0.42, challenges : 0.41, and : 0, future : 0.44, directions : 0.41, nephelium : 0, lappaceum : 0.5, l : 0, is : 0.55, a : 0, tropical : 0.51, widely : 0, cultivated : 0.41, in : 0, southeast : 0.48, asia : 0.6, including : 0, indonesia : 0.5, manual : 0.44, types : 0.45, ripeness : 0, levels : 0, remains : 0.43, challenge : 0.42, due : 0, to : 0.55, high : 0, subjectivity : 0.41, time : 0, intensive : 0.42, nature : 0.44, process : 0.43, particularly : 0.56, large : 0, scale : 0.56, agricultural : 0.56, operations : 0.47, network : 0.52, cnn : 0, deep : 0, learning : 0.51, approach : 0.43, offers : 0.54, significant : 0.49, potential : 0.5, automating : 0.47, improving : 0.34, accuracy : 0.35, tasks : 0.45, by : 0, extracting : 0.33, complex : 0.43, visual : 0.54, features : 0.51, such : 0.46, as : 0.55, color : 0.56, texture : 0.43, this : 0.46, study : 0.45, employs : 0, slr : 0.49, evaluate : 0.51, relevant : 0.42, research : 0.6, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.42, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0.43, demonstrate : 0.56, that : 0.46, achieves : 0, superior : 0.51, 90 : 0, compared : 0.6, traditional : 0.46, methods : 0, like : 0.46, k : 0.74, nearest : 0.52, neighbor : 0.42, knn : 0.54, however : 0.62, limitations : 0.41, include : 0, restricted : 0.5, dataset : 0.36, diversity : 0.34, insufficient : 0.41, testing : 0.43, under : 0.45, real : 0.46, world : 0.45, conditions : 0.41, recommendations : 0.38, emphasize : 0.34, need : 0, larger : 0.44, more : 0.46, diverse : 0.43, datasets : 0.49, integration : 0.32, additional : 0.5, media : 0.45, spectral : 0.49, data : 0.46, video : 0, enhance : 0.43, model : 0.45, robustness : 0.5 |
| 217. keuangan | 130 words | 0.74 | systematic : 0.48, literature : 0.48, review : 0.43, on : 0.54, the : 0.49, application : 0.55, of : 0, convolutional : 0.44, neural : 0.63, networks : 0.42, for : 0, rambutan : 0.5, fruit : 0.44, classification : 0.53, advances : 0.47, challenges : 0.55, and : 0.64, future : 0.43, directions : 0.48, nephelium : 0.41, lappaceum : 0.49, l : 0, is : 0, a : 0.71, tropical : 0.42, widely : 0.43, cultivated : 0.48, in : 0.54, southeast : 0.49, asia : 0.58, including : 0.48, indonesia : 0.46, manual : 0.6, types : 0.44, ripeness : 0.5, levels : 0.43, remains : 0.6, challenge : 0.57, due : 0.47, to : 0, high : 0.46, subjectivity : 0.31, time : 0.46, intensive : 0.46, nature : 0.36, process : 0.42, particularly : 0.43, large : 0.49, scale : 0.38, agricultural : 0.49, operations : 0.56, network : 0.42, cnn : 0.49, deep : 0.46, learning : 0.68, approach : 0.5, offers : 0.43, significant : 0.54, potential : 0.57, automating : 0.54, improving : 0.49, accuracy : 0.47, tasks : 0.38, by : 0, extracting : 0.63, complex : 0, visual : 0.53, features : 0.47, such : 0.46, as : 0.54, color : 0, texture : 0.51, this : 0, study : 0.44, employs : 0.42, slr : 0, evaluate : 0.58, relevant : 0.58, research : 0.5, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.5, trends : 0.53, utilizing : 0.57, purpose : 0.42, results : 0.51, demonstrate : 0.55, that : 0.46, achieves : 0.33, superior : 0.33, 90 : 0, compared : 0.42, traditional : 0.55, methods : 0.42, like : 0.58, k : 0.74, nearest : 0.51, neighbor : 0.5, knn : 0.67, however : 0.42, limitations : 0.48, include : 0.35, restricted : 0.41, dataset : 0.51, diversity : 0.41, insufficient : 0.43, testing : 0.6, under : 0.49, real : 0.58, world : 0, conditions : 0.48, recommendations : 0.51, emphasize : 0.49, need : 0.46, larger : 0.46, more : 0.46, diverse : 0.42, datasets : 0.5, integration : 0.56, additional : 0.56, media : 0.55, spectral : 0.5, data : 0.58, video : 0.44, enhance : 0.61, model : 0.44, robustness : 0.48 |
