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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
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aaa php defined basepath or exit no direct script access allowed doctype html html lang en head meta charset utf 8 meta http equiv x ua compatible content ie edge meta name viewport content width device width initial scale 1 shrink to fit no title home identitas judul title meta name description content home meta name author content firman santosa link rel shortcut icon href identitas logo link href https fonts googleapis com css family roboto 400 300 100 500 700 900 rel stylesheet type text css link href base url global css icons icomoon styles min css rel stylesheet type text css link href base url assets css bootstrap min css rel stylesheet type text css link href base url assets css bootstrap limitless min css rel stylesheet type text css link href base url assets css layout min css rel stylesheet type text css link href base url assets css components min css rel stylesheet type text css link href base url assets css colors min css rel stylesheet type text css head body class layout boxed bg php this load view inc nav home php echo this session flashdata pesen unset session form method post action base url home class card similarity checker title input type text name title class form control placeholder title required abstract textarea name abstract class form control placeholder abstract style min height 300px required textarea button type reset class btn btn default reset button button type submit name cekin value 1 class btn btn dark float right submit button form php this load view inc footer body html 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. aaa | 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, 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 : 0.56, 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 |
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| 3. defined | 130 words | 0.69 | systematic : 0.41, literature : 0.47, review : 0.64, on : 0, the : 0.49, application : 0.41, of : 0.55, convolutional : 0.31, neural : 0.44, networks : 0.42, for : 0.49, rambutan : 0.42, fruit : 0.56, classification : 0.31, advances : 0.6, challenges : 0.58, and : 0.49, future : 0.54, directions : 0.62, nephelium : 0.48, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0.48, cultivated : 0.58, in : 0, southeast : 0.42, asia : 0.46, including : 0.59, indonesia : 0.55, manual : 0.44, types : 0.45, ripeness : 0.61, levels : 0.54, remains : 0.62, challenge : 0.34, due : 0.69, to : 0, high : 0.46, subjectivity : 0.48, time : 0.43, intensive : 0.55, nature : 0.44, process : 0.43, particularly : 0.41, large : 0.45, scale : 0.45, agricultural : 0.41, operations : 0.58, network : 0.43, cnn : 0.49, deep : 0.68, learning : 0.49, approach : 0, offers : 0.37, significant : 0.4, potential : 0.48, automating : 0.5, improving : 0.5, accuracy : 0, tasks : 0, by : 0, extracting : 0.58, complex : 0.43, visual : 0.44, features : 0.49, such : 0, as : 0, color : 0, texture : 0.52, this : 0.46, study : 0, employs : 0.43, slr : 0, evaluate : 0.51, relevant : 0.49, research : 0.51, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.6, identify : 0.57, trends : 0.64, utilizing : 0.5, purpose : 0.43, results : 0.43, demonstrate : 0.65, that : 0, achieves : 0.49, superior : 0.51, 90 : 0, compared : 0.51, traditional : 0.57, methods : 0.52, like : 0.43, k : 0, nearest : 0.52, neighbor : 0.51, knn : 0.49, however : 0.52, limitations : 0.41, include : 0.36, restricted : 0.66, dataset : 0.57, diversity : 0.53, insufficient : 0.51, testing : 0.62, under : 0.56, real : 0.46, world : 0.45, conditions : 0.41, recommendations : 0.53, emphasize : 0.59, need : 0.46, larger : 0.44, more : 0.46, diverse : 0.67, datasets : 0.56, integration : 0.4, additional : 0.53, media : 0.57, spectral : 0.42, data : 0.52, video : 0.51, enhance : 0.62, model : 0.56, robustness : 0.5 |
| 4. basepath | 130 words | 0.75 | systematic : 0.51, literature : 0.45, review : 0.43, on : 0, the : 0.49, application : 0.62, of : 0, convolutional : 0.4, neural : 0.36, networks : 0.42, for : 0, rambutan : 0.5, fruit : 0.44, classification : 0.6, advances : 0.47, challenges : 0.48, and : 0.49, future : 0.43, directions : 0.48, nephelium : 0.49, lappaceum : 0.52, l : 0, is : 0.54, a : 0.71, tropical : 0.5, widely : 0.43, cultivated : 0.32, in : 0, southeast : 0.59, asia : 0.71, including : 0, indonesia : 0.49, manual : 0.53, types : 0.55, ripeness : 0.33, levels : 0.36, remains : 0.35, challenge : 0.49, due : 0.49, to : 0, high : 0, subjectivity : 0.53, time : 0.46, intensive : 0.32, nature : 0.53, process : 0.35, particularly : 0.44, large : 0.55, scale : 0.55, agricultural : 0.43, operations : 0.55, network : 0.42, cnn : 0, deep : 0.58, learning : 0.33, approach : 0.67, offers : 0.36, significant : 0.55, potential : 0.46, automating : 0.45, improving : 0.41, accuracy : 0.5, tasks : 0.55, by : 0.59, extracting : 0.39, complex : 0.35, visual : 0.36, features : 0.47, such : 0.46, as : 0.75, color : 0, texture : 0.51, this : 0.46, 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 : 0.64, analyzed : 0.47, identify : 0.5, trends : 0.36, utilizing : 0, purpose : 0.43, results : 0.49, demonstrate : 0.45, that : 0.58, achieves : 0.5, superior : 0.47, 90 : 0, compared : 0.42, traditional : 0.44, methods : 0.42, like : 0.46, k : 0, nearest : 0.57, neighbor : 0.5, knn : 0, however : 0.42, limitations : 0.31, include : 0.42, restricted : 0.45, dataset : 0.68, diversity : 0.46, insufficient : 0.47, testing : 0.49, under : 0.44, real : 0.42, world : 0, conditions : 0.41, recommendations : 0.53, emphasize : 0.48, need : 0.46, larger : 0.53, more : 0.46, diverse : 0.35, datasets : 0.65, integration : 0.38, additional : 0.45, media : 0.38, spectral : 0.62, data : 0.58, video : 0.44, enhance : 0.35, model : 0.44, robustness : 0.55 |
| 5. or | 130 words | 0.83 | systematic : 0, literature : 0.53, review : 0.56, on : 0.7, the : 0, application : 0, of : 0.7, convolutional : 0.53, neural : 0.56, networks : 0, for : 0, rambutan : 0.54, fruit : 0.57, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0.53, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.58, widely : 0, cultivated : 0, in : 0, southeast : 0.54, asia : 0, including : 0, indonesia : 0.54, manual : 0, types : 0, ripeness : 0.54, levels : 0, remains : 0.55, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0.6, particularly : 0.53, large : 0.57, scale : 0, agricultural : 0.53, operations : 0.76, network : 0, cnn : 0, deep : 0, learning : 0.54, approach : 0.54, offers : 0.6, significant : 0, potential : 0.54, automating : 0.53, improving : 0.54, accuracy : 0.54, tasks : 0, by : 0, extracting : 0.53, complex : 0.55, visual : 0, features : 0, such : 0, as : 0, color : 0.57, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0.54, research : 0.54, from : 0.58, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0, trends : 0.56, utilizing : 0, purpose : 0.55, results : 0.55, demonstrate : 0.53, that : 0, achieves : 0, superior : 0.54, 90 : 0, compared : 0.54, traditional : 0.53, methods : 0, like : 0, k : 0, nearest : 0.55, neighbor : 0, knn : 0, however : 0.55, limitations : 0, include : 0, restricted : 0.53, dataset : 0, diversity : 0.54, insufficient : 0, testing : 0, under : 0, real : 0.58, world : 0.8, conditions : 0.53, recommendations : 0.54, emphasize : 0, need : 0, larger : 0.56, more : 0.83, diverse : 0, datasets : 0, integration : 0.53, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0.57, robustness : 0.57 |
| 6. exit | 130 words | 0.75 | systematic : 0.4, literature : 0.52, review : 0.61, on : 0, the : 0, application : 0.56, of : 0, convolutional : 0.44, neural : 0.47, networks : 0.58, for : 0, rambutan : 0.46, fruit : 0.63, classification : 0.44, advances : 0, challenges : 0, and : 0, future : 0.47, directions : 0.57, nephelium : 0.45, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0.47, cultivated : 0.4, in : 0, southeast : 0.45, asia : 0.5, including : 0.45, indonesia : 0.45, manual : 0, types : 0, ripeness : 0.42, levels : 0.47, remains : 0.6, challenge : 0, due : 0, to : 0, high : 0.5, subjectivity : 0.56, time : 0.5, intensive : 0.53, nature : 0.47, process : 0, particularly : 0.39, large : 0, scale : 0, agricultural : 0.56, operations : 0.57, network : 0.6, cnn : 0, deep : 0.5, learning : 0.58, approach : 0, offers : 0, significant : 0.45, potential : 0.41, automating : 0.45, improving : 0.45, accuracy : 0, tasks : 0, by : 0, extracting : 0.75, complex : 0, visual : 0.47, features : 0.58, such : 0, as : 0, color : 0, texture : 0.73, this : 0.5, study : 0, employs : 0.52, slr : 0, evaluate : 0.63, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.6, trends : 0.47, utilizing : 0.41, purpose : 0, results : 0.6, demonstrate : 0.56, that : 0.5, achieves : 0.46, superior : 0.58, 90 : 0, compared : 0, traditional : 0.39, methods : 0.6, like : 0.5, k : 0, nearest : 0.46, neighbor : 0.58, knn : 0, however : 0, limitations : 0.56, include : 0.46, restricted : 0.57, dataset : 0.46, diversity : 0.41, insufficient : 0.44, testing : 0.62, under : 0, real : 0.5, world : 0, conditions : 0.57, recommendations : 0.44, emphasize : 0.51, need : 0.5, larger : 0, more : 0, diverse : 0.46, datasets : 0.46, integration : 0.51, additional : 0.57, media : 0.63, spectral : 0.58, data : 0.5, video : 0.48, enhance : 0.52, model : 0, robustness : 0.45 |
| 7. no | 130 words | 0.78 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0.55, neural : 0.6, networks : 0.78, for : 0.61, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0, directions : 0, nephelium : 0.58, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.54, widely : 0, cultivated : 0, in : 0, southeast : 0.54, asia : 0, including : 0.54, indonesia : 0.74, manual : 0.56, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0.67, high : 0, subjectivity : 0, time : 0, intensive : 0.54, nature : 0.6, process : 0.55, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0.53, network : 0.59, cnn : 0, deep : 0, learning : 0, approach : 0.54, offers : 0.56, significant : 0.53, potential : 0.54, automating : 0.53, improving : 0.54, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0.55, visual : 0, features : 0, such : 0, as : 0, color : 0.57, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0.58, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.54, identify : 0.54, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.56, that : 0, achieves : 0, superior : 0, 90 : 0, compared : 0.54, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0.59, neighbor : 0.59, knn : 0, however : 0.55, limitations : 0, include : 0.55, restricted : 0, dataset : 0, diversity : 0, insufficient : 0.53, testing : 0, under : 0.57, real : 0, world : 0.57, conditions : 0.57, recommendations : 0.52, emphasize : 0, need : 0.63, larger : 0, more : 0.58, diverse : 0, datasets : 0, integration : 0.53, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0.55, model : 0.57, robustness : 0.53 |
| 8. direct | 130 words | 0.92 | systematic : 0.34, literature : 0.61, review : 0.5, on : 0, the : 0.5, application : 0.59, of : 0, convolutional : 0.5, neural : 0.39, networks : 0.46, for : 0.5, rambutan : 0.53, fruit : 0.59, classification : 0.46, advances : 0.51, challenges : 0.34, and : 0.5, future : 0.56, directions : 0.92, nephelium : 0.43, lappaceum : 0.35, l : 0, is : 0.56, a : 0, tropical : 0.51, widely : 0.56, cultivated : 0.43, in : 0.56, southeast : 0.35, asia : 0.47, including : 0.52, indonesia : 0.5, manual : 0, types : 0.46, ripeness : 0.51, levels : 0.44, remains : 0.54, challenge : 0.43, due : 0.7, to : 0, high : 0.47, subjectivity : 0.58, time : 0.61, intensive : 0.5, nature : 0.56, process : 0.53, particularly : 0.5, large : 0.58, scale : 0.46, agricultural : 0.58, operations : 0.49, network : 0.44, cnn : 0, deep : 0.65, learning : 0.36, approach : 0.53, offers : 0.39, significant : 0.51, potential : 0.35, automating : 0.42, improving : 0.52, accuracy : 0.36, tasks : 0, by : 0, extracting : 0.52, complex : 0.44, visual : 0.44, features : 0.46, such : 0.47, as : 0, color : 0.46, texture : 0.54, this : 0.47, study : 0, employs : 0, slr : 0.5, evaluate : 0.53, relevant : 0.63, research : 0.63, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0.64, trends : 0.56, utilizing : 0.43, purpose : 0.44, results : 0.64, demonstrate : 0.63, that : 0.47, achieves : 0.46, superior : 0.36, 90 : 0, compared : 0.53, traditional : 0.55, methods : 0.44, like : 0.61, k : 0, nearest : 0.53, neighbor : 0.36, knn : 0, however : 0.44, limitations : 0.51, include : 0.54, restricted : 0.61, dataset : 0.68, diversity : 0.78, insufficient : 0.5, testing : 0.54, under : 0.59, real : 0.61, world : 0.46, conditions : 0.56, recommendations : 0.64, emphasize : 0.43, need : 0.47, larger : 0.56, more : 0.61, diverse : 0.73, datasets : 0.56, integration : 0.59, additional : 0.6, media : 0.53, spectral : 0.56, data : 0.52, video : 0.59, enhance : 0.44, model : 0.58, robustness : 0.49 |
| 9. script | 130 words | 0.72 | systematic : 0.56, literature : 0.43, review : 0.56, on : 0, the : 0, application : 0.59, of : 0, convolutional : 0.47, neural : 0.44, networks : 0.36, for : 0.5, rambutan : 0.53, fruit : 0.7, classification : 0.57, advances : 0, challenges : 0.42, and : 0, future : 0.44, directions : 0.61, nephelium : 0.35, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0.51, widely : 0.44, cultivated : 0.49, in : 0, southeast : 0.57, asia : 0.61, including : 0.35, indonesia : 0.43, manual : 0, types : 0.46, ripeness : 0.63, levels : 0, remains : 0.54, challenge : 0.43, due : 0, to : 0, high : 0.47, subjectivity : 0.63, time : 0.47, intensive : 0.52, nature : 0.44, process : 0.37, particularly : 0.62, large : 0.46, scale : 0.66, agricultural : 0.54, operations : 0.52, network : 0, cnn : 0.5, deep : 0.47, learning : 0.53, approach : 0.36, offers : 0.44, significant : 0.55, potential : 0.35, automating : 0.34, improving : 0.44, accuracy : 0.53, tasks : 0.46, by : 0, extracting : 0.56, complex : 0.54, visual : 0.39, features : 0.36, such : 0.65, as : 0.56, color : 0.58, texture : 0.44, this : 0.47, study : 0.51, employs : 0.44, slr : 0.7, evaluate : 0.43, relevant : 0.53, research : 0.36, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0, identify : 0.53, trends : 0.44, utilizing : 0.43, purpose : 0.54, results : 0.53, demonstrate : 0.42, that : 0.47, achieves : 0.53, superior : 0.64, 90 : 0, compared : 0.51, traditional : 0.59, methods : 0, like : 0.47, k : 0, nearest : 0.54, neighbor : 0.43, knn : 0, however : 0, limitations : 0.51, include : 0.44, restricted : 0.52, dataset : 0.44, diversity : 0.5, insufficient : 0.33, testing : 0.53, under : 0.46, real : 0.47, world : 0.46, conditions : 0.6, recommendations : 0.46, emphasize : 0.35, need : 0, larger : 0.44, more : 0.47, diverse : 0.37, datasets : 0.43, integration : 0.42, additional : 0.51, media : 0.46, spectral : 0.72, data : 0, video : 0.46, enhance : 0, model : 0, robustness : 0.49 |
| 10. access | 130 words | 0.78 | systematic : 0.49, literature : 0.42, review : 0.44, on : 0, the : 0.5, application : 0.55, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.53, for : 0, rambutan : 0.43, fruit : 0, classification : 0.6, advances : 0.75, challenges : 0.61, and : 0.55, future : 0.44, directions : 0.49, nephelium : 0.43, lappaceum : 0.61, l : 0, is : 0, a : 0.75, tropical : 0.43, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.52, asia : 0.52, including : 0.43, indonesia : 0.52, manual : 0.44, types : 0.58, ripeness : 0.63, levels : 0.56, remains : 0.54, challenge : 0.5, due : 0.5, to : 0, high : 0, subjectivity : 0.47, time : 0.47, intensive : 0.52, nature : 0.56, process : 0.75, particularly : 0.5, large : 0.58, scale : 0.59, agricultural : 0.55, operations : 0.49, network : 0.44, cnn : 0.5, deep : 0.47, learning : 0.36, approach : 0.49, offers : 0.56, significant : 0.42, potential : 0.43, automating : 0.48, improving : 0, accuracy : 0.74, tasks : 0.7, by : 0, extracting : 0.43, complex : 0.54, visual : 0.44, features : 0.51, such : 0.47, as : 0.6, color : 0.46, texture : 0.44, this : 0.47, study : 0, employs : 0.44, slr : 0, evaluate : 0.36, relevant : 0.43, research : 0.53, from : 0, 2019 : 0, 2024 : 0, was : 0.67, analyzed : 0.58, identify : 0.43, trends : 0.56, utilizing : 0, purpose : 0.44, results : 0.64, demonstrate : 0.51, that : 0.47, achieves : 0.78, superior : 0.43, 90 : 0, compared : 0.53, traditional : 0.42, methods : 0.54, like : 0.47, k : 0, nearest : 0.53, neighbor : 0.43, knn : 0, however : 0.44, limitations : 0, include : 0.44, restricted : 0.43, dataset : 0.53, diversity : 0.52, insufficient : 0.33, testing : 0.54, under : 0.46, real : 0.44, world : 0, conditions : 0.51, recommendations : 0.32, emphasize : 0.52, need : 0.47, larger : 0.56, more : 0.47, diverse : 0.54, datasets : 0.64, integration : 0.42, additional : 0.48, media : 0.46, spectral : 0.36, data : 0.47, video : 0.46, enhance : 0, model : 0.46, robustness : 0.49 |