| 218. besar | 130 words | 0.77 | systematic : 0.52, literature : 0.52, review : 0.46, on : 0, the : 0.51, application : 0.43, of : 0, convolutional : 0, neural : 0.59, networks : 0.55, for : 0, rambutan : 0.38, fruit : 0, classification : 0.35, advances : 0.44, challenges : 0.37, and : 0, future : 0.46, directions : 0.37, nephelium : 0.44, lappaceum : 0.44, l : 0, is : 0.57, a : 0, tropical : 0.38, widely : 0.46, cultivated : 0.43, in : 0, southeast : 0.54, asia : 0.63, including : 0, indonesia : 0, manual : 0.46, types : 0, ripeness : 0.44, levels : 0.46, remains : 0.56, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.45, time : 0, intensive : 0.54, nature : 0.58, process : 0, particularly : 0.52, large : 0, scale : 0.47, agricultural : 0.52, operations : 0.52, network : 0.56, cnn : 0, deep : 0.48, learning : 0.66, approach : 0.55, offers : 0.58, significant : 0.43, potential : 0.44, automating : 0.43, improving : 0.44, accuracy : 0.55, tasks : 0.47, by : 0.61, extracting : 0.52, complex : 0, visual : 0.58, features : 0.66, such : 0, as : 0.57, color : 0.47, texture : 0.56, this : 0.48, study : 0, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.55, research : 0.77, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.44, identify : 0.44, trends : 0.46, utilizing : 0, purpose : 0.45, results : 0.56, demonstrate : 0.62, that : 0.48, achieves : 0.38, superior : 0.55, 90 : 0, compared : 0.55, traditional : 0.36, methods : 0.45, like : 0, k : 0, nearest : 0.68, neighbor : 0.55, knn : 0, however : 0.56, limitations : 0.43, include : 0, restricted : 0.47, dataset : 0.4, diversity : 0.53, insufficient : 0.43, testing : 0.56, under : 0.47, real : 0.63, world : 0, conditions : 0, recommendations : 0.43, emphasize : 0.53, need : 0.48, larger : 0.58, more : 0, diverse : 0.56, datasets : 0.38, integration : 0.51, additional : 0.43, media : 0.6, spectral : 0.6, data : 0.48, video : 0, enhance : 0.56, model : 0, robustness : 0.47 |
| 219. kesenjangan | 130 words | 0.73 | systematic : 0.41, literature : 0.46, review : 0.51, on : 0.53, the : 0.47, application : 0.45, of : 0, convolutional : 0.39, neural : 0.48, networks : 0.31, for : 0, rambutan : 0.31, fruit : 0, classification : 0.38, advances : 0.44, challenges : 0.46, and : 0.47, future : 0.42, directions : 0.46, nephelium : 0.42, lappaceum : 0.3, l : 0, is : 0.53, a : 0, tropical : 0.41, widely : 0.42, cultivated : 0.4, in : 0.53, southeast : 0.42, asia : 0.56, including : 0.54, indonesia : 0.5, manual : 0.51, types : 0.53, ripeness : 0.54, levels : 0.48, remains : 0.56, challenge : 0.48, due : 0.47, to : 0, high : 0, subjectivity : 0.34, time : 0.45, intensive : 0.48, nature : 0.34, process : 0.49, particularly : 0.45, large : 0.43, scale : 0.46, agricultural : 0.39, operations : 0.41, network : 0.32, cnn : 0.47, deep : 0.56, learning : 0.63, approach : 0.41, offers : 0.51, significant : 0.58, potential : 0.54, automating : 0.41, improving : 0.47, accuracy : 0.41, tasks : 0.36, by : 0, extracting : 0.5, complex : 0.41, visual : 0.51, features : 0.44, such : 0.45, as : 0.53, color : 0, texture : 0.49, this : 0.45, study : 0.43, employs : 0.49, slr : 0.47, evaluate : 0.54, relevant : 0.54, research : 0.62, from : 0, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.38, identify : 0.48, trends : 0.48, utilizing : 0.47, purpose : 0.49, results : 0.49, demonstrate : 0.49, that : 0.45, achieves : 0.48, superior : 0.31, 90 : 0, compared : 0.31, traditional : 0.4, methods : 0.49, like : 0.56, k : 0.73, nearest : 0.56, neighbor : 0.31, knn : 0.65, however : 0.49, limitations : 0.45, include : 0.32, restricted : 0.46, dataset : 0.46, diversity : 0.47, insufficient : 0.4, testing : 0.65, under : 0.36, real : 0.56, world : 0, conditions : 0.46, recommendations : 0.6, emphasize : 0.42, need : 0.56, larger : 0.42, more : 0.45, diverse : 0.57, datasets : 0.44, integration : 0.47, additional : 0.46, media : 0.53, spectral : 0.44, data : 0.45, video : 0.43, enhance : 0.59, model : 0.43, robustness : 0.41 |
| 220. perlindungan | 130 words | 0.72 | systematic : 0.41, literature : 0.53, review : 0.47, on : 0.53, the : 0.47, application : 0.56, of : 0, convolutional : 0.54, neural : 0.58, networks : 0.38, for : 0.47, rambutan : 0.49, fruit : 0.51, classification : 0.46, advances : 0.43, challenges : 0.49, and : 0.61, future : 0.47, directions : 0.49, nephelium : 0.61, lappaceum : 0.47, l : 0.69, is : 0.53, a : 0, tropical : 0.51, widely : 0.5, cultivated : 0.49, in : 0.72, southeast : 0.42, asia : 0.44, including : 0.67, indonesia : 0.58, manual : 0.42, types : 0.52, ripeness : 0.55, levels : 0.33, remains : 0.55, challenge : 0.51, due : 0.47, to : 0, high : 0.44, subjectivity : 0.44, time : 0.39, intensive : 0.47, nature : 0.5, process : 0.5, particularly : 0.63, large : 0.51, scale : 0.36, agricultural : 0.51, operations : 0.64, network : 0.39, cnn : 0.47, deep : 0.39, learning : 0.7, approach : 0.54, offers : 0.5, significant : 0.48, potential : 0.67, automating : 0.41, improving : 0.56, accuracy : 0.43, tasks : 0, by : 0, extracting : 0.64, complex : 0.45, visual : 0.42, features : 0.43, such : 0, as : 0, color : 0.36, texture : 0.45, this : 0.44, study : 0.36, employs : 0.45, slr : 0.44, evaluate : 0.61, relevant : 0.55, research : 0.31, from : 0.44, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.53, identify : 0.44, trends : 0.58, utilizing : 0.51, purpose : 0.5, results : 0.47, demonstrate : 0.48, that : 0, achieves : 0.31, superior : 0.61, 90 : 0, compared : 0.53, traditional : 0.52, methods : 0.48, like : 0.5, k : 0, nearest : 0.39, neighbor : 0.49, knn : 0.47, however : 0.48, limitations : 0.48, include : 0.65, restricted : 0.49, dataset : 0.41, diversity : 0.36, insufficient : 0.56, testing : 0.63, under : 0.54, real : 0.56, world : 0.62, conditions : 0.45, recommendations : 0.52, emphasize : 0.42, need : 0.56, larger : 0.47, more : 0.39, diverse : 0.39, datasets : 0.4, integration : 0.57, additional : 0.45, media : 0.51, spectral : 0.61, data : 0, video : 0.45, enhance : 0.56, model : 0.45, robustness : 0.41 |
| 221. penyesuaian | 130 words | 0.69 | systematic : 0.55, literature : 0.41, review : 0.51, on : 0.53, the : 0.47, application : 0.49, of : 0, convolutional : 0.51, neural : 0.59, networks : 0.44, for : 0, rambutan : 0.55, fruit : 0.43, classification : 0.54, advances : 0.45, challenges : 0.59, and : 0.47, future : 0.34, directions : 0.46, nephelium : 0.63, lappaceum : 0.48, l : 0, is : 0.53, a : 0, tropical : 0.44, widely : 0.51, cultivated : 0.41, in : 0.53, southeast : 0.44, asia : 0.56, including : 0.6, indonesia : 0.54, manual : 0.59, types : 0.6, ripeness : 0.69, levels : 0.59, remains : 0.59, challenge : 0.54, due : 0.47, to : 0, high : 0, subjectivity : 0.44, time : 0.45, intensive : 0.5, nature : 0.42, process : 0.61, particularly : 0.5, large : 0.43, scale : 0.43, agricultural : 0.34, operations : 0.6, network : 0.32, cnn : 0.47, deep : 0.56, learning : 0.62, approach : 0.48, offers : 0.51, significant : 0.49, potential : 0.64, automating : 0.52, improving : 0.54, accuracy : 0.38, tasks : 0.43, by : 0.53, extracting : 0.59, complex : 0.49, visual : 0.59, features : 0.5, such : 0, as : 0.53, color : 0, texture : 0.46, this : 0.45, study : 0.36, employs : 0.56, slr : 0, evaluate : 0.5, relevant : 0.5, research : 0.54, from : 0, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.55, identify : 0.54, trends : 0.59, utilizing : 0.47, purpose : 0.51, results : 0.57, demonstrate : 0.58, that : 0, achieves : 0.55, superior : 0.55, 90 : 0, compared : 0.44, traditional : 0.35, methods : 0.49, like : 0.45, k : 0, nearest : 0.56, neighbor : 0.31, knn : 0.47, however : 0.49, limitations : 0.52, include : 0.46, restricted : 0.46, dataset : 0.46, diversity : 0.54, insufficient : 0.57, testing : 0.52, under : 0.36, real : 0.45, world : 0, conditions : 0.46, recommendations : 0.59, emphasize : 0.6, need : 0.56, larger : 0.42, more : 0.45, diverse : 0.46, datasets : 0.44, integration : 0.57, additional : 0.36, media : 0.53, spectral : 0.55, data : 0.45, video : 0.43, enhance : 0.56, model : 0.43, robustness : 0.42 |
| 222. infrastruktur | 130 words | 0.77 | systematic : 0.44, literature : 0.63, review : 0.33, on : 0.53, the : 0, application : 0.39, of : 0.53, convolutional : 0.38, neural : 0.58, networks : 0.54, for : 0.61, rambutan : 0.52, fruit : 0.58, classification : 0.45, advances : 0.42, challenges : 0.4, and : 0.44, future : 0.53, directions : 0.49, nephelium : 0.46, lappaceum : 0.46, l : 0, is : 0.75, a : 0.69, tropical : 0.42, widely : 0.41, cultivated : 0.44, in : 0.77, southeast : 0.46, asia : 0.49, including : 0.62, indonesia : 0.6, manual : 0.47, types : 0.43, ripeness : 0.48, levels : 0.41, remains : 0.57, challenge : 0.29, due : 0, to : 0, high : 0.44, subjectivity : 0.49, time : 0.44, intensive : 0.6, nature : 0.61, process : 0.48, particularly : 0.51, large : 0.35, scale : 0.35, agricultural : 