| 11. allowed | 130 words | 0.74 | systematic : 0.41, literature : 0.5, review : 0.37, on : 0, the : 0, application : 0.54, of : 0, convolutional : 0.31, neural : 0, networks : 0.35, for : 0.49, rambutan : 0.42, fruit : 0, classification : 0.31, advances : 0.56, challenges : 0.66, and : 0.54, future : 0.44, directions : 0.33, nephelium : 0.34, lappaceum : 0.48, l : 0.71, is : 0, a : 0.74, tropical : 0.42, widely : 0.37, cultivated : 0.58, in : 0, southeast : 0.5, asia : 0.52, including : 0.5, indonesia : 0.5, manual : 0.44, types : 0.45, ripeness : 0.42, levels : 0.53, remains : 0, challenge : 0.67, due : 0, to : 0.55, high : 0, subjectivity : 0.41, time : 0.46, intensive : 0.42, nature : 0.54, process : 0.52, particularly : 0.48, large : 0.57, scale : 0.68, agricultural : 0.54, operations : 0.41, network : 0.36, cnn : 0, deep : 0, learning : 0.35, approach : 0.56, offers : 0.44, significant : 0, potential : 0.5, automating : 0.55, improving : 0.42, accuracy : 0.48, tasks : 0.45, by : 0, extracting : 0.41, complex : 0.51, visual : 0, features : 0.51, such : 0, as : 0.59, color : 0.4, texture : 0.43, this : 0, study : 0, employs : 0.52, slr : 0.49, evaluate : 0.6, relevant : 0.51, research : 0.42, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.72, identify : 0.42, trends : 0.44, utilizing : 0.42, purpose : 0.52, results : 0.43, demonstrate : 0.32, that : 0.46, achieves : 0.56, superior : 0.35, 90 : 0, compared : 0.6, traditional : 0.46, methods : 0.52, like : 0.6, k : 0, nearest : 0.52, neighbor : 0.42, knn : 0, however : 0.62, limitations : 0.41, include : 0.51, restricted : 0.5, dataset : 0.52, diversity : 0.42, insufficient : 0.41, testing : 0, under : 0.45, real : 0.6, world : 0.57, conditions : 0.5, recommendations : 0.43, emphasize : 0.42, need : 0, larger : 0.53, more : 0.6, diverse : 0.43, datasets : 0.51, integration : 0.41, additional : 0.52, media : 0, spectral : 0.42, data : 0.46, video : 0.4, enhance : 0.43, model : 0.51, robustness : 0.5 |
| 12. doctype | 130 words | 0.68 | systematic : 0.47, literature : 0.5, review : 0.44, on : 0.55, the : 0, application : 0.4, of : 0.55, convolutional : 0.44, neural : 0, networks : 0.35, for : 0.49, rambutan : 0.42, fruit : 0.45, classification : 0.4, advances : 0.6, challenges : 0.5, and : 0.49, future : 0.54, directions : 0.58, nephelium : 0.5, lappaceum : 0.48, l : 0, is : 0, a : 0, tropical : 0.52, widely : 0.54, cultivated : 0.58, in : 0, southeast : 0.59, asia : 0, including : 0.42, indonesia : 0.59, manual : 0, types : 0, ripeness : 0.51, levels : 0, remains : 0, challenge : 0.5, due : 0.54, to : 0.55, high : 0, subjectivity : 0.39, time : 0, intensive : 0.5, nature : 0.54, process : 0.62, particularly : 0.45, large : 0.45, scale : 0.56, agricultural : 0.48, operations : 0.53, network : 0.43, cnn : 0.49, deep : 0.64, learning : 0, approach : 0.35, offers : 0.44, significant : 0, potential : 0.59, automating : 0.33, improving : 0.34, accuracy : 0.51, tasks : 0, by : 0, extracting : 0.33, complex : 0.63, visual : 0, features : 0.51, such : 0.46, as : 0, color : 0.4, texture : 0.52, this : 0, study : 0.56, employs : 0.43, slr : 0, evaluate : 0.51, relevant : 0.42, research : 0.42, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.51, identify : 0.6, trends : 0, utilizing : 0.42, purpose : 0.52, results : 0.43, demonstrate : 0.68, that : 0.46, achieves : 0.51, superior : 0.51, 90 : 0, compared : 0.61, traditional : 0.32, methods : 0.43, like : 0, k : 0, nearest : 0.43, neighbor : 0, knn : 0, however : 0.52, limitations : 0.41, include : 0.52, restricted : 0.47, dataset : 0.66, diversity : 0.55, insufficient : 0.48, testing : 0.43, under : 0.45, real : 0, world : 0.45, conditions : 0.57, recommendations : 0.43, emphasize : 0.5, need : 0, larger : 0.44, more : 0.46, diverse : 0.57, datasets : 0.64, integration : 0.49, additional : 0.5, media : 0.45, spectral : 0.51, data : 0.64, video : 0.45, enhance : 0.43, model : 0.4, robustness : 0.58 |
| 13. html | 130 words | 0.67 | systematic : 0.57, literature : 0.4, review : 0, on : 0, the : 0.56, application : 0.45, of : 0, convolutional : 0.44, neural : 0.47, networks : 0.46, for : 0, rambutan : 0.46, fruit : 0, classification : 0.44, advances : 0, challenges : 0.57, and : 0, future : 0.47, directions : 0.45, nephelium : 0.57, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0.46, widely : 0.47, cultivated : 0.4, in : 0, southeast : 0.45, asia : 0, including : 0.45, indonesia : 0, manual : 0.61, types : 0.48, ripeness : 0, levels : 0.47, remains : 0.46, challenge : 0.57, due : 0, to : 0.58, high : 0.55, subjectivity : 0.44, time : 0.67, intensive : 0.45, nature : 0.47, process : 0, particularly : 0.56, large : 0, scale : 0.48, agricultural : 0.44, operations : 0.45, network : 0.46, cnn : 0, deep : 0, learning : 0.46, approach : 0, offers : 0, significant : 0, potential : 0.45, automating : 0.57, improving : 0.45, accuracy : 0, tasks : 0.48, by : 0, extracting : 0.45, complex : 0.6, visual : 0.47, features : 0.46, such : 0, as : 0, color : 0.48, texture : 0.46, this : 0.5, study : 0.48, employs : 0.6, slr : 0, evaluate : 0.46, relevant : 0.46, research : 0, from : 0.5, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.46, identify : 0.46, trends : 0.47, utilizing : 0.57, purpose : 0, results : 0.46, demonstrate : 0.45, that : 0.5, achieves : 0.46, superior : 0, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0.43, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0.52, limitations : 0.56, include : 0.46, restricted : 0.45, dataset : 0.46, diversity : 0, insufficient : 0, testing : 0.46, under : 0, real : 0.5, world : 0.48, conditions : 0.45, recommendations : 0.44, emphasize : 0.41, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0.46, integration : 0.45, additional : 0.45, media : 0, spectral : 0.46, data : 0.5, video : 0, enhance : 0.46, model : 0.48, robustness : 0.45 |
| 14. lang | 130 words | 0.83 | systematic : 0, literature : 0.61, review : 0, on : 0.58, the : 0, application : 0.39, of : 0, convolutional : 0.38, neural : 0.47, networks : 0.46, for : 0, rambutan : 0.46, fruit : 0, classification : 0.55, advances : 0.58, challenges : 0.72, and : 0.72, future : 0, directions : 0, nephelium : 0.45, lappaceum : 0.66, l : 0.78, is : 0, a : 0.75, tropical : 0, widely : 0, cultivated : 0.45, in : 0.58, southeast : 0, asia : 0.5, including : 0.41, indonesia : 0.45, manual : 0.61, types : 0, ripeness : 0.46, levels : 0.52, remains : 0.46, challenge : 0.41, due : 0, to : 0, high : 0.5, subjectivity : 0, time : 0, intensive : 0.45, nature : 0.44, process : 0, particularly : 0.44, large : 0.83, scale : 0.48, agricultural : 0.56, operations : 0.45, network : 0.46, cnn : 0.53, deep : 0, learning : 0.74, approach : 0.46, offers : 0, significant : 0.39, potential : 0.45, automating : 0.45, improving : 0, accuracy : 0.46, tasks : 0.48, by : 0, extracting : 0.45, complex : 0, visual : 0, features : 0.46, such : 0, as : 0.58, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0.53, evaluate : 0.42, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.54, identify : 0.46, trends : 0.47, utilizing : 0.45, purpose : 0, results : 0, demonstrate : 0.45, that : 0.5, achieves : 0.46, superior : 0, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0, like : 0.55, k : 0, nearest : 0.43, neighbor : 0.58, knn : 0.53, however : 0, limitations : 0.6, include : 0.46, restricted : 0, dataset : 0.46, diversity : 0, insufficient : 0.44, testing : 0, under : 0.48, real : 0.5, world : 0, conditions : 0.45, recommendations : 0.44, emphasize : 0.45, need : 0, larger : 0.8, more : 0, diverse : 0, datasets : 0.46, integration : 0.56, additional : 0.45, media : 0, spectral : 0, data : 0.5, video : 0, enhance : 0.43, model : 0, robustness : 0.45 |
| 15. en | 130 words | 0.81 | systematic : 0.53, literature : 0.53, review : 0.56, on : 0.67, the : 0, application : 0, of : 0, convolutional : 0.53, neural : 0.61, networks : 0.58, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0.54, challenges : 0, and : 0.61, future : 0, directions : 0.53, nephelium : 0.57, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0, in : 0.67, southeast : 0, asia : 0, including : 0.54, indonesia : 0.54, manual : 0.56, types : 0, ripeness : 0.75, levels : 0.56, remains : 0.55, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0.53, time : 0, intensive : 0.57, nature : 0.56, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0.53, network : 0.6, cnn : 0.61, deep : 0.58, learning : 0.75, approach : 0, offers : 0, significant : 0.53, potential : 0.74, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0.58, complex : 0, visual : 0, features : 0.54, such : 0, as : 0, color : 0, texture : 0.55, this : 0, study : 0, employs : 0.59, slr : 0, evaluate : 0.59, relevant : 0.54, research : 0.54, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.54, identify : 0.75, trends : 0.78, utilizing : 0, purpose : 0, results : 0.55, demonstrate : 0.73, that : 0, achieves : 0, superior : 0.54, 90 : 0, compared : 0, traditional : 0, methods : 0.55, like : 0, k : 0, nearest : 0.6, neighbor : 0.58, knn : 0.61, however : 0, limitations : 0, include : 0.55, restricted : 0.53, dataset : 0, diversity : 0.54, insufficient : 0.53, testing : 0.55, under : 0.57, real : 0.58, world : 0, conditions : 0.53, recommendations : 0.71, emphasize : 0.58, need : 0.67, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0.56, additional : 0, media : 0.57, spectral : 0.54, data : 0, video : 0, enhance : 0.81, model : 0, robustness : 0 |
| 16. head | 130 words | 0.72 | systematic : 0.57, literature : 0.57, review : 0.47, on : 0, the : 0.72, application : 0.45, of : 0, convolutional : 0, neural : 0.61, networks : 0.46, for : 0, rambutan : 0.46, fruit : 0, classification : 0.44, advances : 0.58, challenges : 0.57, and : 0.53, future : 0, directions : 0.4, nephelium : 0.41, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0, widely : 0.44, cultivated : 0.45, in : 0, southeast : 0, asia : 0.5, including : 0.45, indonesia : 0.45, manual : 0.47, types : 0, ripeness : 0.46, levels : 0.47, remains : 0.6, challenge : 0.57, due : 0.53, to : 0, high : 0.55, subjectivity : 0.44, time : 0, intensive : 0.45, nature : 0.47, process : 0, particularly : 0.44, large : 0.48, scale : 0.48, agricultural : 0.44, operations : 0.57, network : 0.46, cnn : 0, deep : 0.5, learning : 0.58, approach : 0.46, offers : 0.47, significant : 0, potential : 0.45, automating : 0.45, improving : 0, accuracy : 0.46, tasks : 0.48, by : 0, extracting : 0.57, complex : 0, visual : 0.47, features : 0.58, such : 0, as : 0, color : 0, texture : 0.46, this : 0.5, study : 0.48, employs : 0.46, slr : 0, evaluate : 0.58, relevant : 0.58, research : 0.58, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.46, identify : 0.42, trends : 0.61, utilizing : 0, purpose : 0, results : 0.46, demonstrate : 0.39, that : 0.67, achieves : 0.54, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.56, methods : 0.6, like : 0, k : 0, nearest : 0.6, neighbor : 0.46, knn : 0, however : 0.64, limitations : 0.45, include : 0.46, restricted : 0.45, dataset : 0.46, diversity : 0.41, insufficient : 0, testing : 0.46, under : 0.48, real : 0.67, world : 0.48, conditions : 0.45, recommendations : 0.54, emphasize : 0.58, need : 0.67, larger : 0.47, more : 0, diverse : 0.46, datasets : 0.42, integration : 0.56, additional : 0.57, media : 0.63, spectral : 0.46, data : 0.5, video : 0.48, enhance : 0.62, model : 0.48, robustness : 0 |
| 17. meta | 130 words | 0.83 | systematic : 0.57, literature : 0.57, review : 0.47, on : 0, the : 0.53, application : 0.45, of : 0, convolutional : 0.44, neural : 0.61, networks : 0.58, for : 0, rambutan : 0.54, fruit : 0, classification : 0.44, advances : 0.46, challenges : 0.4, and : 0, future : 0.47, directions : 0.57, nephelium : 0.45, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0.58, widely : 0.47, cultivated : 0.57, in : 0, southeast : 0.57, asia : 0.5, including : 0, indonesia : 0, manual : 0.65, types : 0, ripeness : 0.46, levels : 0.47, remains : 0.62, challenge : 0.45, due : 0.53, to : 0, high : 0, subjectivity : 0.56, time : 0, intensive : 0.41, nature : 0.44, process : 0, particularly : 0.39, large : 0, scale : 0.48, agricultural : 0.39, operations : 0.57, network : 0.6, cnn : 0, deep : 0.5, learning : 0.58, approach : 0.46, offers : 0.47, significant : 0, potential : 0.41, automating : 0.57, improving : 0.45, accuracy : 0.46, tasks : 0, by : 0, extracting : 0.68, complex : 0.46, visual : 0.47, features : 0.6, such : 0, as : 0, color : 0, texture : 0.43, this : 0, study : 0.48, employs : 0.43, slr : 0, evaluate : 0.58, relevant : 0.58, research : 0.58, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.46, identify : 0.58, trends : 0.44, utilizing : 0.45, purpose : 0, results : 0.46, demonstrate : 0.56, that : 0.5, achieves : 0.42, superior : 0.46, 90 : 0, compared : 0.58, traditional : 0.56, methods : 0.81, like : 0, k : 0, nearest : 0.6, neighbor : 0.46, knn : 0, however : 0.46, limitations : 0.67, include : 0, restricted : 0.57, dataset : 0.43, diversity : 0.45, insufficient : 0, testing : 0.43, under : 0, real : 0.67, world : 0, conditions : 0.45, recommendations : 0.54, emphasize : 0.58, need : 0.5, larger : 0.47, more : 0.55, diverse : 0.46, datasets : 0.42, integration : 0.56, additional : 0.4, media : 0.83, spectral : 0.71, data : 0.67, video : 0, enhance : 0.6, model : 0.54, robustness : 0.45 |
| 18. charset | 130 words | 0.77 | systematic : 0.53, literature : 0.49, review : 0.44, on : 0, the : 0.49, application : 0.49, of : 0, convolutional : 0.53, neural : 0.37, networks : 0.51, for : 0.49, rambutan : 0.49, fruit : 0.56, classification : 0.66, advances : 0.49, challenges : 0.76, and : 0.49, future : 0.54, directions : 0.53, nephelium : 0.5, lappaceum : 0.5, l : 0, is : 0, a : 0.71, tropical : 0.42, widely : 0.44, cultivated : 0.58, in : 0, southeast : 0.55, asia : 0.46, including : 0.42, indonesia : 0.34, manual : 0.44, types : 0.4, ripeness : 0.49, levels : 0.37, remains : 0.52, challenge : 0.77, due : 0, to : 0, high : 0.46, subjectivity : 0.51, time : 0.46, intensive : 0.34, nature : 0.64, process : 0.51, particularly : 0.47, large : 0.68, scale : 0.68, agricultural : 0.51, operations : 0.57, network : 0.43, cnn : 0.54, deep : 0, learning : 0.51, approach : 0.51, offers : 0.48, significant : 0.49, potential : 0.5, automating : 0.5, improving : 0.42, accuracy : 0.49, tasks : 0.56, by : 0, extracting : 0.47, complex : 0.57, visual : 0.37, features : 0.68, such : 0.6, as : 0.55, color : 0.61, texture : 0.52, this : 0.6, study : 0, employs : 0.43, slr : 0.49, evaluate : 0.49, relevant : 0.57, research : 0.52, from : 0.46, 2019 : 0, 2024 : 0, was : 0.65, analyzed : 0.51, identify : 0.51, trends : 0.54, utilizing : 0, purpose : 0.62, results : 0.52, demonstrate : 0.52, that : 0.6, achieves : 0.61, superior : 0.35, 90 : 0, compared : 0.72, traditional : 0.46, methods : 0.52, like : 0.46, k : 0, nearest : 0.74, neighbor : 0.42, knn : 0, however : 0.52, limitations : 0.32, include : 0.52, restricted : 0.57, dataset : 0.71, diversity : 0.55, insufficient : 0.56, testing : 0.43, under : 0.4, real : 0.46, world : 0.45, conditions : 0.55, recommendations : 0.49, emphasize : 0.67, need : 0, larger : 0.64, more : 0.6, diverse : 0.45, datasets : 0.69, integration : 0.48, additional : 0.5, media : 0.45, spectral : 0.52, data : 0.46, video : 0.45, enhance : 0.62, model : 0.45, robustness : 0.57 |
| 19. utf | 130 words | 0.7 | systematic : 0.48, literature : 0.48, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0.5, networks : 0.49, for : 0, rambutan : 0, fruit : 0, classification : 0.47, advances : 0, challenges : 0, and : 0, future : 0.67, directions : 0.48, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0, cultivated : 0.62, in : 0, southeast : 0.63, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0.51, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0.61, time : 0.53, intensive : 0.48, nature : 0.5, process : 0, particularly : 0.47, large : 0, scale : 0, agricultural : 0.47, operations : 0.48, network : 0.49, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0.5, significant : 0.47, potential : 0.48, automating : 0.62, improving : 0, accuracy : 0.49, tasks : 0.51, by : 0, extracting : 0.48, complex : 0, visual : 0, features : 0.47, such : 0.53, as : 0, color : 0, texture : 0.49, this : 0.53, study : 0.51, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.49, trends : 0.5, utilizing : 0.7, purpose : 0.49, results : 0, demonstrate : 0, that : 0.53, achieves : 0, superior : 0.49, 90 : 0, compared : 0, traditional : 0.47, methods : 0.49, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0.47, include : 0, restricted : 0.48, dataset : 0.49, diversity : 0, insufficient : 0.61, testing : 0.49, under : 0.56, real : 0, world : 0, conditions : 0.48, recommendations : 0, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0.49, integration : 0.47, additional : 0.48, media : 0, spectral : 0.49, data : 0.53, video : 0, enhance : 0, model : 0, robustness : 0.62 |
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| 21. http | 130 words | 0.72 | systematic : 0.45, literature : 0.57, review : 0, on : 0, the : 0.56, application : 0.45, of : 0, convolutional : 0.44, neural : 0, networks : 0.46, for : 0, rambutan : 0.46, fruit : 0, classification : 0, advances : 0, challenges : 0.45, and : 0, future : 0.47, directions : 0.45, nephelium : 0.41, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0.58, widely : 0, cultivated : 0.45, in : 0, southeast : 0.45, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0.63, ripeness : 0.46, levels : 0, remains : 0, challenge : 0.45, due : 0, to : 0.58, high : 0.55, subjectivity : 0.44, time : 0.5, intensive : 0.45, nature : 0.47, process : 0, particularly : 0.39, large : 0, scale : 0, agricultural : 0.44, operations : 0.4, network : 0.46, cnn : 0, deep : 0.5, learning : 0, approach : 0.46, offers : 0, significant : 0, potential : 0.58, automating : 0.57, improving : 0.45, accuracy : 0, tasks : 0.48, by : 0, extracting : 0.57, complex : 0.46, visual : 0, features : 0.46, such : 0, as : 0, color : 0, texture : 0.6, this : 0.5, study : 0.48, employs : 0.46, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.46, trends : 0.47, utilizing : 0.45, purpose : 0.46, results : 0, demonstrate : 0.45, that : 0.72, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.56, methods : 0.46, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0.52, limitations : 0.56, include : 0, restricted : 0.45, dataset : 0.46, diversity : 0, insufficient : 0, testing : 0.6, under : 0, real : 0, world : 0, conditions : 0.45, recommendations : 0, emphasize : 0.41, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0.46, integration : 0.45, additional : 0.45, media : 0, spectral : 0.42, data : 0.5, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
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| 23. x | 130 words | 0.71 | 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 : 0.7, complex : 0, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0.71, 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 |
| 24. ua | 130 words | 0.61 | systematic : 0, literature : 0.53, review : 0, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0, neural : 0.56, networks : 0, for : 0, rambutan : 0.54, fruit : 0, classification : 0.52, advances : 0.54, challenges : 0.53, and : 0, future : 0.56, directions : 0, nephelium : 0, lappaceum : 0.54, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0.53, in : 0, southeast : 0.54, asia : 0.58, including : 0, indonesia : 0, manual : 0.56, types : 0, ripeness : 0, levels : 0, remains : 0.55, challenge : 0.54, due : 0, to : 0, high : 0, subjectivity : 0.53, time : 0, intensive : 0, nature : 0.56, process : 0, particularly : 0.53, large : 0.57, scale : 0.57, agricultural : 0.56, operations : 0.53, network : 0, cnn : 0, deep : 0, learning : 0.54, approach : 0.54, offers : 0, significant : 0, potential : 0, automating : 0.57, improving : 0, accuracy : 0.58, tasks : 0.57, by : 0, extracting : 0.53, complex : 0, visual : 0, features : 0.54, such : 0.58, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0.54, relevant : 0, research : 0.54, from : 0, 2019 : 0, 2024 : 0, was : 0.61, analyzed : 0.54, identify : 0, trends : 0, utilizing : 0.58, purpose : 0.55, results : 0, demonstrate : 0, that : 0.58, achieves : 0.54, superior : 0.54, 90 : 0, compared : 0.54, traditional : 0.53, methods : 0, like : 0, k : 0, nearest : 0.55, neighbor : 0, knn : 0, however : 0, limitations : 0.53, include : 0, restricted : 0, dataset : 0.55, diversity : 0, insufficient : 0.53, testing : 0, under : 0.61, real : 0.58, world : 0, conditions : 0, recommendations : 0, emphasize : 0.54, need : 0, larger : 0.56, more : 0, diverse : 0, datasets : 0.54, integration : 0, additional : 0.53, media : 0, spectral : 0, data : 0.58, video : 0, enhance : 0.55, model : 0, robustness : 0.53 |
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| 26. content | 130 words | 0.82 | systematic : 0.58, literature : 0.58, review : 0.44, on : 0.76, the : 0.49, application : 0.41, of : 0.55, convolutional : 0.79, neural : 0.44, networks : 0.57, for : 0.49, rambutan : 0.51, fruit : 0.45, classification : 0.53, advances : 0.51, challenges : 0.52, and : 0.49, future : 0.54, directions : 0.53, nephelium : 0.5, lappaceum : 0.42, l : 0, is : 0, a : 0, tropical : 0.35, widely : 0.44, cultivated : 0.62, in : 0.55, southeast : 0.67, asia : 0, including : 0.48, indonesia : 0.51, manual : 0.44, types : 0.45, ripeness : 0.35, levels : 0.44, remains : 0.43, challenge : 0.63, due : 0.49, to : 0.55, high : 0, subjectivity : 0.51, time : 0.46, intensive : 0.67, nature : 0.64, process : 0.52, particularly : 0.32, large : 0.45, scale : 0.56, agricultural : 0.48, operations : 0.57, network : 0.52, cnn : 0.69, deep : 0.46, learning : 0.49, approach : 0.42, offers : 0.54, significant : 0.57, potential : 0.66, automating : 0.49, improving : 0.5, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.49, complex : 0.7, visual : 0, features : 0.35, such : 0.46, as : 0, color : 0.65, texture : 0.52, this : 0, study : 0.45, employs : 0, slr : 0, evaluate : 0.51, relevant : 0.6, research : 0.42, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.51, identify : 0.43, trends : 0.37, utilizing : 0.5, purpose : 0.43, results : 0.43, demonstrate : 0.59, that : 0.46, achieves : 0.51, superior : 0.42, 90 : 0, compared : 0.68, traditional : 0.46, methods : 0.43, like : 0.46, k : 0, nearest : 0.62, neighbor : 0.51, knn : 0.49, however : 0.52, limitations : 0.46, include : 0.51, restricted : 0.47, dataset : 0.62, diversity : 0.5, insufficient : 0.63, testing : 0.52, under : 0.56, real : 0, world : 0.45, conditions : 0.82, recommendations : 0.55, emphasize : 0, need : 0.6, larger : 0.44, more : 0.6, diverse : 0.43, datasets : 0.6, integration : 0.65, additional : 0.5, media : 0, spectral : 0.43, data : 0.46, video : 0.45, enhance : 0.51, model : 0.56, robustness : 0.57 |
| 27. ie | 130 words | 0.78 | systematic : 0.53, literature : 0.73, review : 0.56, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0, neural : 0.56, networks : 0.54, for : 0, rambutan : 0, fruit : 0, classification : 0.52, advances : 0, challenges : 0.53, and : 0, future : 0, directions : 0.73, nephelium : 0.54, lappaceum : 0, l : 0, is : 0.7, a : 0, tropical : 0, widely : 0.78, cultivated : 0.53, in : 0.7, southeast : 0, asia : 0, including : 0.58, indonesia : 0.58, manual : 0, types : 0, ripeness : 0.75, levels : 0.56, remains : 0.55, challenge : 0, due : 0, to : 0, high : 0.58, subjectivity : 0.53, time : 0.58, intensive : 0.77, nature : 0, process : 0, particularly : 0.53, large : 0, scale : 0, agricultural : 0.53, operations : 0.53, network : 0.55, cnn : 0, deep : 0.58, learning : 0.54, approach : 0, offers : 0.56, significant : 0.53, potential : 0.54, automating : 0, improving : 0.58, accuracy : 0, tasks : 0, by : 0, extracting : 0.53, complex : 0, visual : 0.56, features : 0.54, such : 0, as : 0, color : 0, texture : 0.55, this : 0, study : 0, employs : 0.55, slr : 0, evaluate : 0.54, relevant : 0.54, research : 0.54, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.78, trends : 0.56, utilizing : 0.54, purpose : 0, results : 0.55, demonstrate : 0.53, that : 0, achieves : 0.75, superior : 0.54, 90 : 0, compared : 0, traditional : 0.53, methods : 0.55, like : 0.58, k : 0, nearest : 0.55, neighbor : 0.58, knn : 0, however : 0.55, limitations : 0.53, include : 0.59, restricted : 0.53, dataset : 0, diversity : 0.74, insufficient : 0.58, testing : 0.55, under : 0, real : 0.58, world : 0, conditions : 0.53, recommendations : 0.52, emphasize : 0.54, need : 0.58, larger : 0, more : 0, diverse : 0.76, datasets : 0, integration : 0.75, additional : 0.53, media : 0.57, spectral : 0.54, data : 0, video : 0.57, enhance : 0.55, model : 0, robustness : 0 |
| 28. edge | 130 words | 0.72 | systematic : 0.45, literature : 0.45, review : 0.61, on : 0, the : 0.53, application : 0, of : 0, convolutional : 0, neural : 0.47, networks : 0.46, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0.58, challenges : 0.45, and : 0.53, future : 0.47, directions : 0.4, nephelium : 0.57, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0, widely : 0.61, cultivated : 0, in : 0, southeast : 0.45, asia : 0, including : 0, indonesia : 0.57, manual : 0, types : 0.48, ripeness : 0.58, levels : 0.61, remains : 0.46, challenge : 0.45, due : 0.72, to : 0, high : 0.5, subjectivity : 0.44, time : 0.5, intensive : 0.45, nature : 0.47, process : 0.46, particularly : 0, large : 0.63, scale : 0.48, agricultural : 0.44, operations : 0.45, network : 0.46, cnn : 0, deep : 0.72, learning : 0.46, approach : 0, offers : 0.47, significant : 0.45, potential : 0.45, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0, extracting : 0.51, complex : 0.46, visual : 0, features : 0.58, such : 0, as : 0, color : 0, texture : 0.46, this : 0, study : 0, employs : 0.52, slr : 0, evaluate : 0.51, relevant : 0.58, research : 0.58, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.46, identify : 0.42, trends : 0.47, utilizing : 0, purpose : 0, results : 0.46, demonstrate : 0.39, that : 0, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0.46, like : 0.5, k : 0, nearest : 0.6, neighbor : 0.58, knn : 0, however : 0.46, limitations : 0, include : 0, restricted : 0.45, dataset : 0.6, diversity : 0.41, insufficient : 0, testing : 0.46, under : 0.63, real : 0.5, world : 0, conditions : 0.45, recommendations : 0.54, emphasize : 0.51, need : 0.67, larger : 0.61, more : 0.5, diverse : 0.6, datasets : 0.58, integration : 0.56, additional : 0.45, media : 0.63, spectral : 0.46, data : 0.5, video : 0.63, enhance : 0.52, model : 0.63, robustness : 0.45 |
| 29. name | 130 words | 0.8 | systematic : 0.4, literature : 0.4, review : 0.47, on : 0.58, the : 0.53, application : 0.45, of : 0, convolutional : 0.44, neural : 0.65, networks : 0.63, for : 0, rambutan : 0.58, fruit : 0, classification : 0.44, advances : 0.58, challenges : 0.57, and : 0.56, future : 0.47, directions : 0.45, nephelium : 0.62, lappaceum : 0.57, l : 0, is : 0, a : 0.75, tropical : 0, widely : 0.47, cultivated : 0, in : 0.58, southeast : 0.45, asia : 0.5, including : 0.45, indonesia : 0.57, manual : 0.64, types : 0.48, ripeness : 0.46, levels : 0.47, remains : 0.62, challenge : 0.57, due : 0.53, to : 0, high : 0, subjectivity : 0.44, time : 0.67, intensive : 0.57, nature : 0.8, process : 0.46, particularly : 0.44, large : 0.63, scale : 0.63, agricultural : 0.44, operations : 0.4, network : 0.64, cnn : 0.53, deep : 0.5, learning : 0.42, approach : 0.46, offers : 0.47, significant : 0.45, potential : 0.45, automating : 0.57, improving : 0.45, accuracy : 0.46, tasks : 0.48, by : 0, extracting : 0.4, complex : 0.6, visual : 0, features : 0.42, such : 0, as : 0.58, color : 0, texture : 0.46, this : 0, study : 0, employs : 0.46, slr : 0, evaluate : 0.42, relevant : 0.46, research : 0.42, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.6, identify : 0.42, trends : 0.47, utilizing : 0, purpose : 0, results : 0.46, demonstrate : 0.56, that : 0.5, achieves : 0.58, superior : 0.46, 90 : 0, compared : 0.6, traditional : 0.45, methods : 0.6, like : 0.5, k : 0, nearest : 0.65, neighbor : 0.63, knn : 0.53, however : 0.46, limitations : 0.39, include : 0.46, restricted : 0.45, dataset : 0.6, diversity : 0.45, insufficient : 0.44, testing : 0.46, under : 0.63, real : 0.5, world : 0, conditions : 0.45, recommendations : 0.38, emphasize : 0.58, need : 0.7, larger : 0.61, more : 0.5, diverse : 0.46, datasets : 0.58, integration : 0.56, additional : 0.45, media : 0, spectral : 0.46, data : 0.5, video : 0.48, enhance : 0.6, model : 0.48, robustness : 0.45 |
| 30. viewport | 130 words | 0.81 | systematic : 0.32, literature : 0.63, review : 0.6, on : 0, the : 0.49, application : 0.45, of : 0, convolutional : 0.42, neural : 0.53, networks : 0.67, for : 0, rambutan : 0.42, fruit : 0.55, classification : 0.46, advances : 0.42, challenges : 0.41, and : 0, future : 0.36, directions : 0.58, nephelium : 0.49, lappaceum : 0.41, l : 0, is : 0.54, a : 0, tropical : 0.47, widely : 0.46, cultivated : 0.32, in : 0.54, southeast : 0.49, asia : 0.46, including : 0.41, indonesia : 0.46, manual : 0, types : 0.38, ripeness : 0.47, levels : 0.36, remains : 0.35, challenge : 0.41, due : 0.49, to : 0, high : 0.46, subjectivity : 0.47, time : 0.58, intensive : 0.49, nature : 0.36, process : 0.35, particularly : 0.44, large : 0.44, scale : 0.44, agricultural : 0.43, operations : 0.54, network : 0.69, cnn : 0, deep : 0.58, learning : 0.5, approach : 0.47, offers : 0.53, significant : 0.48, potential : 0.49, automating : 0.48, improving : 0.56, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.56, complex : 0.35, visual : 0.62, features : 0.5, such : 0, as : 0, color : 0.55, texture : 0.51, this : 0.46, study : 0, employs : 0.6, slr : 0, evaluate : 0.47, relevant : 0.5, research : 0.5, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0, identify : 0.58, trends : 0.43, utilizing : 0.41, purpose : 0.51, results : 0.51, demonstrate : 0.54, that : 0, achieves : 0.5, superior : 0.5, 90 : 0, compared : 0.5, traditional : 0.44, methods : 0.51, like : 0.58, k : 0, nearest : 0.6, neighbor : 0.58, knn : 0, however : 0.49, limitations : 0.44, include : 0.42, restricted : 0.51, dataset : 0.51, diversity : 0.66, insufficient : 0.47, testing : 0.35, under : 0.55, real : 0.46, world : 0.44, conditions : 0.45, recommendations : 0.46, emphasize : 0.49, need : 0.46, larger : 0.53, more : 0.46, diverse : 0.61, datasets : 0.5, integration : 0.59, additional : 0.45, media : 0.38, spectral : 0.5, data : 0, video : 0.81, enhance : 0.42, model : 0.44, robustness : 0.48 |