0.59, operations : 0.49, network : 0.54, cnn : 0.47, deep : 0, learning : 0.44, approach : 0.3, offers : 0.58, significant : 0.53, potential : 0.46, automating : 0.51, improving : 0.51, accuracy : 0.37, tasks : 0.52, by : 0, extracting : 0.44, complex : 0, visual : 0.53, features : 0.6, such : 0.44, as : 0.72, color : 0.43, texture : 0.39, this : 0.55, study : 0.52, employs : 0.41, slr : 0.44, evaluate : 0.42, relevant : 0.48, research : 0.52, from : 0.55, 2019 : 0, 2024 : 0, was : 0.61, analyzed : 0.3, identify : 0.57, trends : 0.47, utilizing : 0.29, purpose : 0.48, results : 0.54, demonstrate : 0.56, that : 0.55, achieves : 0.42, superior : 0.52, 90 : 0, compared : 0.3, traditional : 0.43, methods : 0.31, like : 0.44, k : 0, nearest : 0.63, neighbor : 0.42, knn : 0.47, however : 0.41, limitations : 0.51, include : 0.64, restricted : 0.55, dataset : 0.54, diversity : 0.58, insufficient : 0.63, testing : 0.46, under : 0.52, real : 0.55, world : 0.43, conditions : 0.4, recommendations : 0.44, emphasize : 0.46, need : 0.44, larger : 0.47, more : 0.44, diverse : 0.55, datasets : 0.52, integration : 0.67, additional : 0.4, media : 0.52, spectral : 0.44, data : 0.55, video : 0.43, enhance : 0.48, model : 0, robustness : 0.53 |
| 223. dihadapi | 130 words | 0.74 | systematic : 0.48, literature : 0.48, review : 0.43, on : 0, the : 0.49, application : 0.56, of : 0, convolutional : 0.4, neural : 0.43, networks : 0, for : 0, rambutan : 0.5, fruit : 0.44, classification : 0.43, advances : 0.47, challenges : 0.48, and : 0.47, future : 0, directions : 0.65, nephelium : 0.49, lappaceum : 0.46, l : 0, is : 0.54, a : 0.71, tropical : 0.42, widely : 0.36, cultivated : 0.48, in : 0.54, southeast : 0.49, asia : 0.6, including : 0.57, indonesia : 0.48, manual : 0.53, types : 0, ripeness : 0.42, levels : 0, remains : 0.35, challenge : 0.49, due : 0.54, to : 0, high : 0.42, subjectivity : 0.4, time : 0.46, intensive : 0.49, nature : 0.43, process : 0, particularly : 0.43, large : 0.44, scale : 0.44, agricultural : 0.43, operations : 0.48, network : 0, cnn : 0, deep : 0.63, learning : 0.5, approach : 0.5, offers : 0, significant : 0.44, potential : 0.32, automating : 0.56, improving : 0.49, accuracy : 0.5, tasks : 0.44, by : 0, extracting : 0.48, complex : 0.42, visual : 0.53, features : 0.42, such : 0.46, as : 0.54, color : 0, texture : 0, this : 0.42, study : 0.44, employs : 0, slr : 0, evaluate : 0.5, relevant : 0.42, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.47, identify : 0.47, trends : 0.43, utilizing : 0.49, purpose : 0.42, results : 0, demonstrate : 0.53, that : 0.58, achieves : 0.47, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.53, methods : 0.51, like : 0.46, k : 0, nearest : 0.42, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.44, include : 0.51, restricted : 0.41, dataset : 0.64, diversity : 0.66, insufficient : 0.47, testing : 0.42, under : 0.44, real : 0.46, world : 0.44, conditions : 0.56, recommendations : 0.41, emphasize : 0.57, need : 0.46, larger : 0.43, more : 0, diverse : 0.61, datasets : 0.63, integration : 0.55, additional : 0.62, media : 0.66, spectral : 0.42, data : 0.74, video : 0.38, enhance : 0.51, model : 0.44, robustness : 0 |
| 224. kerjasama | 130 words | 0.73 | systematic : 0.45, literature : 0.54, review : 0.35, on : 0, the : 0.48, application : 0.47, of : 0, convolutional : 0.4, neural : 0.61, networks : 0.57, for : 0.48, rambutan : 0.57, fruit : 0.44, classification : 0.52, advances : 0.49, challenges : 0.43, and : 0, future : 0.43, directions : 0.43, nephelium : 0.48, lappaceum : 0.56, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0.43, cultivated : 0.4, in : 0, southeast : 0.48, asia : 0.45, including : 0, indonesia : 0.48, manual : 0.52, types : 0.54, ripeness : 0.46, levels : 0.52, remains : 0.59, challenge : 0.41, due : 0.48, to : 0, high : 0, subjectivity : 0.42, time : 0.45, intensive : 0.48, nature : 0.35, process : 0.48, particularly : 0.42, large : 0.53, scale : 0.37, agricultural : 0.42, operations : 0.61, network : 0.5, cnn : 0, deep : 0.45, learning : 0.46, approach : 0.49, offers : 0.61, significant : 0.4, potential : 0.48, automating : 0.43, improving : 0.41, accuracy : 0.49, tasks : 0.48, by : 0, extracting : 0.54, complex : 0, visual : 0.35, features : 0.56, such : 0, as : 0, color : 0.44, texture : 0.5, this : 0.45, study : 0, employs : 0.5, slr : 0.48, evaluate : 0.57, relevant : 0.46, research : 0.48, from : 0.45, 2019 : 0, 2024 : 0, was : 0.63, analyzed : 0.41, identify : 0.41, trends : 0.5, utilizing : 0, purpose : 0.5, results : 0.48, demonstrate : 0.42, that : 0.45, achieves : 0.49, superior : 0.49, 90 : 0, compared : 0.32, traditional : 0.54, methods : 0.5, like : 0.57, k : 0.73, nearest : 0.59, neighbor : 0.41, knn : 0.53, however : 0.42, limitations : 0.4, include : 0, restricted : 0.43, dataset : 0.48, diversity : 0.56, insufficient : 0.4, testing : 0.5, under : 0.54, real : 0.58, world : 0.44, conditions : 0.4, recommendations : 0.4, emphasize : 0.56, need : 0.45, larger : 0.5, more : 0.41, diverse : 0.59, datasets : 0.46, integration : 0.54, additional : 0.47, media : 0.54, spectral : 0.57, data : 0.57, video : 0.44, enhance : 0.5, model : 0.44, robustness : 0.47 |
| 225. kebijakan | 130 words | 0.73 | systematic : 0.47, literature : 0.43, review : 0.52, on : 0, the : 0.48, application : 0.54, of : 0, convolutional : 0.41, neural : 0.52, networks : 0.49, for : 0, rambutan : 0.57, fruit : 0.44, classification : 0.49, advances : 0.41, challenges : 0.43, and : 0, future : 0, directions : 0.43, nephelium : 0.48, lappaceum : 0.41, l : 0, is : 0.54, a : 0, tropical : 0.49, widely : 0.35, cultivated : 0.47, in : 0.54, southeast : 0.41, asia : 0.57, including : 0.48, indonesia : 0.48, manual : 0.43, types : 0.44, ripeness : 0.32, levels : 0.43, remains : 0.59, challenge : 0.48, due : 0.48, to : 0, high : 0.45, subjectivity : 0.43, time : 0.41, intensive : 0.31, nature : 0, process : 0.42, particularly : 0.42, large : 0.44, scale : 0.37, agricultural : 0.42, operations : 0.53, network : 0.5, cnn : 0, deep : 0.45, learning : 0.56, approach : 0.41, offers : 0.43, significant : 0.54, potential : 0.56, automating : 0.43, improving : 0.48, accuracy : 0.41, tasks : 0.44, by : 0.54, extracting : 0.53, complex : 0, visual : 0.52, features : 0.49, such : 0, as : 0, color : 0, texture : 0.42, this : 0.45, study : 0, employs : 0.42, slr : 0, evaluate : 0.57, relevant : 0.57, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.32, trends : 0.43, utilizing : 0.48, purpose : 0, results : 0.42, demonstrate : 0.42, that : 0.45, achieves : 0.32, superior : 0.49, 90 : 0, compared : 0.41, traditional : 0.44, methods : 0.42, like : 0.53, k : 0.73, nearest : 0.5, neighbor : 0.46, knn : 0.53, however : 0.42, limitations : 0.54, include : 0.42, restricted : 0.47, dataset : 0.42, diversity : 0.31, insufficient : 0.46, testing : 0.59, under : 0.44, real : 0.57, world : 0, conditions : 0.47, recommendations : 0.4, emphasize : 0.44, need : 0.45, larger : 0.43, more : 0.45, diverse : 0.34, datasets : 0.41, integration : 0.52, additional : 0.43, media : 0.64, spectral : 0.49, data : 0.45, video : 0.37, enhance : 0.5, model : 0.44, robustness : 0.47 |
| 226. institusi | 130 words | 0.79 | systematic : 0.53, literature : 0.61, review : 0.43, on : 0.54, the : 0.48, application : 0.54, of : 0, convolutional : 0.46, neural : 0.43, networks : 0.57, for : 0, rambutan : 0.32, fruit : 0.54, classification : 0.62, advances : 0.49, challenges : 0.4, and : 0.48, future : 0.52, directions : 0.61, nephelium : 0.56, lappaceum : 0.41, l : 0, is : 0.77, a : 0, tropical : 0.49, widely : 0.43, cultivated : 0.43, in : 0.79, southeast : 0.55, asia : 0.41, including : 0.64, indonesia : 0.64, manual : 0.52, types : 0.37, ripeness : 0.57, levels : 0.43, remains : 0.5, challenge : 0, due : 0, to : 0.54, high : 0.45, subjectivity : 0.58, time : 0.41, intensive : 0.71, nature : 0.61, process : 0.5, particularly : 0.42, large : 0, scale : 0.44, agricultural : 0.42, operations : 0.54, network : 0.5, cnn : 0.48, deep : 0, learning : 0.49, approach : 0, offers : 0.43, significant : 0.57, potential : 0.46, automating : 0.43, improving : 0.53, accuracy : 0.41, tasks : 0.53, by : 0, extracting : 0.43, complex : 0, visual : 0.61, features : 0.57, such : 0.45, as : 0.54, color : 0, texture : 0.59, this : 0.53, study : 0.54, employs : 0.42, slr : 0.48, evaluate : 0.32, relevant : 0.41, research : 0.41, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.41, identify : 0.68, trends : 0.44, utilizing : 0.55, purpose : 0.42, results : 0.59, demonstrate : 0.6, that : 0.57, achieves : 0.49, superior : 0.49, 90 : 0, compared : 0, traditional : 0.44, methods : 0.5, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.32, knn : 0.48, however : 0, limitations : 0.63, include : 0.67, restricted : 0.61, dataset : 0.48, diversity : 0.63, insufficient : 0.77, testing : 0.51, under : 0.44, real : 0, world : 0, conditions : 0.62, recommendations : 0.51, emphasize : 0.48, need : 0.45, larger : 0, more : 0, diverse : 0.5, datasets : 0.56, integration : 0.68, additional : 0.54, media : 0.44, spectral : 0.49, data : 0.45, video : 0.44, enhance : 0.42, model : 0, robustness : 0.49 |
| 227. pendidikan | 130 words | 0.73 | systematic : 0.42, literature : 0.42, review : 0.51, on : 0.53, the : 0.48, application : 0.58, of : 0, convolutional : 0.49, neural : 0.49, networks : 0.45, for : 0, rambutan : 0.48, fruit : 0.43, classification : 0.48, advances : 0.32, challenges : 0.47, and : 0.62, future : 0.42, directions : 0.57, nephelium : 0.53, lappaceum : 0.47, l : 0, is : 0.53, a : 0, tropical : 0.56, widely : 0.49, cultivated : 0.42, in : 0.57, southeast : 0.47, asia : 0.45, including : 0.59, indonesia : 0.7, manual : 0.51, types : 0.53, ripeness : 0.47, levels : 0.42, remains : 0.47, challenge : 0.47, due : 0.46, to : 0, high : 0.45, subjectivity : 0.52, time : 0.4, intensive : 0.53, nature : 0.34, process : 0.55, particularly : 0.57, large : 0.43, scale : 0.43, agricultural : 0.46, operations : 0.6, network : 0.47, cnn : 0.48, deep : 0.57, learning : 0.63, approach : 0.48, offers : 0.42, significant : 0.58, potential : 0.72, automating : 0.42, improving : 0.53, accuracy : 0.41, tasks : 0.43, by : 0, extracting : 0.52, complex : 0.5, visual : 0.51, features : 0.41, such : 0, as : 0, color : 0, texture : 0.41, this : 0.45, study : 0.43, employs : 0.33, slr : 0, evaluate : 0.48, relevant : 0.45, research : 0.48, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.48, identify : 0.58, trends : 0.6, utilizing : 0.54, purpose : 0.47, results : 0.41, demonstrate : 0.46, that : 0, achieves : 0.32, superior : 0.56, 90 : 0, compared : 0.45, traditional : 0.58, methods : 0.5, like : 0.4, k : 0, nearest : 0.33, neighbor : 0.45, knn : 0.48, however : 0.41, limitations : 0.59, include : 0.41, restricted : 0.53, dataset : 0.33, diversity : 0.49, insufficient : 0.49, testing : 0.47, under : 0.47, real : 0.45, world : 0.43, conditions : 0.67, recommendations : 0.61, emphasize : 0.45, need : 0.57, larger : 0.42, more : 0.45, diverse : 0.41, datasets : 0.32, integration : 0.6, additional : 0.62, media : 0.73, spectral : 0.56, data : 0.45, video : 0.52, enhance : 0.5, model : 0.37, robustness : 0.4 |
| 228. kunci | 130 words | 0.76 | systematic : 0.43, literature : 0.43, review : 0.46, on : 0.57, the : 0, application : 0.36, of : 0, convolutional : 0.62, neural : 0.41, networks : 0.44, for : 0, rambutan : 0.44, fruit : 0.6, classification : 0.51, advances : 0.55, challenges : 0.37, and : 0.51, future : 0.46, directions : 0.37, nephelium : 0.54, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.38, widely : 0, cultivated : 0.52, in : 0.57, southeast : 0.44, asia : 0, including : 0.62, indonesia : 0.54, manual : 0.41, types : 0, ripeness : 0.38, levels : 0, remains : 0.45, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.62, time : 0, intensive : 0.54, nature : 0.41, process : 0.45, particularly : 0.51, large : 0, scale : 0, agricultural : 0.51, operations : 0.43, network : 0.45, cnn : 0.51, deep : 0, learning : 0.55, approach : 0.44, offers : 0, significant : 0.46, potential : 0.54, automating : 0.53, improving : 0.44, accuracy : 0.38, tasks : 0, by : 0, extracting : 0.53, complex : 0, visual : 0.46, features : 0.44, such : 0.63, as : 0, color : 0, texture : 0, this : 0, study : 0.47, employs : 0, slr : 0, evaluate : 0.44, relevant : 0, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.55, trends : 0.46, utilizing : 0.54, purpose : 0.45, results : 0.45, demonstrate : 0.43, that : 0, achieves : 0.55, superior : 0.55, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0, like : 0, k : 0.76, nearest : 0.45, neighbor : 0.55, knn : 0.72, however : 0, limitations : 0.43, include : 0.56, restricted : 0.37, dataset : 0, diversity : 0.44, insufficient : 0.59, testing : 0.45, under : 0.6, real : 0, world : 0, conditions : 0.52, recommendations : 0.34, emphasize : 0.44, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0.36, additional : 0.43, media : 0.47, spectral : 0.44, data : 0, video : 0, enhance : 0.56, model : 0, robustness : 0.53 |