| 31. width | 130 words | 0.79 | systematic : 0.43, literature : 0.53, review : 0.46, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0.43, neural : 0, networks : 0.38, for : 0, rambutan : 0.44, fruit : 0.47, classification : 0.42, advances : 0.44, challenges : 0.43, and : 0.51, future : 0.46, directions : 0.52, nephelium : 0.44, lappaceum : 0, l : 0, is : 0.57, a : 0, tropical : 0.38, widely : 0.79, cultivated : 0.37, in : 0.57, southeast : 0.54, asia : 0.48, including : 0.54, indonesia : 0.54, manual : 0, types : 0, ripeness : 0.44, levels : 0, remains : 0, challenge : 0.44, due : 0, to : 0, high : 0.63, subjectivity : 0.43, time : 0.48, intensive : 0.54, nature : 0.46, process : 0, particularly : 0.36, large : 0, scale : 0, agricultural : 0.52, operations : 0.43, network : 0.45, cnn : 0, deep : 0, learning : 0, approach : 0.44, offers : 0, significant : 0.43, potential : 0.44, automating : 0.43, improving : 0.44, accuracy : 0, tasks : 0, by : 0, extracting : 0.43, complex : 0, visual : 0.46, features : 0.44, such : 0.48, as : 0, color : 0, texture : 0.45, this : 0.48, study : 0.47, employs : 0, slr : 0, evaluate : 0.44, relevant : 0, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0.56, analyzed : 0, identify : 0.66, trends : 0.46, utilizing : 0.37, purpose : 0, results : 0.45, demonstrate : 0.53, that : 0.48, achieves : 0.38, superior : 0, 90 : 0, compared : 0, traditional : 0.51, methods : 0.56, like : 0.48, k : 0, nearest : 0, neighbor : 0.55, knn : 0, however : 0.45, limitations : 0.53, include : 0.45, restricted : 0.37, dataset : 0.56, diversity : 0.37, insufficient : 0.43, testing : 0.45, under : 0.47, real : 0, world : 0.52, conditions : 0.52, recommendations : 0.42, emphasize : 0.44, need : 0.48, larger : 0, more : 0, diverse : 0.4, datasets : 0.55, integration : 0.53, additional : 0.52, media : 0.47, spectral : 0.44, data : 0.48, video : 0.6, enhance : 0.45, model : 0.47, robustness : 0.43 |
| 32. device | 130 words | 0.8 | systematic : 0.42, literature : 0.49, review : 0.78, on : 0, the : 0.5, application : 0.51, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.43, for : 0, rambutan : 0, fruit : 0.46, classification : 0.33, advances : 0.72, challenges : 0.49, and : 0.5, future : 0.44, directions : 0.65, nephelium : 0.5, lappaceum : 0.52, l : 0, is : 0, a : 0, tropical : 0.53, widely : 0.5, cultivated : 0.61, in : 0, southeast : 0.43, asia : 0.47, including : 0.52, indonesia : 0.5, manual : 0, types : 0.46, ripeness : 0.51, levels : 0.67, remains : 0.54, challenge : 0.43, due : 0.7, to : 0, high : 0.47, subjectivity : 0.47, time : 0.44, intensive : 0.5, nature : 0.44, process : 0.54, particularly : 0.5, large : 0.46, scale : 0.46, agricultural : 0.5, operations : 0.51, network : 0.44, cnn : 0, deep : 0.69, learning : 0.53, approach : 0.43, offers : 0.44, significant : 0.51, potential : 0.52, automating : 0.42, improving : 0.35, accuracy : 0.43, tasks : 0, by : 0, extracting : 0.49, complex : 0.44, visual : 0.56, features : 0.53, such : 0.47, as : 0, color : 0, texture : 0.54, this : 0.47, study : 0, employs : 0.44, slr : 0, evaluate : 0.63, relevant : 0.51, research : 0.51, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0.46, trends : 0.44, utilizing : 0.43, purpose : 0.44, results : 0.44, demonstrate : 0.6, that : 0, achieves : 0.69, superior : 0.53, 90 : 0, compared : 0.43, traditional : 0.51, methods : 0.44, like : 0.44, k : 0, nearest : 0.54, neighbor : 0.53, knn : 0, however : 0.64, limitations : 0.42, include : 0.54, restricted : 0.69, dataset : 0.59, diversity : 0.66, insufficient : 0.58, testing : 0.54, under : 0.58, real : 0.47, world : 0, conditions : 0.43, recommendations : 0.57, emphasize : 0.61, need : 0.47, larger : 0.44, more : 0.47, diverse : 0.8, datasets : 0.58, integration : 0.34, additional : 0.51, media : 0.59, spectral : 0.53, data : 0.52, video : 0.66, enhance : 0.64, model : 0.58, robustness : 0.42 |
| 33. initial | 130 words | 0.81 | systematic : 0.47, literature : 0.58, review : 0.44, on : 0.55, the : 0, application : 0.56, of : 0, convolutional : 0.5, neural : 0.64, networks : 0.51, for : 0, rambutan : 0.51, fruit : 0.56, classification : 0.45, advances : 0.35, challenges : 0.5, and : 0.49, future : 0.44, directions : 0.47, nephelium : 0.48, lappaceum : 0.42, l : 0, is : 0.59, a : 0, tropical : 0.61, widely : 0.54, cultivated : 0.53, in : 0.81, southeast : 0.5, asia : 0.6, including : 0.67, indonesia : 0.74, manual : 0.64, types : 0, ripeness : 0.51, levels : 0.44, remains : 0.36, challenge : 0.5, due : 0, to : 0, high : 0.46, subjectivity : 0.45, time : 0.46, intensive : 0.74, nature : 0.54, process : 0, particularly : 0.55, large : 0, scale : 0, agricultural : 0.47, operations : 0.47, network : 0.52, cnn : 0.49, deep : 0, learning : 0.43, approach : 0.42, offers : 0, significant : 0.72, potential : 0.69, automating : 0.47, improving : 0.55, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.47, complex : 0.43, visual : 0.64, features : 0.35, such : 0, as : 0, color : 0, texture : 0.43, this : 0.46, study : 0.45, employs : 0, slr : 0, evaluate : 0.43, relevant : 0.42, research : 0.42, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.6, identify : 0.65, trends : 0.44, utilizing : 0.66, purpose : 0, results : 0.36, demonstrate : 0.57, that : 0.46, achieves : 0.42, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.59, methods : 0.43, like : 0.46, k : 0, nearest : 0.43, neighbor : 0.35, knn : 0.49, however : 0, limitations : 0.66, include : 0.62, restricted : 0.33, dataset : 0.52, diversity : 0.5, insufficient : 0.71, testing : 0.36, under : 0.45, real : 0, world : 0, conditions : 0.49, recommendations : 0.47, emphasize : 0.34, need : 0.46, larger : 0, more : 0, diverse : 0.43, datasets : 0.51, integration : 0.73, additional : 0.67, media : 0.56, spectral : 0.6, data : 0.6, video : 0.45, enhance : 0.52, model : 0.45, robustness : 0.41 |
| 34. scale | 130 words | 1 | systematic : 0.57, literature : 0.47, review : 0.46, on : 0, the : 0, application : 0.46, of : 0, convolutional : 0.52, neural : 0.58, networks : 0.44, for : 0, rambutan : 0.44, fruit : 0, classification : 0.57, advances : 0.55, challenges : 0.73, and : 0, future : 0.46, directions : 0.37, nephelium : 0.37, lappaceum : 0.53, l : 0, is : 0.57, a : 0, tropical : 0, widely : 0.41, cultivated : 0.65, in : 0, southeast : 0.59, asia : 0.63, including : 0.54, indonesia : 0.44, manual : 0.58, types : 0.47, ripeness : 0.44, levels : 0.41, remains : 0.45, challenge : 0.75, due : 0, to : 0, high : 0, subjectivity : 0.55, time : 0.48, intensive : 0.44, nature : 0.58, process : 0.56, particularly : 0.51, large : 0.6, scale : 1, agricultural : 0.51, operations : 0.37, network : 0, cnn : 0.51, deep : 0, learning : 0.49, approach : 0.44, offers : 0.46, significant : 0.49, potential : 0.44, automating : 0.43, improving : 0, accuracy : 0.38, tasks : 0.47, by : 0, extracting : 0.52, complex : 0.68, visual : 0.7, features : 0.38, such : 0.67, as : 0.57, color : 0.6, texture : 0.45, this : 0, study : 0.52, employs : 0.45, slr : 0.56, evaluate : 0.66, relevant : 0.55, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.66, identify : 0.44, trends : 0.46, utilizing : 0.44, purpose : 0.45, results : 0.56, demonstrate : 0.43, that : 0.48, achieves : 0.55, superior : 0.6, 90 : 0, compared : 0.66, traditional : 0.43, methods : 0, like : 0.48, k : 0, nearest : 0.56, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.36, include : 0.68, restricted : 0.37, dataset : 0.56, diversity : 0.44, insufficient : 0.52, testing : 0.45, under : 0.47, real : 0.63, world : 0.47, conditions : 0.43, recommendations : 0.34, emphasize : 0.44, need : 0, larger : 0.58, more : 0.48, diverse : 0.45, datasets : 0.55, integration : 0.36, additional : 0.43, media : 0, spectral : 0.59, data : 0.48, video : 0.47, enhance : 0.56, model : 0.43, robustness : 0.53 |
| 35. 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 |
| 36. shrink | 130 words | 0.7 | systematic : 0.48, literature : 0.34, review : 0.56, on : 0, the : 0.5, application : 0.42, of : 0, convolutional : 0.33, neural : 0.44, networks : 0.53, for : 0.5, rambutan : 0.53, fruit : 0.58, classification : 0.49, advances : 0.43, challenges : 0.51, and : 0, future : 0.44, directions : 0.49, nephelium : 0.52, lappaceum : 0, l : 0, is : 0.56, a : 0, tropical : 0.53, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.57, asia : 0.61, including : 0.52, indonesia : 0.52, manual : 0.44, types : 0, ripeness : 0.63, levels : 0, remains : 0.64, challenge : 0.52, due : 0, to : 0, high : 0.61, subjectivity : 0.55, time : 0.47, intensive : 0.52, nature : 0.44, process : 0.44, particularly : 0.5, large : 0.46, scale : 0.51, agricultural : 0.5, operations : 0.6, network : 0.44, cnn : 0.5, deep : 0, learning : 0.51, approach : 0.43, offers : 0.44, significant : 0.63, potential : 0.35, automating : 0.51, improving : 0.5, accuracy : 0.43, tasks : 0.58, by : 0, extracting : 0.6, complex : 0, visual : 0.39, features : 0.43, such : 0.65, as : 0.56, color : 0.46, texture : 0, this : 0.61, study : 0.51, employs : 0, slr : 0.7, evaluate : 0, relevant : 0.53, research : 0.36, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.43, identify : 0.53, trends : 0.56, utilizing : 0.52, purpose : 0.44, results : 0.37, demonstrate : 0.42, that : 0.47, achieves : 0.53, superior : 0.66, 90 : 0, compared : 0.43, traditional : 0.59, methods : 0.44, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.36, knn : 0.5, however : 0.44, limitations : 0.42, include : 0, restricted : 0.49, dataset : 0, diversity : 0.35, insufficient : 0.42, testing : 0.64, under : 0.46, real : 0.47, world : 0.46, conditions : 0.34, recommendations : 0.49, emphasize : 0.52, need : 0, larger : 0.44, more : 0.47, diverse : 0.37, datasets : 0, integration : 0.42, additional : 0.51, media : 0.46, spectral : 0.58, data : 0, video : 0.46, enhance : 0.54, model : 0, robustness : 0.49 |
| 37. to | 130 words | 1 | systematic : 0.53, literature : 0.53, review : 0, on : 0, the : 0.65, application : 0, of : 0, convolutional : 0.53, neural : 0, networks : 0.75, for : 0.61, rambutan : 0, fruit : 0, classification : 0, advances : 0, challenges : 0, and : 0, future : 0.56, directions : 0, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.78, widely : 0, cultivated : 0.53, in : 0, southeast : 0.57, asia : 0, including : 0, indonesia : 0.54, manual : 0, types : 0.61, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 1, high : 0, subjectivity : 0, time : 0.63, intensive : 0.54, nature : 0.56, process : 0.55, particularly : 0.53, large : 0, scale : 0, agricultural : 0, operations : 0.53, network : 0.55, cnn : 0, deep : 0, learning : 0, approach : 0.54, offers : 0.56, significant : 0, potential : 0.57, automating : 0.73, improving : 0.54, accuracy : 0, tasks : 0.61, by : 0, extracting : 0.53, complex : 0.55, visual : 0, features : 0.54, such : 0, as : 0, color : 0.57, texture : 0.59, this : 0.63, study : 0.57, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0.58, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0, trends : 0.6, utilizing : 0.54, purpose : 0, results : 0, demonstrate : 0.53, that : 0.63, achieves : 0, superior : 0, 90 : 0, compared : 0.54, traditional : 0.58, methods : 0.55, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0.55, limitations : 0.53, include : 0, restricted : 0.53, dataset : 0.55, diversity : 0, insufficient : 0, testing : 0.59, under : 0, real : 0, world : 0.57, conditions : 0.53, recommendations : 0.52, emphasize : 0, need : 0, larger : 0, more : 0.58, diverse : 0, datasets : 0.54, integration : 0.53, additional : 0.53, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0.57, robustness : 0.53 |
| 38. fit | 130 words | 0.7 | systematic : 0.48, literature : 0.62, review : 0.5, on : 0, the : 0, application : 0.47, of : 0, convolutional : 0.47, neural : 0, networks : 0.49, for : 0.6, rambutan : 0.49, fruit : 0.56, classification : 0.44, advances : 0, challenges : 0, and : 0, future : 0.7, directions : 0.62, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.47, widely : 0.5, cultivated : 0.46, in : 0, southeast : 0.48, asia : 0.53, including : 0.48, indonesia : 0.48, manual : 0, types : 0, ripeness : 0.49, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0.53, subjectivity : 0.47, time : 0.53, intensive : 0.63, nature : 0.5, process : 0, particularly : 0.44, large : 0, scale : 0, agricultural : 0.61, operations : 0.48, network : 0.49, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0.5, significant : 0.47, potential : 0.48, automating : 0.48, improving : 0.48, accuracy : 0, tasks : 0, by : 0, extracting : 0.48, complex : 0, visual : 0.5, features : 0.67, such : 0, as : 0, color : 0, texture : 0.49, this : 0.53, study : 0.51, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0.58, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.64, trends : 0.5, utilizing : 0.46, purpose : 0, results : 0, demonstrate : 0.47, that : 0.53, achieves : 0.49, superior : 0, 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 : 0.49, restricted : 0.46, dataset : 0.49, diversity : 0.48, insufficient : 0.44, 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 : 0.62, additional : 0.62, media : 0, spectral : 0.49, data : 0.53, video : 0.51, enhance : 0, model : 0, robustness : 0.48 |
| 39. title | 130 words | 0.83 | systematic : 0.53, literature : 0.73, review : 0.58, on : 0, the : 0.56, application : 0.36, of : 0, convolutional : 0.35, neural : 0.46, networks : 0.38, for : 0, rambutan : 0.44, fruit : 0, classification : 0.35, advances : 0.44, challenges : 0.53, and : 0, future : 0.58, directions : 0.52, nephelium : 0.37, lappaceum : 0.54, l : 0, is : 0.57, a : 0, tropical : 0.6, widely : 0.59, cultivated : 0.61, in : 0.57, southeast : 0.54, asia : 0.48, including : 0.54, indonesia : 0.54, manual : 0.46, types : 0.64, ripeness : 0.55, levels : 0.41, remains : 0, challenge : 0.54, due : 0, to : 0.61, high : 0.48, subjectivity : 0.36, time : 0.83, intensive : 0.53, nature : 0.58, process : 0.45, particularly : 0.62, large : 0.47, scale : 0.6, agricultural : 0.51, operations : 0.37, network : 0.45, cnn : 0, deep : 0, learning : 0.55, approach : 0, offers : 0.46, significant : 0.43, potential : 0.53, automating : 0.53, improving : 0.44, accuracy : 0, tasks : 0.52, by : 0, extracting : 0.52, complex : 0.56, visual : 0.58, features : 0.38, such : 0, as : 0, color : 0.47, texture : 0.71, this : 0.67, study : 0.47, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.38, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.55, identify : 0.55, trends : 0.62, utilizing : 0.64, purpose : 0.45, results : 0.45, demonstrate : 0.36, that : 0.67, achieves : 0.55, superior : 0.44, 90 : 0, compared : 0.44, traditional : 0.66, methods : 0.45, like : 0.63, k : 0, nearest : 0.45, neighbor : 0.38, knn : 0, however : 0.45, limitations : 0.64, include : 0.68, restricted : 0.47, dataset : 0.56, diversity : 0.54, insufficient : 0.52, testing : 0.61, under : 0.47, real : 0.48, world : 0.47, conditions : 0.53, recommendations : 0.42, emphasize : 0, need : 0, larger : 0.46, more : 0.48, diverse : 0.56, datasets : 0.55, integration : 0.51, additional : 0.37, media : 0, spectral : 0.38, data : 0.48, video : 0.6, enhance : 0.45, model : 0.43, robustness : 0.53 |
| 40. home | 130 words | 0.78 | systematic : 0.4, literature : 0.45, review : 0.47, on : 0.58, the : 0.72, application : 0, of : 0.58, convolutional : 0.44, neural : 0.47, networks : 0.42, for : 0.53, rambutan : 0.46, fruit : 0, classification : 0, advances : 0.46, challenges : 0.57, and : 0, future : 0.47, directions : 0.45, nephelium : 0.41, lappaceum : 0.45, l : 0, is : 0, a : 0, tropical : 0.46, widely : 0.47, cultivated : 0, in : 0, southeast : 0.57, asia : 0, including : 0, indonesia : 0.57, manual : 0.47, types : 0.48, ripeness : 0.46, levels : 0.47, remains : 0.43, challenge : 0.57, due : 0.53, to : 0.58, high : 0.55, subjectivity : 0.44, time : 0.67, intensive : 0.45, nature : 0.47, process : 0.6, particularly : 0, large : 0.48, scale : 0.48, agricultural : 0, operations : 0.57, network : 0.46, cnn : 0, deep : 0.5, learning : 0.46, approach : 0.46, offers : 0.61, significant : 0, potential : 0.57, automating : 0.57, improving : 0.41, accuracy : 0, tasks : 0, by : 0, extracting : 0.45, complex : 0.73, visual : 0, features : 0.46, such : 0, as : 0, color : 0.48, texture : 0.46, this : 0.5, study : 0, employs : 0.46, slr : 0, evaluate : 0.46, relevant : 0.46, research : 0.46, from : 0.67, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.46, identify : 0.46, trends : 0.47, utilizing : 0, purpose : 0, results : 0.46, demonstrate : 0.56, that : 0.5, achieves : 0.58, superior : 0.46, 90 : 0, compared : 0.71, traditional : 0, methods : 0.6, like : 0.5, k : 0, nearest : 0.46, neighbor : 0.46, knn : 0, however : 0.78, limitations : 0.45, include : 0, restricted : 0.45, dataset : 0.46, diversity : 0.45, insufficient : 0, testing : 0.46, under : 0.48, real : 0, world : 0.48, conditions : 0.45, recommendations : 0.48, emphasize : 0.58, need : 0.5, larger : 0.47, more : 0.67, diverse : 0.46, datasets : 0.46, integration : 0.45, additional : 0, media : 0, spectral : 0.46, data : 0, video : 0.48, enhance : 0.46, model : 0.63, robustness : 0.57 |