| 229. sukses | 130 words | 0.73 | systematic : 0.64, literature : 0.42, review : 0.44, on : 0, the : 0.5, application : 0, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.53, for : 0, rambutan : 0.43, fruit : 0.46, classification : 0.49, advances : 0.53, challenges : 0.51, and : 0, future : 0.56, directions : 0.51, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0, widely : 0.44, cultivated : 0.51, in : 0, southeast : 0.73, asia : 0.47, including : 0.43, indonesia : 0.35, manual : 0.44, types : 0.41, ripeness : 0.51, levels : 0.39, remains : 0.44, challenge : 0.43, due : 0.67, to : 0, high : 0, subjectivity : 0.67, time : 0.47, intensive : 0.35, nature : 0.56, process : 0.53, particularly : 0.42, large : 0.46, scale : 0.62, agricultural : 0.42, operations : 0.51, network : 0, cnn : 0, deep : 0.47, learning : 0.43, approach : 0, offers : 0.39, significant : 0.48, potential : 0.43, automating : 0.42, improving : 0, accuracy : 0.43, tasks : 0.7, by : 0, extracting : 0.42, complex : 0.44, visual : 0.56, features : 0.51, such : 0.69, as : 0.56, color : 0, texture : 0.44, this : 0.47, study : 0.62, employs : 0.44, slr : 0.55, evaluate : 0.53, relevant : 0.43, research : 0.36, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.43, trends : 0.39, utilizing : 0.43, purpose : 0.64, results : 0.64, demonstrate : 0.34, that : 0, achieves : 0.53, superior : 0.7, 90 : 0, compared : 0.43, traditional : 0, methods : 0.44, like : 0.61, k : 0.72, nearest : 0.37, neighbor : 0.43, knn : 0.5, however : 0.44, limitations : 0, include : 0.44, restricted : 0.34, dataset : 0.54, diversity : 0.35, insufficient : 0.58, testing : 0.44, under : 0.58, real : 0, world : 0, conditions : 0.42, recommendations : 0.41, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0.47, diverse : 0.37, datasets : 0.63, integration : 0.42, additional : 0, media : 0, spectral : 0.58, data : 0, video : 0.46, enhance : 0.44, model : 0.46, robustness : 0.61 |
| 230. baik | 130 words | 0.75 | systematic : 0, literature : 0.4, review : 0.47, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0, neural : 0, networks : 0.46, for : 0, rambutan : 0.42, fruit : 0.48, classification : 0.55, advances : 0.46, challenges : 0.45, and : 0.53, future : 0, directions : 0.45, nephelium : 0, lappaceum : 0.45, l : 0, is : 0, a : 0.75, tropical : 0.46, widely : 0.47, cultivated : 0.45, in : 0, southeast : 0, asia : 0.67, including : 0.45, indonesia : 0.45, manual : 0.47, types : 0, ripeness : 0.46, levels : 0, remains : 0.6, challenge : 0.45, due : 0, to : 0, high : 0.5, subjectivity : 0.56, time : 0.5, intensive : 0.45, nature : 0.47, process : 0, particularly : 0.56, large : 0.48, scale : 0.48, agricultural : 0.56, operations : 0.57, network : 0, cnn : 0, deep : 0, learning : 0.58, approach : 0.46, offers : 0, significant : 0.45, potential : 0, automating : 0.45, improving : 0.45, accuracy : 0.46, tasks : 0.63, by : 0.63, extracting : 0.45, complex : 0, visual : 0.47, features : 0.46, such : 0, as : 0.58, color : 0, texture : 0, this : 0.5, study : 0, employs : 0, slr : 0, evaluate : 0.46, relevant : 0, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.46, identify : 0.46, trends : 0, utilizing : 0.45, purpose : 0, results : 0, demonstrate : 0, that : 0.5, achieves : 0.58, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.56, methods : 0, like : 0.67, k : 0, nearest : 0.46, neighbor : 0.46, knn : 0, however : 0, limitations : 0.39, include : 0.46, restricted : 0.45, dataset : 0.46, diversity : 0.45, insufficient : 0.44, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0.45, recommendations : 0, emphasize : 0.45, need : 0, larger : 0.47, more : 0, diverse : 0.46, datasets : 0.46, integration : 0.45, additional : 0.57, media : 0.48, spectral : 0, data : 0.5, video : 0.48, enhance : 0.46, model : 0, robustness : 0.45 |
| 231. husaini | 130 words | 0.65 | systematic : 0.58, literature : 0.33, review : 0.44, on : 0, the : 0.49, application : 0.57, of : 0, convolutional : 0.39, neural : 0.54, networks : 0, for : 0, rambutan : 0.49, fruit : 0.56, classification : 0.54, advances : 0.51, challenges : 0.58, and : 0, future : 0.44, directions : 0.47, nephelium : 0.5, lappaceum : 0.42, l : 0, is : 0.55, a : 0, tropical : 0.35, widely : 0, cultivated : 0.47, in : 0, southeast : 0.48, asia : 0.62, including : 0.59, indonesia : 0.34, manual : 0.37, types : 0.45, ripeness : 0.51, levels : 0, remains : 0.62, challenge : 0.59, due : 0.49, to : 0, high : 0.52, subjectivity : 0.55, time : 0, intensive : 0.42, nature : 0.37, process : 0, particularly : 0.39, large : 0.45, scale : 0.56, agricultural : 0.39, operations : 0.58, network : 0, cnn : 0, deep : 0, learning : 0.49, approach : 0.42, offers : 0, significant : 0.65, potential : 0.34, automating : 0.57, improving : 0.5, accuracy : 0.35, tasks : 0.4, by : 0, extracting : 0.58, complex : 0, visual : 0.53, features : 0.35, such : 0.43, as : 0.55, color : 0, texture : 0, this : 0.62, study : 0.4, employs : 0, slr : 0.49, evaluate : 0.35, relevant : 0.51, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.42, identify : 0.35, trends : 0.44, utilizing : 0.59, purpose : 0.43, results : 0.36, demonstrate : 0.32, that : 0.6, achieves : 0.49, superior : 0.49, 90 : 0, compared : 0.42, traditional : 0.56, methods : 0, like : 0, k : 0, nearest : 0.43, neighbor : 0.42, knn : 0, however : 0.49, limitations : 0.52, include : 0, restricted : 0.5, dataset : 0.36, diversity : 0.48, insufficient : 0.58, testing : 0.62, under : 0.45, real : 0.46, world : 0, conditions : 0.47, recommendations : 0.43, emphasize : 0.59, need : 0, larger : 0.44, more : 0, diverse : 0, datasets : 0.35, integration : 0.52, additional : 0.57, media : 0.4, spectral : 0.51, data : 0.46, video : 0, enhance : 0.62, model : 0, robustness : 0.58 |
| 232. 2023 | 130 words | 0.88 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0.73, 2024 : 0.88, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.58, compared : 0, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0, conditions : 0, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 233. itu | 130 words | 0.69 | systematic : 0.48, literature : 0.62, review : 0, on : 0, the : 0, application : 0.47, of : 0, convolutional : 0.47, neural : 0.5, networks : 0.49, for : 0, rambutan : 0.49, fruit : 0.51, classification : 0.47, advances : 0, challenges : 0, and : 0, future : 0.5, directions : 0.62, nephelium : 0, lappaceum : 0, l : 0, is : 0.65, a : 0, tropical : 0.49, widely : 0.5, cultivated : 0.66, in : 0.65, southeast : 0.46, asia : 0, including : 0.67, indonesia : 0.53, manual : 0.5, types : 0.51, ripeness : 0.49, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0.53, subjectivity : 0.44, time : 0.56, intensive : 0.67, nature : 0.67, process : 0, particularly : 0.64, large : 0, scale : 0, agricultural : 0.61, operations : 0.48, network : 0.49, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0.47, potential : 0.48, automating : 0.46, improving : 0.53, accuracy : 0.49, tasks : 0.51, by : 0, extracting : 0.48, complex : 0, visual : 0.67, features : 0.64, such : 0.53, as : 0, color : 0, texture : 0.65, this : 0.53, study : 0.69, employs : 0, slr : 0, evaluate : 0.49, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.67, trends : 0.5, utilizing : 0.67, purpose : 0.49, results : 0.49, demonstrate : 0, that : 0.53, achieves : 0.49, superior : 0.49, 90 : 0, compared : 0, traditional : 0.45, methods : 0.49, like : 0.53, k : 0, nearest : 0, neighbor : 0.49, knn : 0, however : 0, limitations : 0.62, include : 0.69, restricted : 0.48, dataset : 0.49, diversity : 0.48, insufficient : 0.65, testing : 0.49, under : 0, real : 0, world : 0, conditions : 0.62, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0.49, datasets : 0.49, integration : 0.65, additional : 0.62, media : 0, spectral : 0.49, data : 0.53, video : 0.51, enhance : 0, model : 0, robustness : 0.46 |
Average Result
74.25%
0.74245636377611