| 41. identitas | 130 words | 0.88 | systematic : 0.55, literature : 0.55, review : 0.35, on : 0.54, the : 0.48, application : 0.48, of : 0, convolutional : 0.58, neural : 0.5, networks : 0.56, for : 0, rambutan : 0.49, fruit : 0.54, classification : 0.5, advances : 0.57, challenges : 0.54, and : 0.46, future : 0.35, directions : 0.7, nephelium : 0.44, lappaceum : 0.41, l : 0, is : 0.58, a : 0, tropical : 0.49, widely : 0.61, cultivated : 0.45, in : 0.77, southeast : 0.54, asia : 0.45, including : 0.6, indonesia : 0.74, manual : 0.52, types : 0.44, ripeness : 0.65, levels : 0.52, remains : 0.59, challenge : 0.48, due : 0.63, to : 0, high : 0.45, subjectivity : 0.59, time : 0.57, intensive : 0.67, nature : 0.44, process : 0.5, particularly : 0.42, large : 0.44, scale : 0.44, agricultural : 0.53, operations : 0.59, network : 0.48, cnn : 0.48, deep : 0.57, learning : 0.57, approach : 0.41, offers : 0.52, significant : 0.6, potential : 0.64, automating : 0.53, improving : 0.53, accuracy : 0.41, tasks : 0, by : 0, extracting : 0.62, complex : 0.42, visual : 0.52, features : 0.57, such : 0, as : 0, color : 0, texture : 0.5, this : 0.45, study : 0.37, employs : 0.5, slr : 0, evaluate : 0.46, relevant : 0.52, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.41, identify : 0.88, trends : 0.58, utilizing : 0.44, purpose : 0.42, results : 0.59, demonstrate : 0.76, that : 0.45, achieves : 0.57, superior : 0.49, 90 : 0, compared : 0.41, traditional : 0.63, methods : 0.59, like : 0.57, k : 0, nearest : 0.51, neighbor : 0.46, knn : 0.48, however : 0.42, limitations : 0.63, include : 0.55, restricted : 0.61, dataset : 0.59, diversity : 0.67, insufficient : 0.63, testing : 0.55, under : 0.48, real : 0.45, world : 0.44, conditions : 0.7, recommendations : 0.61, emphasize : 0.5, need : 0.58, larger : 0.43, more : 0.45, diverse : 0.59, datasets : 0.66, integration : 0.72, additional : 0.62, media : 0.66, spectral : 0.57, data : 0.57, video : 0.64, enhance : 0.5, model : 0.54, robustness : 0.43 |
| 42. judul | 130 words | 0.6 | systematic : 0, literature : 0.37, review : 0, on : 0, the : 0, application : 0.43, of : 0, convolutional : 0.35, neural : 0.58, networks : 0, for : 0, rambutan : 0.44, fruit : 0.47, classification : 0.42, advances : 0.44, challenges : 0.43, and : 0.51, future : 0.58, directions : 0.43, nephelium : 0.44, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.44, widely : 0.58, cultivated : 0.53, in : 0, southeast : 0.44, asia : 0, including : 0.48, indonesia : 0.44, manual : 0.58, types : 0, ripeness : 0, levels : 0.46, remains : 0, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.36, time : 0, intensive : 0, nature : 0.46, process : 0, particularly : 0.52, large : 0, scale : 0.47, agricultural : 0.51, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0, potential : 0, automating : 0.43, improving : 0, accuracy : 0.44, tasks : 0, by : 0, extracting : 0, complex : 0.45, visual : 0.58, features : 0.44, such : 0.48, as : 0, color : 0, texture : 0.45, this : 0, study : 0.6, employs : 0.45, slr : 0, evaluate : 0.38, relevant : 0.44, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.44, trends : 0.46, utilizing : 0.54, purpose : 0.45, results : 0.56, demonstrate : 0.43, that : 0, achieves : 0, superior : 0.44, 90 : 0, compared : 0, traditional : 0.43, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0.43, include : 0.4, restricted : 0, dataset : 0.45, diversity : 0.44, insufficient : 0.43, testing : 0, under : 0.6, real : 0.48, world : 0.47, conditions : 0.43, recommendations : 0.42, emphasize : 0, need : 0.48, larger : 0, more : 0, diverse : 0.45, datasets : 0.44, integration : 0, additional : 0.43, media : 0.47, spectral : 0.44, data : 0, video : 0.47, enhance : 0, model : 0.6, robustness : 0.43 |
| 43. description | 130 words | 0.85 | systematic : 0.42, literature : 0.46, review : 0.48, on : 0, the : 0.47, application : 0.71, of : 0, convolutional : 0.55, neural : 0.51, networks : 0.48, for : 0.47, rambutan : 0.55, fruit : 0.62, classification : 0.62, advances : 0.48, challenges : 0.41, and : 0.47, future : 0.34, directions : 0.85, nephelium : 0.42, lappaceum : 0.3, l : 0, is : 0.53, a : 0, tropical : 0.5, widely : 0.42, cultivated : 0.41, in : 0, southeast : 0.37, asia : 0.56, including : 0.54, indonesia : 0.6, manual : 0, types : 0.46, ripeness : 0.53, levels : 0.51, remains : 0.48, challenge : 0.42, due : 0.65, to : 0, high : 0.45, subjectivity : 0.57, time : 0.39, intensive : 0.54, nature : 0.34, process : 0.48, particularly : 0.44, large : 0.36, scale : 0.46, agricultural : 0.44, operations : 0.66, network : 0.49, cnn : 0.47, deep : 0.74, learning : 0.62, approach : 0.44, offers : 0.48, significant : 0.59, potential : 0.42, automating : 0.41, improving : 0.48, accuracy : 0.48, tasks : 0.43, by : 0, extracting : 0.6, complex : 0.4, visual : 0.34, features : 0.44, such : 0.56, as : 0.53, color : 0.53, texture : 0.46, this : 0.39, study : 0.36, employs : 0.46, slr : 0.62, evaluate : 0.48, relevant : 0.45, research : 0.45, from : 0.45, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0, identify : 0.54, trends : 0.55, utilizing : 0.54, purpose : 0.4, results : 0.52, demonstrate : 0.66, that : 0.45, achieves : 0.38, superior : 0.63, 90 : 0, compared : 0.44, traditional : 0.71, methods : 0.49, like : 0.39, k : 0, nearest : 0.56, neighbor : 0.5, knn : 0, however : 0.49, limitations : 0.64, include : 0.41, restricted : 0.58, dataset : 0.61, diversity : 0.72, insufficient : 0.54, testing : 0.56, under : 0.62, real : 0.39, world : 0.36, conditions : 0.73, recommendations : 0.53, emphasize : 0.48, need : 0.39, larger : 0.34, more : 0.39, diverse : 0.66, datasets : 0.58, integration : 0.64, additional : 0.72, media : 0.51, spectral : 0.56, data : 0.5, video : 0.46, enhance : 0.49, model : 0.53, robustness : 0.5 |
| 44. author | 130 words | 0.78 | systematic : 0.42, literature : 0.51, review : 0, on : 0, the : 0.67, application : 0.48, of : 0, convolutional : 0.41, neural : 0.56, networks : 0.63, for : 0, rambutan : 0.63, fruit : 0.58, classification : 0.41, advances : 0.49, challenges : 0.34, and : 0.55, future : 0.67, directions : 0.43, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0, a : 0.75, tropical : 0.53, widely : 0, cultivated : 0.51, in : 0, southeast : 0.54, asia : 0.52, including : 0.43, indonesia : 0.43, manual : 0.56, types : 0.46, ripeness : 0, levels : 0, remains : 0, challenge : 0.35, due : 0.5, to : 0.56, high : 0.47, subjectivity : 0.5, time : 0.47, intensive : 0.43, nature : 0.69, process : 0.44, particularly : 0.58, large : 0.46, scale : 0.46, agricultural : 0.59, operations : 0.52, network : 0.64, cnn : 0, deep : 0, learning : 0.53, approach : 0.56, offers : 0.44, significant : 0, potential : 0.35, automating : 0.78, improving : 0.35, accuracy : 0.66, tasks : 0.41, by : 0, extracting : 0.43, complex : 0, visual : 0.44, features : 0.64, such : 0.61, as : 0.6, color : 0.58, texture : 0.54, this : 0.61, study : 0.41, employs : 0.44, slr : 0, evaluate : 0.53, relevant : 0, research : 0.43, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.49, identify : 0.43, trends : 0.44, utilizing : 0.52, purpose : 0.54, results : 0.44, demonstrate : 0.48, that : 0.58, achieves : 0.58, superior : 0.51, 90 : 0, compared : 0.53, traditional : 0.51, methods : 0.64, like : 0, k : 0, nearest : 0.54, neighbor : 0.63, knn : 0, however : 0.44, limitations : 0.51, include : 0, restricted : 0.51, dataset : 0.54, diversity : 0.43, insufficient : 0.42, testing : 0.44, under : 0.58, real : 0.47, world : 0, conditions : 0.34, recommendations : 0.32, emphasize : 0.43, need : 0, larger : 0.56, more : 0, diverse : 0.44, datasets : 0.53, integration : 0.51, additional : 0.64, media : 0, spectral : 0.53, data : 0.61, video : 0.46, enhance : 0.44, model : 0, robustness : 0.43 |
| 45. firman | 130 words | 0.78 | systematic : 0.51, literature : 0.6, review : 0.39, on : 0, the : 0, application : 0.34, of : 0.56, convolutional : 0.41, neural : 0.56, networks : 0.43, for : 0.7, rambutan : 0.64, fruit : 0.63, classification : 0.46, advances : 0.53, challenges : 0.51, and : 0, future : 0.6, directions : 0.6, nephelium : 0, lappaceum : 0.43, l : 0, is : 0.56, a : 0, tropical : 0.51, widely : 0.44, cultivated : 0.51, in : 0.56, southeast : 0.43, asia : 0.61, including : 0.52, indonesia : 0.52, manual : 0.44, types : 0, ripeness : 0.51, levels : 0, remains : 0.75, challenge : 0.52, due : 0, to : 0, high : 0.47, subjectivity : 0, time : 0.61, intensive : 0.52, nature : 0.44, process : 0.44, particularly : 0.47, large : 0.46, scale : 0.46, agricultural : 0.47, operations : 0.6, network : 0, cnn : 0, deep : 0, learning : 0.51, approach : 0.53, offers : 0.56, significant : 0.48, potential : 0.35, automating : 0.49, improving : 0.62, accuracy : 0.53, tasks : 0, by : 0, extracting : 0.6, complex : 0.44, visual : 0.56, features : 0.56, such : 0, as : 0, color : 0.46, texture : 0, this : 0.47, study : 0, employs : 0.44, slr : 0.5, evaluate : 0.43, relevant : 0.63, research : 0.53, from : 0.78, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0.53, trends : 0.56, utilizing : 0.52, purpose : 0.44, results : 0.44, demonstrate : 0.48, that : 0.47, achieves : 0.43, superior : 0.43, 90 : 0, compared : 0.46, traditional : 0.55, methods : 0, like : 0.47, k : 0, nearest : 0.37, neighbor : 0.43, knn : 0, however : 0, limitations : 0.68, include : 0.44, restricted : 0.34, dataset : 0.44, diversity : 0.52, insufficient : 0.42, testing : 0.44, under : 0.46, real : 0.61, world : 0.46, conditions : 0.34, recommendations : 0.56, emphasize : 0.52, need : 0, larger : 0.44, more : 0.47, diverse : 0.54, datasets : 0.43, integration : 0.55, additional : 0.49, media : 0.58, spectral : 0.53, data : 0.47, video : 0.46, enhance : 0.54, model : 0, robustness : 0.51 |
| 46. santosa | 130 words | 0.71 | systematic : 0.62, literature : 0.33, review : 0, on : 0.55, the : 0, application : 0.46, of : 0, convolutional : 0.5, neural : 0.54, networks : 0.69, for : 0, rambutan : 0.6, fruit : 0.45, classification : 0.54, advances : 0.57, challenges : 0.58, and : 0.65, future : 0.44, directions : 0.58, nephelium : 0.42, lappaceum : 0.5, l : 0, is : 0.55, a : 0.71, tropical : 0.6, widely : 0, cultivated : 0.5, in : 0.55, southeast : 0.66, asia : 0.43, including : 0.42, indonesia : 0.67, manual : 0.64, types : 0.45, ripeness : 0.51, levels : 0.44, remains : 0.52, challenge : 0.42, due : 0, to : 0, high : 0, subjectivity : 0.54, time : 0, intensive : 0.59, nature : 0.53, process : 0.52, particularly : 0.56, large : 0.45, scale : 0.61, agricultural : 0.56, operations : 0.53, network : 0.62, cnn : 0.49, deep : 0, learning : 0.51, approach : 0.6, offers : 0.44, significant : 0.61, potential : 0.59, automating : 0.66, improving : 0.42, accuracy : 0.51, tasks : 0.57, by : 0, extracting : 0.33, complex : 0, visual : 0.54, features : 0.6, such : 0.52, as : 0.6, color : 0.45, texture : 0.43, this : 0.46, study : 0.61, employs : 0.52, slr : 0.54, evaluate : 0.49, relevant : 0.42, research : 0.51, from : 0.46, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.51, identify : 0.51, trends : 0.54, utilizing : 0.42, purpose : 0.52, results : 0.62, demonstrate : 0.59, that : 0.6, achieves : 0.51, superior : 0.56, 90 : 0, compared : 0.35, traditional : 0.56, methods : 0.62, like : 0, k : 0, nearest : 0.51, neighbor : 0.51, knn : 0.49, however : 0, limitations : 0.46, include : 0.43, restricted : 0.5, dataset : 0.62, diversity : 0.42, insufficient : 0.32, testing : 0.52, under : 0.45, real : 0.46, world : 0, conditions : 0.53, recommendations : 0.43, emphasize : 0.5, need : 0.46, larger : 0.44, more : 0, diverse : 0.43, datasets : 0.61, integration : 0.57, additional : 0.66, media : 0.45, spectral : 0.64, data : 0.6, video : 0.45, enhance : 0.36, model : 0, robustness : 0.64 |
| 47. link | 130 words | 0.87 | systematic : 0, literature : 0.65, review : 0.47, on : 0.58, the : 0, application : 0.56, of : 0, convolutional : 0.38, neural : 0.47, networks : 0.58, for : 0, rambutan : 0, fruit : 0, classification : 0.55, advances : 0.46, challenges : 0.57, and : 0.53, future : 0, directions : 0.45, nephelium : 0.45, lappaceum : 0.51, l : 0.78, is : 0.58, a : 0, tropical : 0.46, widely : 0.47, cultivated : 0.57, in : 0.83, southeast : 0, asia : 0.5, including : 0.53, indonesia : 0.57, manual : 0.47, types : 0, ripeness : 0.58, levels : 0.52, remains : 0, challenge : 0.45, due : 0, to : 0, high : 0.5, subjectivity : 0, time : 0.5, intensive : 0.57, nature : 0.47, process : 0, particularly : 0.44, large : 0.54, scale : 0, agricultural : 0.44, operations : 0, network : 0.46, cnn : 0.53, deep : 0, learning : 0.63, approach : 0, offers : 0, significant : 0.56, potential : 0.45, automating : 0, improving : 0.45, accuracy : 0, tasks : 0.48, by : 0, extracting : 0, complex : 0, visual : 0.47, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0.5, study : 0, employs : 0, slr : 0.53, evaluate : 0.46, relevant : 0.46, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.58, trends : 0.47, utilizing : 0.41, purpose : 0, results : 0, demonstrate : 0.45, that : 0, achieves : 0.46, superior : 0, 90 : 0, compared : 0, traditional : 0.45, methods : 0, like : 0.87, k : 0, nearest : 0.46, neighbor : 0.42, knn : 0.53, however : 0, limitations : 0.65, include : 0.6, restricted : 0.45, dataset : 0, diversity : 0.45, insufficient : 0.56, testing : 0, under : 0.48, real : 0, world : 0, conditions : 0.4, recommendations : 0.44, emphasize : 0, need : 0, larger : 0.52, more : 0, diverse : 0.46, datasets : 0, integration : 0.56, additional : 0.45, media : 0, spectral : 0, data : 0, video : 0.48, enhance : 0.46, model : 0, robustness : 0.45 |
| 48. rel | 130 words | 0.93 | systematic : 0.48, literature : 0.66, review : 0.73, on : 0, the : 0, application : 0.47, of : 0, convolutional : 0.47, neural : 0.5, networks : 0.49, for : 0, rambutan : 0.54, fruit : 0.51, classification : 0.47, advances : 0, challenges : 0.46, and : 0, future : 0, directions : 0.62, nephelium : 0.63, lappaceum : 0.48, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0.67, cultivated : 0.48, in : 0, southeast : 0, asia : 0, including : 0.48, indonesia : 0, manual : 0, types : 0, ripeness : 0.67, levels : 0.5, remains : 0.72, challenge : 0.48, due : 0, to : 0, high : 0, subjectivity : 0.47, time : 0, intensive : 0.48, nature : 0, process : 0.49, particularly : 0.61, large : 0, scale : 0.51, agricultural : 0.61, operations : 0.46, network : 0.49, cnn : 0, deep : 0.53, learning : 0.68, approach : 0.49, offers : 0.5, significant : 0, potential : 0.48, automating : 0, improving : 0.48, accuracy : 0, tasks : 0, by : 0, extracting : 0.46, complex : 0.49, visual : 0, features : 0.49, such : 0, as : 0, color : 0.51, texture : 0.49, this : 0, study : 0, employs : 0.65, slr : 0, evaluate : 0.64, relevant : 0.85, research : 0.71, from : 0.53, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.49, trends : 0.67, utilizing : 0.48, purpose : 0.49, results : 0.85, demonstrate : 0.47, that : 0, achieves : 0.49, superior : 0.49, 90 : 0, compared : 0, traditional : 0.47, methods : 0.49, like : 0, k : 0, nearest : 0.49, neighbor : 0.49, knn : 0, however : 0.49, limitations : 0.47, include : 0.49, restricted : 0.7, dataset : 0, diversity : 0.48, insufficient : 0, testing : 0.49, under : 0, real : 0.93, world : 0.51, conditions : 0, recommendations : 0.68, emphasize : 0.48, need : 0.53, larger : 0.5, more : 0, diverse : 0.49, datasets : 0, integration : 0.47, additional : 0, media : 0.51, spectral : 0.49, data : 0, video : 0, enhance : 0.49, model : 0, robustness : 0.53 |
| 49. shortcut | 130 words | 0.68 | systematic : 0.6, literature : 0.47, review : 0.43, on : 0.54, the : 0.49, application : 0.31, of : 0.54, convolutional : 0.44, neural : 0.43, networks : 0.42, for : 0.64, rambutan : 0.47, fruit : 0.55, classification : 0.36, advances : 0.42, challenges : 0.41, and : 0, future : 0.46, directions : 0.45, nephelium : 0.49, lappaceum : 0.49, l : 0, is : 0.54, a : 0, tropical : 0.47, widely : 0, cultivated : 0.48, in : 0, southeast : 0.66, asia : 0.46, including : 0.49, indonesia : 0.41, manual : 0.43, types : 0, ripeness : 0.42, levels : 0, remains : 0.42, challenge : 0.41, due : 0, to : 0.54, high : 0.46, subjectivity : 0.65, time : 0, intensive : 0.41, nature : 0.46, process : 0.49, particularly : 0.61, large : 0.44, scale : 0.5, agricultural : 0.49, operations : 0.56, network : 0.43, cnn : 0, deep : 0, learning : 0.42, approach : 0.47, offers : 0.53, significant : 0.59, potential : 0.57, automating : 0.45, improving : 0.32, accuracy : 0.42, tasks : 0.44, by : 0, extracting : 0.55, complex : 0.42, visual : 0.53, features : 0.42, such : 0.64, as : 0.54, color : 0.55, texture : 0.43, this : 0.42, study : 0.6, employs : 0.42, slr : 0.67, evaluate : 0.33, relevant : 0.5, research : 0.47, from : 0.42, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0, identify : 0.42, trends : 0.43, utilizing : 0.41, purpose : 0.35, results : 0.52, demonstrate : 0.54, that : 0.58, achieves : 0.42, superior : 0.55, 90 : 0, compared : 0.5, traditional : 0.44, methods : 0.43, like : 0, k : 0, nearest : 0.51, neighbor : 0.42, knn : 0, however : 0.6, limitations : 0.48, include : 0.51, restricted : 0.64, dataset : 0.51, diversity : 0.49, insufficient : 0.53, testing : 0.51, under : 0.44, real : 0.46, world : 0.55, conditions : 0.48, recommendations : 0.42, emphasize : 0.41, need : 0, larger : 0.43, more : 0.58, diverse : 0.42, datasets : 0.5, integration : 0.44, additional : 0.32, media : 0, spectral : 0.63, data : 0.46, video : 0.44, enhance : 0.51, model : 0.44, robustness : 0.58 |
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| 53. https | 130 words | 0.73 | systematic : 0.37, literature : 0.53, review : 0, on : 0, the : 0.52, application : 0.43, of : 0, convolutional : 0.43, neural : 0, networks : 0.55, for : 0, rambutan : 0.44, fruit : 0, classification : 0.42, advances : 0.44, challenges : 0.43, and : 0, future : 0.46, directions : 0.43, nephelium : 0.37, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0, cultivated : 0.43, in : 0, southeast : 0.54, asia : 0, including : 0, indonesia : 0.44, manual : 0, types : 0.73, ripeness : 0.55, levels : 0.46, remains : 0.45, challenge : 0.44, due : 0, to : 0.57, high : 0.54, subjectivity : 0.36, time : 0.48, intensive : 0.54, nature : 0.46, process : 0.45, particularly : 0.36, large : 0, scale : 0, agricultural : 0.43, operations : 0.37, network : 0.45, cnn : 0, deep : 0.48, learning : 0, approach : 0.44, offers : 0.46, significant : 0.43, potential : 0.53, automating : 0.53, improving : 0.44, accuracy : 0, tasks : 0.6, by : 0, extracting : 0.53, complex : 0.45, visual : 0.46, features : 0.55, such : 0, as : 0, color : 0, texture : 0.56, this : 0.67, study : 0.47, employs : 0.56, slr : 0, evaluate : 0, relevant : 0, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.44, trends : 0.58, utilizing : 0.44, purpose : 0.56, results : 0.45, demonstrate : 0.36, that : 0.67, achieves : 0.55, superior : 0.44, 90 : 0, compared : 0.44, traditional : 0.53, methods : 0.56, like : 0, k : 0, nearest : 0.45, neighbor : 0, knn : 0, however : 0.5, limitations : 0.53, include : 0, restricted : 0.37, dataset : 0.56, diversity : 0.44, insufficient : 0.43, testing : 0.57, under : 0, real : 0, world : 0, conditions : 0.43, recommendations : 0, emphasize : 0.53, need : 0, larger : 0, more : 0, diverse : 0.45, datasets : 0.55, integration : 0.43, additional : 0.43, media : 0, spectral : 0.38, data : 0.48, video : 0, enhance : 0.45, model : 0, robustness : 0.37 |
| 54. fonts | 130 words | 0.8 | systematic : 0.37, literature : 0.43, review : 0, on : 0.8, the : 0, application : 0.43, of : 0.63, convolutional : 0.61, neural : 0.46, networks : 0.64, for : 0.75, rambutan : 0.44, fruit : 0.64, classification : 0.35, advances : 0.55, challenges : 0.43, and : 0.51, future : 0.62, directions : 0.43, nephelium : 0.44, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.38, widely : 0, cultivated : 0.43, in : 0.57, southeast : 0.64, asia : 0, including : 0.44, indonesia : 0.53, manual : 0.46, types : 0.47, ripeness : 0.55, levels : 0.46, remains : 0.45, challenge : 0, due : 0, to : 0.57, high : 0, subjectivity : 0.36, time : 0, intensive : 0.64, nature : 0.58, process : 0.56, particularly : 0.43, large : 0, scale : 0, agricultural : 0.43, operations : 0.53, network : 0.56, cnn : 0.51, deep : 0, learning : 0.44, approach : 0.44, offers : 0.59, significant : 0.36, potential : 0.53, automating : 0.37, improving : 0.44, accuracy : 0, tasks : 0.47, by : 0, extracting : 0.43, complex : 0.45, visual : 0.46, features : 0.69, such : 0, as : 0, color : 0.47, texture : 0.45, this : 0.48, study : 0, employs : 0.45, slr : 0, evaluate : 0.44, relevant : 0, research : 0.44, from : 0.67, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.55, trends : 0.58, utilizing : 0.44, purpose : 0.45, results : 0.4, demonstrate : 0.64, that : 0.48, achieves : 0.44, superior : 0, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0.56, like : 0, k : 0, nearest : 0.56, neighbor : 0.44, knn : 0.51, however : 0.45, limitations : 0.43, include : 0.45, restricted : 0.37, dataset : 0.56, diversity : 0.44, insufficient : 0.45, testing : 0.4, under : 0.47, real : 0, world : 0.47, conditions : 0.63, recommendations : 0.51, emphasize : 0.44, need : 0, larger : 0, more : 0.48, diverse : 0.45, datasets : 0.55, integration : 0.53, additional : 0.43, media : 0, spectral : 0.44, data : 0.48, video : 0, enhance : 0.45, model : 0.47, robustness : 0.65 |
| 55. googleapis | 130 words | 0.7 | systematic : 0.53, literature : 0.53, review : 0.42, on : 0.53, the : 0.48, application : 0.41, of : 0.53, convolutional : 0.56, neural : 0.43, networks : 0.45, for : 0.48, rambutan : 0.41, fruit : 0, classification : 0.48, advances : 0.45, challenges : 0.6, and : 0, future : 0.42, directions : 0.53, nephelium : 0.43, lappaceum : 0.53, l : 0.7, is : 0, a : 0, tropical : 0.58, widely : 0.34, cultivated : 0.52, in : 0, southeast : 0.61, asia : 0.45, including : 0.47, indonesia : 0.62, manual : 0.34, types : 0.43, ripeness : 0.48, levels : 0.6, remains : 0.66, challenge : 0.53, due : 0.48, to : 0.53, high : 0.45, subjectivity : 0.46, time : 0.45, intensive : 0.43, nature : 0.42, process : 0.58, particularly : 0.35, large : 0.52, scale : 0.47, agricultural : 0.45, operations : 0.67, network : 0.33, cnn : 0, deep : 0.57, learning : 0.54, approach : 0.48, offers : 0.6, significant : 0.41, potential : 0.59, automating : 0.53, improving : 0.47, accuracy : 0.41, tasks : 0, by : 0, extracting : 0.47, complex : 0.53, visual : 0.34, features : 0.56, such : 0, as : 0, color : 0.52, texture : 0.41, this : 0, study : 0, employs : 0.47, slr : 0.48, evaluate : 0.39, relevant : 0.45, research : 0.48, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.39, identify : 0.48, trends : 0.51, utilizing : 0.47, purpose : 0.49, results : 0.47, demonstrate : 0.42, that : 0.45, achieves : 0.48, superior : 0.39, 90 : 0, compared : 0.55, traditional : 0.46, methods : 0.47, like : 0.57, k : 0, nearest : 0.58, neighbor : 0.39, knn : 0, however : 0.5, limitations : 0.59, include : 0.5, restricted : 0.47, dataset : 0.33, diversity : 0.43, insufficient : 0.29, testing : 0.41, under : 0.43, real : 0.52, world : 0.53, conditions : 0.53, recommendations : 0.54, emphasize : 0.49, need : 0.45, larger : 0.49, more : 0.57, diverse : 0.5, datasets : 0.45, integration : 0.5, additional : 0.37, media : 0.53, spectral : 0.39, data : 0.45, video : 0.37, enhance : 0.33, model : 0.52, robustness : 0.53 |
| 56. com | 130 words | 0.87 | systematic : 0.48, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0.69, neural : 0, networks : 0.49, for : 0.56, rambutan : 0.49, fruit : 0, classification : 0.52, advances : 0, challenges : 0.53, and : 0, future : 0, directions : 0.48, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0, cultivated : 0.53, in : 0, southeast : 0.48, asia : 0, including : 0.48, indonesia : 0.48, manual : 0.5, types : 0, ripeness : 0, levels : 0, remains : 0.49, challenge : 0.53, due : 0, to : 0.61, high : 0, subjectivity : 0.47, time : 0.53, intensive : 0, nature : 0, process : 0.49, particularly : 0.47, large : 0, scale : 0.51, agricultural : 0.47, operations : 0.48, network : 0, cnn : 0.6, deep : 0, learning : 0, approach : 0.49, offers : 0.5, significant : 0, potential : 0.48, automating : 0.62, improving : 0.46, accuracy : 0.49, tasks : 0, by : 0, extracting : 0, complex : 0.87, visual : 0, features : 0, such : 0, as : 0, color : 0.75, texture : 0, this : 0, study : 0, employs : 0.49, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0.72, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.45, that : 0, achieves : 0.49, superior : 0, 90 : 0, compared : 0.85, traditional : 0, methods : 0.49, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0.49, limitations : 0.47, include : 0.49, restricted : 0, dataset : 0, diversity : 0, insufficient : 0, testing : 0, under : 0, real : 0, world : 0.51, conditions : 0.7, recommendations : 0.73, emphasize : 0.48, need : 0, larger : 0, more : 0.53, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0.49, data : 0, video : 0, enhance : 0, model : 0.51, robustness : 0.48 |
| 57. css | 130 words | 0.76 | systematic : 0.62, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0.52, neural : 0, networks : 0, for : 0, rambutan : 0, fruit : 0, classification : 0.76, advances : 0, challenges : 0.53, and : 0, future : 0, directions : 0.48, nephelium : 0, lappaceum : 0, l : 0, is : 0.61, a : 0, tropical : 0, widely : 0, cultivated : 0.53, in : 0, southeast : 0.48, asia : 0.53, including : 0.48, indonesia : 0, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0.53, due : 0, to : 0, high : 0, subjectivity : 0.44, time : 0, intensive : 0.48, nature : 0, process : 0, particularly : 0.47, large : 0, scale : 0.52, agricultural : 0.47, operations : 0, network : 0, cnn : 0.6, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0.47, potential : 0, automating : 0, improving : 0, accuracy : 0.49, tasks : 0.51, by : 0, extracting : 0, complex : 0.54, visual : 0.5, features : 0, such : 0.53, as : 0.61, color : 0.56, texture : 0, this : 0.53, study : 0.51, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0.56, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0.49, demonstrate : 0.47, that : 0, achieves : 0.49, superior : 0.49, 90 : 0, compared : 0.54, traditional : 0, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0, limitations : 0, include : 0.49, restricted : 0.48, dataset : 0.49, diversity : 0.48, insufficient : 0.47, testing : 0.49, under : 0, real : 0, world : 0, conditions : 0.53, recommendations : 0.47, emphasize : 0.48, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0.49, integration : 0, additional : 0, media : 0, spectral : 0.47, data : 0, video : 0, enhance : 0, model : 0, robustness : 0.48 |
| 58. family | 130 words | 0.72 | systematic : 0.34, literature : 0.49, review : 0.44, on : 0, the : 0, application : 0.48, of : 0.56, convolutional : 0.33, neural : 0.44, networks : 0, for : 0.55, rambutan : 0.53, fruit : 0.62, classification : 0.57, advances : 0.43, challenges : 0.51, and : 0.5, future : 0.5, directions : 0.42, nephelium : 0.35, lappaceum : 0.43, l : 0, is : 0, a : 0.72, tropical : 0.53, widely : 0.67, cultivated : 0.34, in : 0, southeast : 0, asia : 0.61, including : 0.52, indonesia : 0.43, manual : 0.56, types : 0, ripeness : 0.43, levels : 0.44, remains : 0.53, challenge : 0.52, due : 0, to : 0, high : 0.47, subjectivity : 0.42, time : 0.44, intensive : 0.43, nature : 0.44, process : 0, particularly : 0.58, large : 0.46, scale : 0.58, agricultural : 0.58, operations : 0.51, network : 0, cnn : 0, deep : 0, learning : 0.53, approach : 0.43, offers : 0.44, significant : 0.42, potential : 0.43, automating : 0.6, improving : 0.35, accuracy : 0.53, tasks : 0.46, by : 0, extracting : 0.51, complex : 0.54, visual : 0.56, features : 0.58, such : 0, as : 0.56, color : 0.46, texture : 0, this : 0.47, study : 0.46, employs : 0.64, slr : 0, evaluate : 0.53, relevant : 0.43, research : 0.43, from : 0.65, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.63, identify : 0.53, trends : 0, utilizing : 0.52, purpose : 0, results : 0.44, demonstrate : 0.42, that : 0.47, achieves : 0.53, superior : 0.43, 90 : 0, compared : 0.36, traditional : 0.51, methods : 0.44, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.43, knn : 0, however : 0, limitations : 0.51, include : 0.44, restricted : 0.42, dataset : 0.44, diversity : 0.52, insufficient : 0.33, testing : 0.44, under : 0, real : 0.61, world : 0.46, conditions : 0.42, recommendations : 0.41, emphasize : 0.5, need : 0, larger : 0.44, more : 0.47, diverse : 0.44, datasets : 0.43, integration : 0.42, additional : 0.51, media : 0.58, spectral : 0.43, data : 0.47, video : 0.46, enhance : 0.44, model : 0.58, robustness : 0 |
| 59. roboto | 130 words | 0.78 | systematic : 0.42, literature : 0.34, review : 0.5, on : 0.56, the : 0, application : 0.51, of : 0.56, convolutional : 0.66, neural : 0, networks : 0.36, for : 0.5, rambutan : 0.66, fruit : 0.58, classification : 0.41, advances : 0, challenges : 0, and : 0, future : 0.44, directions : 0.49, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.53, widely : 0, cultivated : 0.42, in : 0, southeast : 0.52, asia : 0, including : 0, indonesia : 0.43, manual : 0, types : 0, ripeness : 0.49, levels : 0, remains : 0.49, challenge : 0, due : 0, to : 0.56, high : 0, subjectivity : 0.5, time : 0, intensive : 0.43, nature : 0.44, process : 0.54, particularly : 0.5, large : 0.46, scale : 0, agricultural : 0.5, operations : 0.52, network : 0.37, cnn : 0, deep : 0, learning : 0.43, approach : 0.53, offers : 0.44, significant : 0, potential : 0.52, automating : 0.34, improving : 0.52, accuracy : 0, tasks : 0, by : 0.56, extracting : 0.34, complex : 0.44, visual : 0, features : 0.43, such : 0, as : 0, color : 0.58, texture : 0.44, this : 0, study : 0, employs : 0.44, slr : 0.5, evaluate : 0.43, relevant : 0.58, research : 0.49, from : 0.61, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.43, trends : 0.44, utilizing : 0.43, purpose : 0.54, results : 0.59, demonstrate : 0.51, that : 0.47, achieves : 0, superior : 0.43, 90 : 0, compared : 0.43, traditional : 0.42, methods : 0.37, like : 0, k : 0, nearest : 0.44, neighbor : 0.53, knn : 0, however : 0.44, limitations : 0.51, include : 0, restricted : 0.56, dataset : 0.44, diversity : 0.43, insufficient : 0, testing : 0.44, under : 0, real : 0.52, world : 0.41, conditions : 0.49, recommendations : 0.61, emphasize : 0, need : 0, larger : 0.44, more : 0.44, diverse : 0, datasets : 0.43, integration : 0.51, additional : 0.34, media : 0, spectral : 0.43, data : 0.47, video : 0.46, enhance : 0, model : 0.46, robustness : 0.78 |
| 60. 400 | 130 words | 0.61 | 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 : 0.53, 2024 : 0.53, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.61, 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 |
| 61. 300 | 130 words | 0.61 | 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 : 0.53, 2024 : 0.53, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.61, 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 |
| 62. 100 | 130 words | 0.61 | 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 : 0.53, 2024 : 0.53, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.61, 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 |
| 63. 500 | 130 words | 0.61 | 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 : 0.53, 2024 : 0.53, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.61, 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 |
| 64. 700 | 130 words | 0.61 | 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 : 0.53, 2024 : 0.53, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.61, 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 |
| 65. 900 | 130 words | 0.91 | 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 : 0.53, 2024 : 0.53, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0, 90 : 0.91, 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 |
| 66. stylesheet | 130 words | 0.71 | systematic : 0.66, literature : 0.53, review : 0.51, on : 0, the : 0.62, application : 0.46, of : 0, convolutional : 0.45, neural : 0.34, networks : 0.45, for : 0, rambutan : 0.41, fruit : 0.43, classification : 0.48, advances : 0.48, challenges : 0.52, and : 0, future : 0.51, directions : 0.42, nephelium : 0.45, lappaceum : 0.47, l : 0.7, is : 0.53, a : 0, tropical : 0.48, widely : 0.49, cultivated : 0.43, in : 0, southeast : 0.71, asia : 0.45, including : 0.4, indonesia : 0.47, manual : 0.42, types : 0.57, ripeness : 0.45, levels : 0.61, remains : 0.5, challenge : 0.54, due : 0.48, to : 0.53, high : 0.45, subjectivity : 0.55, time : 0.57, intensive : 0.61, nature : 0.51, process : 0.5, particularly : 0.46, large : 0.53, scale : 0.67, agricultural : 0.46, operations : 0.42, network : 0.33, cnn : 0, deep : 0.45, learning : 0.48, approach : 0.41, offers : 0.51, significant : 0.51, potential : 0.54, automating : 0.47, improving : 0, accuracy : 0, tasks : 0.52, by : 0.53, extracting : 0.42, complex : 0.5, visual : 0.51, features : 0.47, such : 0.61, as : 0.53, color : 0.43, texture : 0.58, this : 0.4, study : 0.71, employs : 0.57, slr : 0.66, evaluate : 0.47, relevant : 0.55, research : 0.47, from : 0, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0.45, identify : 0.32, trends : 0.6, utilizing : 0.47, purpose : 0.33, results : 0.64, demonstrate : 0.5, that : 0.45, achieves : 0.47, superior : 0.54, 90 : 0, compared : 0.41, traditional : 0.46, methods : 0.49, like : 0.57, k : 0, nearest : 0.57, neighbor : 0.48, knn : 0, however : 0.5, limitations : 0.41, include : 0.5, restricted : 0.5, dataset : 0.57, diversity : 0.54, insufficient : 0.52, testing : 0.41, under : 0.43, real : 0.4, world : 0.43, conditions : 0.47, recommendations : 0.5, emphasize : 0.53, need : 0.45, larger : 0.51, more : 0.45, diverse : 0.58, datasets : 0.58, integration : 0.52, additional : 0.4, media : 0.43, spectral : 0.56, data : 0.45, video : 0.43, enhance : 0.58, model : 0.37, robustness : 0.6 |
| 67. type | 130 words | 0.96 | systematic : 0.57, literature : 0.57, review : 0.47, on : 0, the : 0.75, application : 0.45, of : 0, convolutional : 0, neural : 0.47, networks : 0.42, for : 0, rambutan : 0, fruit : 0, classification : 0, advances : 0.46, challenges : 0.45, and : 0, future : 0.61, directions : 0.45, nephelium : 0.41, lappaceum : 0.57, l : 0, is : 0, a : 0, tropical : 0.63, widely : 0.47, cultivated : 0.45, in : 0, southeast : 0.57, asia : 0, including : 0, indonesia : 0.45, manual : 0, types : 0.96, ripeness : 0.58, levels : 0.47, remains : 0.46, challenge : 0.45, due : 0.53, to : 0.63, high : 0, subjectivity : 0.44, time : 0.7, intensive : 0.57, nature : 0.61, process : 0.6, particularly : 0.39, large : 0.48, scale : 0.48, agricultural : 0, operations : 0.57, network : 0.43, cnn : 0, deep : 0.5, learning : 0.46, approach : 0.46, offers : 0.47, significant : 0, potential : 0.58, automating : 0.45, improving : 0.45, accuracy : 0, tasks : 0.54, by : 0.58, extracting : 0.4, complex : 0.6, visual : 0, features : 0.42, such : 0, as : 0, color : 0, texture : 0.64, this : 0.55, study : 0.48, employs : 0.46, slr : 0, evaluate : 0.46, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.58, identify : 0.46, trends : 0.65, utilizing : 0.45, purpose : 0.46, results : 0.46, demonstrate : 0.45, that : 0.55, achieves : 0.46, superior : 0.58, 90 : 0, compared : 0.58, traditional : 0.5, methods : 0.43, like : 0.5, k : 0, nearest : 0.46, neighbor : 0.46, knn : 0, however : 0.46, limitations : 0.45, include : 0, restricted : 0.4, dataset : 0.6, diversity : 0.45, insufficient : 0, testing : 0.64, under : 0.48, real : 0, world : 0, conditions : 0, recommendations : 0.44, emphasize : 0.41, need : 0.5, larger : 0.47, more : 0.5, diverse : 0.46, datasets : 0.58, integration : 0.56, additional : 0.45, media : 0, spectral : 0.58, data : 0, video : 0.48, enhance : 0, model : 0.48, robustness : 0.45 |
| 68. text | 130 words | 0.91 | systematic : 0.68, literature : 0.68, review : 0.47, on : 0, the : 0.75, application : 0.45, of : 0, convolutional : 0.44, neural : 0.47, networks : 0.42, for : 0, rambutan : 0.46, fruit : 0.48, classification : 0, advances : 0, challenges : 0.45, and : 0, future : 0.47, directions : 0.57, nephelium : 0.45, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.51, widely : 0.47, cultivated : 0.57, in : 0, southeast : 0.45, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0.54, ripeness : 0.46, levels : 0.47, remains : 0.46, challenge : 0, due : 0.53, to : 0.63, high : 0, subjectivity : 0.56, time : 0.55, intensive : 0.57, nature : 0.47, process : 0, particularly : 0.44, large : 0, scale : 0, agricultural : 0.44, operations : 0.57, network : 0.43, cnn : 0, deep : 0.5, learning : 0.46, approach : 0, offers : 0.47, significant : 0, potential : 0.69, automating : 0.57, improving : 0, accuracy : 0, tasks : 0.54, by : 0, extracting : 0.67, complex : 0, visual : 0, features : 0.42, such : 0, as : 0, color : 0, texture : 0.91, this : 0.55, study : 0.48, employs : 0.46, slr : 0, evaluate : 0.58, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.58, trends : 0.65, utilizing : 0.45, purpose : 0, results : 0.6, demonstrate : 0.56, that : 0.7, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0, traditional : 0.6, methods : 0.43, like : 0, k : 0, nearest : 0.46, neighbor : 0.46, knn : 0, however : 0.46, limitations : 0.56, include : 0, restricted : 0.57, dataset : 0.46, diversity : 0.45, insufficient : 0, testing : 0.78, under : 0, real : 0.5, world : 0, conditions : 0.45, recommendations : 0.44, emphasize : 0.45, need : 0.5, larger : 0, more : 0, diverse : 0.46, datasets : 0.58, integration : 0.67, additional : 0.45, media : 0.48, spectral : 0.58, data : 0.5, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 69. base | 130 words | 0.83 | systematic : 0.57, literature : 0.4, review : 0.47, on : 0, the : 0.53, application : 0.45, of : 0, convolutional : 0, neural : 0.47, networks : 0.46, for : 0, rambutan : 0.42, fruit : 0, classification : 0.55, advances : 0.58, challenges : 0.57, and : 0.53, future : 0.47, directions : 0.45, nephelium : 0.45, lappaceum : 0.57, l : 0, is : 0.58, a : 0.75, tropical : 0, widely : 0.47, cultivated : 0, in : 0, southeast : 0.57, asia : 0.67, including : 0, indonesia : 0.45, manual : 0.47, types : 0.48, ripeness : 0.46, levels : 0.47, remains : 0.43, challenge : 0.57, due : 0.53, to : 0, high : 0, subjectivity : 0.56, time : 0.5, intensive : 0.41, nature : 0.61, process : 0.46, particularly : 0.44, large : 0.63, scale : 0.63, agricultural : 0.44, operations : 0.4, network : 0.46, cnn : 0, deep : 0.5, learning : 0.42, approach : 0.46, offers : 0.47, significant : 0.45, potential : 0.45, automating : 0.45, improving : 0, accuracy : 0.46, tasks : 0.63, by : 0.63, extracting : 0.4, complex : 0.46, visual : 0.47, features : 0.42, such : 0, as : 0.83, color : 0, texture : 0.46, this : 0.5, study : 0, employs : 0, slr : 0, evaluate : 0.42, relevant : 0.46, research : 0.6, from : 0, 2019 : 0, 2024 : 0, was : 0.72, analyzed : 0.58, identify : 0.46, trends : 0.47, utilizing : 0, purpose : 0, results : 0.43, demonstrate : 0.39, that : 0.5, achieves : 0.58, superior : 0.58, 90 : 0, compared : 0.58, traditional : 0.45, methods : 0.46, like : 0.5, k : 0, nearest : 0.43, neighbor : 0.46, knn : 0, however : 0.46, limitations : 0.45, include : 0, restricted : 0.4, dataset : 0.73, diversity : 0.41, insufficient : 0.44, testing : 0.43, under : 0.48, real : 0.5, world : 0, conditions : 0, recommendations : 0.44, emphasize : 0.53, need : 0.5, larger : 0.61, more : 0.5, diverse : 0.46, datasets : 0.71, integration : 0.45, additional : 0.45, media : 0, spectral : 0.58, data : 0.5, video : 0.48, enhance : 0.46, model : 0.48, robustness : 0.68 |
| 70. url | 130 words | 0.72 | systematic : 0, literature : 0.46, review : 0.5, on : 0, the : 0, application : 0.47, of : 0, convolutional : 0.47, neural : 0.67, networks : 0, for : 0, rambutan : 0.49, fruit : 0.51, classification : 0.47, advances : 0, challenges : 0.48, and : 0, future : 0.5, directions : 0.48, nephelium : 0.48, lappaceum : 0.48, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0.5, cultivated : 0.62, in : 0, southeast : 0.48, asia : 0, including : 0.48, indonesia : 0, manual : 0, types : 0, ripeness : 0.49, levels : 0.5, remains : 0.49, challenge : 0.48, due : 0, to : 0, high : 0, subjectivity : 0.47, time : 0, intensive : 0, nature : 0, process : 0.49, particularly : 0.61, large : 0.51, scale : 0.51, agricultural : 0.64, operations : 0.48, network : 0, cnn : 0, deep : 0, learning : 0.47, approach : 0.49, offers : 0, significant : 0, potential : 0, automating : 0.48, improving : 0.48, accuracy : 0.64, tasks : 0, by : 0, extracting : 0.48, complex : 0.49, visual : 0, features : 0, such : 0.53, as : 0, color : 0.51, texture : 0, this : 0, study : 0, employs : 0.49, slr : 0, evaluate : 0.49, relevant : 0.64, research : 0.49, from : 0.53, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0, trends : 0.5, utilizing : 0.67, purpose : 0.65, results : 0.65, demonstrate : 0, that : 0, achieves : 0, superior : 0.64, 90 : 0, compared : 0, traditional : 0.47, methods : 0, like : 0, k : 0, nearest : 0.49, neighbor : 0, knn : 0, however : 0, limitations : 0.47, include : 0.49, restricted : 0.48, dataset : 0, diversity : 0.48, insufficient : 0.47, testing : 0, under : 0.56, real : 0.72, world : 0.69, conditions : 0, recommendations : 0.47, emphasize : 0, need : 0, larger : 0.5, more : 0.53, diverse : 0, datasets : 0, integration : 0.47, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0.46 |
| 71. 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 |
| 72. icons | 130 words | 0.7 | systematic : 0.43, literature : 0.43, review : 0, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0.61, neural : 0, networks : 0.55, for : 0.51, rambutan : 0, fruit : 0, classification : 0.44, advances : 0.55, challenges : 0.53, and : 0, future : 0, directions : 0.53, nephelium : 0.44, lappaceum : 0, l : 0, is : 0.61, a : 0, tropical : 0.44, widely : 0.46, cultivated : 0.37, in : 0.61, southeast : 0.54, asia : 0, including : 0.58, indonesia : 0.7, manual : 0.46, types : 0.47, ripeness : 0.66, levels : 0.46, remains : 0.56, challenge : 0.54, due : 0, to : 0.57, high : 0.48, subjectivity : 0.36, time : 0.48, intensive : 0.68, nature : 0, process : 0.57, particularly : 0.52, large : 0, scale : 0.47, agricultural : 0.52, operations : 0.43, network : 0.45, cnn : 0.69, deep : 0, learning : 0.44, approach : 0.44, offers : 0.58, significant : 0.46, potential : 0.54, automating : 0.43, improving : 0.59, accuracy : 0.44, tasks : 0.47, by : 0, extracting : 0.43, complex : 0.56, visual : 0.58, features : 0.44, such : 0.48, as : 0, color : 0.6, texture : 0, this : 0.48, study : 0, employs : 0.56, slr : 0, evaluate : 0, relevant : 0.44, research : 0.44, from : 0.48, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.6, trends : 0.58, utilizing : 0.44, purpose : 0.56, results : 0.45, demonstrate : 0.62, that : 0, achieves : 0.55, superior : 0, 90 : 0, compared : 0.55, traditional : 0.43, methods : 0.56, like : 0.48, k : 0, nearest : 0.45, neighbor : 0.38, knn : 0.51, however : 0.45, limitations : 0.43, include : 0.61, restricted : 0.43, dataset : 0.45, diversity : 0.54, insufficient : 0.66, testing : 0.4, under : 0, real : 0, world : 0.47, conditions : 0.57, recommendations : 0.6, emphasize : 0.44, need : 0, larger : 0, more : 0.48, diverse : 0.56, datasets : 0.44, integration : 0.57, additional : 0.63, media : 0, spectral : 0.44, data : 0, video : 0.47, enhance : 0.45, model : 0.47, robustness : 0.52 |
| 73. icomoon | 130 words | 0.68 | systematic : 0.41, literature : 0.41, review : 0, on : 0.55, the : 0, application : 0.65, of : 0.55, convolutional : 0.63, neural : 0, networks : 0.42, for : 0.49, rambutan : 0.51, fruit : 0, classification : 0.31, advances : 0.42, challenges : 0.5, and : 0, future : 0, directions : 0.66, nephelium : 0, lappaceum : 0, l : 0, is : 0.59, a : 0, tropical : 0.42, widely : 0.44, cultivated : 0.33, in : 0.59, southeast : 0.42, asia : 0.46, including : 0.63, indonesia : 0.63, manual : 0, types : 0, ripeness : 0.51, levels : 0, remains : 0.52, challenge : 0.5, due : 0, to : 0.55, high : 0.46, subjectivity : 0.41, time : 0.6, intensive : 0.55, nature : 0, process : 0.36, particularly : 0.48, large : 0, scale : 0.45, agricultural : 0.48, operations : 0.58, network : 0.43, cnn : 0.49, deep : 0, learning : 0.42, approach : 0.42, offers : 0.44, significant : 0.49, potential : 0.5, automating : 0.58, improving : 0.63, accuracy : 0.42, tasks : 0, by : 0, extracting : 0.5, complex : 0.62, visual : 0.44, features : 0, such : 0.46, as : 0, color : 0.68, texture : 0, this : 0.46, study : 0, employs : 0.36, slr : 0, evaluate : 0, relevant : 0.42, research : 0, from : 0.6, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.56, trends : 0, utilizing : 0.5, purpose : 0.43, results : 0, demonstrate : 0.46, that : 0, achieves : 0.35, superior : 0.42, 90 : 0, compared : 0.6, traditional : 0.57, methods : 0.43, like : 0.46, k : 0, nearest : 0, neighbor : 0.51, knn : 0, however : 0.43, limitations : 0.65, include : 0.57, restricted : 0, dataset : 0, diversity : 0.42, insufficient : 0.54, testing : 0.43, under : 0, real : 0, world : 0.45, conditions : 0.57, recommendations : 0.61, emphasize : 0.42, need : 0, larger : 0, more : 0.46, diverse : 0.43, datasets : 0, integration : 0.61, additional : 0.58, media : 0, spectral : 0.42, data : 0, video : 0.56, enhance : 0.43, model : 0.45, robustness : 0.5 |
| 74. styles | 130 words | 0.82 | systematic : 0.68, literature : 0.49, review : 0.44, on : 0, the : 0.67, application : 0.42, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.51, for : 0, rambutan : 0, fruit : 0, classification : 0.46, advances : 0.53, challenges : 0.6, and : 0, future : 0.56, directions : 0.49, nephelium : 0.35, lappaceum : 0.52, l : 0, is : 0.56, a : 0, tropical : 0.43, widely : 0.39, cultivated : 0.49, in : 0, southeast : 0.73, asia : 0.47, including : 0.43, indonesia : 0.52, manual : 0.44, types : 0.82, ripeness : 0.53, levels : 0.56, remains : 0.44, challenge : 0.52, due : 0.5, to : 0.56, high : 0, subjectivity : 0.52, time : 0.61, intensive : 0.61, nature : 0.56, process : 0.54, particularly : 0.5, large : 0.46, scale : 0.73, agricultural : 0.42, operations : 0.49, network : 0.44, cnn : 0, deep : 0.47, learning : 0.53, approach : 0, offers : 0.56, significant : 0.48, potential : 0.52, automating : 0.42, improving : 0, accuracy : 0, tasks : 0.59, by : 0.56, extracting : 0.34, complex : 0.54, visual : 0.56, features : 0.51, such : 0.52, as : 0.56, color : 0.46, texture : 0.54, this : 0.61, study : 0.76, employs : 0.54, slr : 0.7, evaluate : 0.53, relevant : 0.36, research : 0.36, from : 0, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.51, identify : 0.36, trends : 0.67, utilizing : 0.52, purpose : 0.37, results : 0.64, demonstrate : 0.51, that : 0.47, achieves : 0.53, superior : 0.58, 90 : 0, compared : 0.43, traditional : 0.42, methods : 0.54, like : 0.47, k : 0, nearest : 0.54, neighbor : 0.43, knn : 0, however : 0.44, limitations : 0.34, include : 0.54, restricted : 0.43, dataset : 0.53, diversity : 0.52, insufficient : 0.5, testing : 0.37, under : 0.46, real : 0.47, world : 0.46, conditions : 0.51, recommendations : 0.41, emphasize : 0.43, need : 0.47, larger : 0.44, more : 0.47, diverse : 0.54, datasets : 0.51, integration : 0.51, additional : 0.42, media : 0, spectral : 0.56, data : 0.47, video : 0.46, enhance : 0.44, model : 0.41, robustness : 0.69 |
| 75. min | 130 words | 0.7 | systematic : 0, literature : 0.48, review : 0.5, 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, classification : 0.47, advances : 0.49, challenges : 0.48, and : 0, future : 0, directions : 0.48, nephelium : 0.48, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0.5, cultivated : 0.48, in : 0, southeast : 0, asia : 0.53, including : 0.63, indonesia : 0.63, manual : 0.7, types : 0, ripeness : 0.64, levels : 0, remains : 0.49, challenge : 0, due : 0, to : 0, high : 0.53, subjectivity : 0, time : 0.53, intensive : 0.63, nature : 0.5, process : 0, particularly : 0.47, large : 0, scale : 0, agricultural : 0.47, operations : 0, network : 0.49, cnn : 0.56, deep : 0, learning : 0.49, approach : 0, offers : 0, significant : 0.62, potential : 0.48, automating : 0.48, improving : 0.46, accuracy : 0, tasks : 0, by : 0, extracting : 0, complex : 0.49, visual : 0.5, features : 0, such : 0, as : 0, color : 0, texture : 0, this : 0.53, study : 0, employs : 0.49, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.64, trends : 0.5, utilizing : 0.48, purpose : 0, results : 0, demonstrate : 0.62, that : 0, achieves : 0.49, superior : 0, 90 : 0, compared : 0.49, traditional : 0.47, methods : 0.54, like : 0.53, k : 0, nearest : 0.49, neighbor : 0.47, knn : 0.56, however : 0, limitations : 0.45, include : 0.65, restricted : 0.48, dataset : 0, diversity : 0.48, insufficient : 0.61, testing : 0, under : 0.51, real : 0, world : 0, conditions : 0.46, recommendations : 0.6, emphasize : 0.48, need : 0, larger : 0, more : 0.58, diverse : 0.49, datasets : 0, integration : 0.62, additional : 0.48, media : 0.56, spectral : 0, data : 0, video : 0.51, enhance : 0.49, model : 0.56, robustness : 0.48 |
| 76. assets | 130 words | 0.82 | systematic : 0.61, literature : 0.34, review : 0.44, on : 0, the : 0.5, application : 0.55, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.63, for : 0, rambutan : 0.53, fruit : 0.46, classification : 0.65, advances : 0.66, challenges : 0.6, and : 0.55, future : 0.39, directions : 0.6, nephelium : 0.43, lappaceum : 0.52, l : 0, is : 0.56, a : 0.75, tropical : 0, widely : 0.44, cultivated : 0.42, in : 0, southeast : 0.62, asia : 0.69, including : 0, indonesia : 0.52, manual : 0.44, types : 0.41, ripeness : 0.53, levels : 0.56, remains : 0.54, challenge : 0.52, due : 0.5, to : 0, high : 0, subjectivity : 0.58, time : 0.47, intensive : 0.5, nature : 0.56, process : 0.54, particularly : 0.5, large : 0.58, scale : 0.59, agricultural : 0.55, operations : 0.61, network : 0.54, cnn : 0, deep : 0.47, learning : 0.36, approach : 0.49, offers : 0.56, significant : 0.42, potential : 0.35, automating : 0.56, improving : 0, accuracy : 0.49, tasks : 0.7, by : 0, extracting : 0.43, complex : 0.44, visual : 0.44, features : 0.64, such : 0.47, as : 0.82, color : 0, texture : 0.54, this : 0.47, study : 0.46, employs : 0.44, slr : 0.5, evaluate : 0.51, relevant : 0.53, research : 0.36, from : 0, 2019 : 0, 2024 : 0, was : 0.67, analyzed : 0.58, identify : 0.53, trends : 0.56, utilizing : 0.43, purpose : 0.44, results : 0.66, demonstrate : 0.48, that : 0.61, achieves : 0.66, superior : 0.53, 90 : 0, compared : 0.43, traditional : 0.34, methods : 0.64, like : 0.47, k : 0, nearest : 0.58, neighbor : 0.43, knn : 0, however : 0.44, limitations : 0.42, include : 0, restricted : 0.49, dataset : 0.62, diversity : 0.5, insufficient : 0.42, testing : 0.53, under : 0.46, real : 0.44, world : 0, conditions : 0.51, recommendations : 0.49, emphasize : 0.35, need : 0.47, larger : 0.56, more : 0.47, diverse : 0.54, datasets : 0.72, integration : 0.34, additional : 0.56, media : 0.46, spectral : 0.63, data : 0.61, video : 0.46, enhance : 0, model : 0.46, robustness : 0.61 |
| 77. bootstrap | 130 words | 0.64 | systematic : 0.45, literature : 0.49, review : 0, on : 0.54, the : 0.48, application : 0.3, of : 0.54, convolutional : 0.58, neural : 0.52, networks : 0.48, for : 0.48, rambutan : 0.57, fruit : 0.44, classification : 0.35, advances : 0.41, challenges : 0, and : 0, future : 0.52, directions : 0.31, nephelium : 0, lappaceum : 0.41, l : 0, is : 0.54, a : 0, tropical : 0.46, widely : 0, cultivated : 0.43, in : 0, southeast : 0.6, asia : 0.45, including : 0, indonesia : 0.56, manual : 0.43, types : 0.54, ripeness : 0.41, levels : 0.43, remains : 0.42, challenge : 0, due : 0, to : 0.57, high : 0, subjectivity : 0.47, time : 0.45, intensive : 0.48, nature : 0.52, process : 0.5, particularly : 0.42, large : 0, scale : 0, agricultural : 0.42, operations : 0.49, network : 0.48, cnn : 0, deep : 0, learning : 0.41, approach : 0.46, offers : 0.5, significant : 0.47, potential : 0.63, automating : 0.45, improving : 0.31, accuracy : 0.49, tasks : 0.54, by : 0.58, extracting : 0.49, complex : 0.42, visual : 0.52, features : 0.46, such : 0, as : 0.54, color : 0.64, texture : 0.59, this : 0.57, study : 0.44, employs : 0.5, slr : 0, evaluate : 0.32, relevant : 0.32, research : 0.46, from : 0.45, 2019 : 0, 2024 : 0, was : 0.48, analyzed : 0, identify : 0.41, trends : 0.52, utilizing : 0.41, purpose : 0.5, results : 0.34, demonstrate : 0.6, that : 0.57, achieves : 0.41, superior : 0.41, 90 : 0, compared : 0.46, traditional : 0.54, methods : 0.48, like : 0, k : 0, nearest : 0.48, neighbor : 0.41, knn : 0, however : 0.5, limitations : 0.42, include : 0, restricted : 0.45, dataset : 0.59, diversity : 0.39, insufficient : 0.4, testing : 0.59, under : 0.44, real : 0, world : 0.44, conditions : 0.47, recommendations : 0.4, emphasize : 0.31, need : 0, larger : 0.43, more : 0.45, diverse : 0.34, datasets : 0.57, integration : 0.48, additional : 0.43, media : 0.44, spectral : 0.57, data : 0.45, video : 0.44, enhance : 0, model : 0.44, robustness : 0.45 |
| 78. limitless | 130 words | 0.84 | systematic : 0.38, literature : 0.69, review : 0.52, on : 0, the : 0, application : 0.54, of : 0, convolutional : 0.41, neural : 0.43, networks : 0.49, for : 0, rambutan : 0.49, fruit : 0.54, classification : 0.56, advances : 0.49, challenges : 0.61, and : 0, future : 0.52, directions : 0.62, nephelium : 0.44, lappaceum : 0.53, l : 0.73, is : 0.54, a : 0, tropical : 0.49, widely : 0.5, cultivated : 0.53, in : 0.54, southeast : 0.56, asia : 0.45, including : 0.44, indonesia : 0.56, manual : 0.52, types : 0.54, ripeness : 0.65, levels : 0.66, remains : 0.48, challenge : 0.56, due : 0, to : 0, high : 0.45, subjectivity : 0.42, time : 0.69, intensive : 0.57, nature : 0.52, process : 0.59, particularly : 0.42, large : 0.59, scale : 0.54, agricultural : 0.42, operations : 0.53, network : 0.42, cnn : 0, deep : 0, learning : 0.54, approach : 0, offers : 0.52, significant : 0.47, potential : 0.46, automating : 0.38, improving : 0.56, accuracy : 0, tasks : 0.44, by : 0, extracting : 0.31, complex : 0.59, visual : 0.52, features : 0.57, such : 0, as : 0, color : 0.44, texture : 0.5, this : 0.45, study : 0.44, employs : 0.48, slr : 0.48, evaluate : 0.57, relevant : 0.46, research : 0.41, from : 0.45, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.46, trends : 0.43, utilizing : 0.5, purpose : 0.34, results : 0.48, demonstrate : 0.48, that : 0.45, achieves : 0.57, superior : 0.32, 90 : 0, compared : 0.49, traditional : 0.42, methods : 0.59, like : 0.76, k : 0, nearest : 0.42, neighbor : 0.41, knn : 0, however : 0.42, limitations : 0.84, include : 0.48, restricted : 0.43, dataset : 0.48, diversity : 0.57, insufficient : 0.47, testing : 0.34, under : 0.44, real : 0.45, world : 0.44, conditions : 0.53, recommendations : 0.45, emphasize : 0.5, need : 0, larger : 0.57, more : 0.57, diverse : 0.59, datasets : 0.56, integration : 0.54, additional : 0.53, media : 0.37, spectral : 0.49, data : 0.45, video : 0.54, enhance : 0.42, model : 0.53, robustness : 0.49 |
| 79. layout | 130 words | 0.75 | systematic : 0.51, literature : 0.61, review : 0, on : 0, the : 0, application : 0.48, of : 0, convolutional : 0.57, neural : 0.44, networks : 0.36, for : 0.5, rambutan : 0.63, fruit : 0.58, classification : 0.57, advances : 0.43, challenges : 0.34, and : 0.5, future : 0.44, directions : 0.34, nephelium : 0.43, lappaceum : 0.69, l : 0.75, is : 0, a : 0.72, tropical : 0.43, widely : 0, cultivated : 0.49, in : 0, southeast : 0.61, asia : 0.47, including : 0.52, indonesia : 0.43, manual : 0.56, types : 0.46, ripeness : 0, levels : 0.5, remains : 0.44, challenge : 0.35, due : 0, to : 0.56, high : 0, subjectivity : 0.5, time : 0, intensive : 0.43, nature : 0.56, process : 0.44, particularly : 0.47, large : 0.66, scale : 0.46, agricultural : 0.58, operations : 0.49, network : 0.44, cnn : 0, deep : 0, learning : 0.58, approach : 0.53, offers : 0, significant : 0, potential : 0.52, automating : 0.56, improving : 0.43, accuracy : 0.53, tasks : 0.46, by : 0.56, extracting : 0.34, complex : 0.44, visual : 0.44, features : 0.51, such : 0, as : 0.56, color : 0.41, texture : 0.37, this : 0, study : 0.41, employs : 0.44, slr : 0.5, evaluate : 0.64, relevant : 0.53, research : 0.43, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.51, identify : 0.43, trends : 0, utilizing : 0.43, purpose : 0.44, results : 0.54, demonstrate : 0.51, that : 0.61, achieves : 0.43, superior : 0.36, 90 : 0, compared : 0.36, traditional : 0.48, methods : 0.44, like : 0.52, k : 0, nearest : 0.54, neighbor : 0.43, knn : 0, however : 0.44, limitations : 0.53, include : 0.44, restricted : 0.42, dataset : 0.54, diversity : 0.43, insufficient : 0.42, testing : 0.44, under : 0, real : 0.47, world : 0.46, conditions : 0.51, recommendations : 0.49, emphasize : 0.43, need : 0, larger : 0.64, more : 0.47, diverse : 0, datasets : 0.53, integration : 0.42, additional : 0.49, media : 0, spectral : 0.43, data : 0.47, video : 0.46, enhance : 0.44, model : 0.46, robustness : 0.6 |
| 80. components | 130 words | 0.84 | systematic : 0.42, literature : 0.47, review : 0.42, on : 0.73, the : 0.48, application : 0.41, of : 0.53, convolutional : 0.66, neural : 0, networks : 0.48, for : 0.48, rambutan : 0.45, fruit : 0.43, classification : 0.53, advances : 0.56, challenges : 0.57, and : 0.48, future : 0.42, directions : 0.59, nephelium : 0.47, lappaceum : 0.47, l : 0, is : 0, a : 0, tropical : 0.48, widely : 0.42, cultivated : 0.48, in : 0.53, southeast : 0.53, asia : 0, including : 0.43, indonesia : 0.55, manual : 0.51, types : 0.53, ripeness : 0.55, levels : 0.51, remains : 0.58, challenge : 0.49, due : 0.48, to : 0.53, high : 0, subjectivity : 0.41, time : 0.57, intensive : 0.61, nature : 0.42, process : 0.67, particularly : 0.35, large : 0.43, scale : 0.53, agricultural : 0.46, operations : 0.7, network : 0.41, cnn : 0.66, deep : 0.4, learning : 0.48, approach : 0.32, offers : 0.6, significant : 0.52, potential : 0.55, automating : 0.52, improving : 0.49, accuracy : 0.41, tasks : 0, by : 0, extracting : 0.3, complex : 0.84, visual : 0, features : 0.48, such : 0.45, as : 0, color : 0.71, texture : 0.41, this : 0, study : 0, employs : 0.53, slr : 0, evaluate : 0.32, relevant : 0.45, research : 0.41, from : 0.57, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.48, identify : 0.45, trends : 0.49, utilizing : 0.4, purpose : 0.49, results : 0.5, demonstrate : 0.6, that : 0, achieves : 0.56, superior : 0.45, 90 : 0, compared : 0.83, traditional : 0.36, methods : 0.47, like : 0.45, k : 0, nearest : 0.47, neighbor : 0.41, knn : 0.48, however : 0.5, limitations : 0.55, include : 0.47, restricted : 0.3, dataset : 0.5, diversity : 0.43, insufficient : 0.58, testing : 0.41, under : 0.53, real : 0, world : 0.43, conditions : 0.76, recommendations : 0.63, emphasize : 0.53, need : 0.45, larger : 0.42, more : 0.57, diverse : 0.5, datasets : 0.56, integration : 0.5, additional : 0.37, media : 0.43, spectral : 0.51, data : 0, video : 0.37, enhance : 0.47, model : 0.52, robustness : 0.57 |
| 81. colors | 130 words | 0.97 | systematic : 0.42, literature : 0.51, review : 0, on : 0.56, the : 0, application : 0.42, of : 0.56, convolutional : 0.66, neural : 0.44, networks : 0.63, for : 0.67, rambutan : 0, fruit : 0, classification : 0.61, advances : 0.43, challenges : 0.64, and : 0, future : 0.44, directions : 0.56, nephelium : 0.43, lappaceum : 0.43, l : 0.72, is : 0, a : 0, tropical : 0.36, widely : 0.44, cultivated : 0.56, in : 0, southeast : 0.52, asia : 0, including : 0.52, indonesia : 0.52, manual : 0, types : 0.46, ripeness : 0.43, levels : 0.56, remains : 0.44, challenge : 0.57, due : 0, to : 0.56, high : 0, subjectivity : 0.33, time : 0, intensive : 0.43, nature : 0.44, process : 0.54, particularly : 0.42, large : 0.58, scale : 0.58, agricultural : 0.42, operations : 0.61, network : 0.54, cnn : 0.55, deep : 0, learning : 0.53, approach : 0.36, offers : 0.67, significant : 0, potential : 0.43, automating : 0.42, improving : 0.35, accuracy : 0.53, tasks : 0.46, by : 0, extracting : 0.42, complex : 0.71, visual : 0, features : 0.53, such : 0.47, as : 0, color : 0.97, texture : 0.44, this : 0.47, study : 0, employs : 0.64, slr : 0.67, evaluate : 0.43, relevant : 0.43, research : 0.36, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0, trends : 0.44, utilizing : 0.43, purpose : 0.53, results : 0.54, demonstrate : 0.48, that : 0, achieves : 0.53, superior : 0.36, 90 : 0, compared : 0.7, traditional : 0.34, methods : 0.54, like : 0.47, k : 0, nearest : 0.54, neighbor : 0.53, knn : 0, however : 0.54, limitations : 0.42, include : 0.54, restricted : 0.51, dataset : 0.44, diversity : 0.52, insufficient : 0.42, testing : 0, under : 0.46, real : 0.47, world : 0.59, conditions : 0.75, recommendations : 0.4, emphasize : 0.43, need : 0, larger : 0.56, more : 0.61, diverse : 0.54, datasets : 0.43, integration : 0.42, additional : 0.42, media : 0, spectral : 0.53, data : 0, video : 0.46, enhance : 0, model : 0.58, robustness : 0.49 |
| 82. body | 130 words | 0.63 | systematic : 0.45, literature : 0, review : 0, on : 0.58, the : 0, application : 0, of : 0.58, convolutional : 0.44, neural : 0, networks : 0.46, for : 0.53, rambutan : 0.46, fruit : 0, classification : 0, advances : 0.46, challenges : 0, and : 0.53, future : 0, directions : 0.45, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.46, widely : 0.61, cultivated : 0, in : 0, southeast : 0.45, asia : 0, including : 0.45, indonesia : 0.41, manual : 0, types : 0, ripeness : 0, levels : 0, remains : 0, challenge : 0, due : 0, to : 0.58, high : 0, subjectivity : 0.44, time : 0, intensive : 0, nature : 0, process : 0.46, particularly : 0, large : 0, scale : 0, agricultural : 0, operations : 0.45, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0.46, offers : 0.47, significant : 0, potential : 0.45, automating : 0.45, improving : 0.45, accuracy : 0, tasks : 0, by : 0.63, extracting : 0, complex : 0.46, visual : 0, features : 0, such : 0, as : 0, color : 0.48, texture : 0, this : 0, study : 0.63, employs : 0.46, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0.5, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.46, identify : 0.46, trends : 0.47, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.39, that : 0, achieves : 0, superior : 0, 90 : 0, compared : 0.46, traditional : 0.45, methods : 0, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0.46, limitations : 0, include : 0, restricted : 0, dataset : 0.46, diversity : 0.45, insufficient : 0, testing : 0, under : 0.48, real : 0, world : 0.48, conditions : 0.57, recommendations : 0.54, emphasize : 0, need : 0.5, larger : 0, more : 0.5, diverse : 0.46, datasets : 0.46, integration : 0, additional : 0.45, media : 0.48, spectral : 0, data : 0, video : 0.48, enhance : 0, model : 0.63, robustness : 0.4 |
| 83. class | 130 words | 0.87 | systematic : 0.52, literature : 0.53, review : 0, on : 0, the : 0, application : 0.36, of : 0, convolutional : 0.57, neural : 0.46, networks : 0.44, for : 0, rambutan : 0.44, fruit : 0, classification : 0.87, advances : 0.55, challenges : 0.57, and : 0, future : 0, directions : 0.43, nephelium : 0, lappaceum : 0.54, l : 0.73, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0.67, in : 0, southeast : 0.54, asia : 0.48, including : 0.54, indonesia : 0.44, manual : 0.46, types : 0.47, ripeness : 0.55, levels : 0.58, remains : 0.56, challenge : 0.58, due : 0, to : 0, high : 0, subjectivity : 0.36, time : 0, intensive : 0.44, nature : 0.46, process : 0.56, particularly : 0.36, large : 0.6, scale : 0.6, agricultural : 0.45, operations : 0.43, network : 0, cnn : 0.56, deep : 0, learning : 0.55, approach : 0.44, offers : 0.46, significant : 0.43, potential : 0, automating : 0.43, improving : 0, accuracy : 0.38, tasks : 0.73, by : 0, extracting : 0.43, complex : 0.5, visual : 0.41, features : 0.55, such : 0, as : 0, color : 0.64, texture : 0, this : 0.48, study : 0, employs : 0.56, slr : 0.51, evaluate : 0.38, relevant : 0.55, research : 0.38, from : 0, 2019 : 0, 2024 : 0, was : 0.69, analyzed : 0.38, identify : 0, trends : 0.46, utilizing : 0.44, purpose : 0.45, results : 0.56, demonstrate : 0.43, that : 0.48, achieves : 0.55, superior : 0.44, 90 : 0, compared : 0.6, traditional : 0.43, methods : 0.45, like : 0.48, k : 0, nearest : 0.56, neighbor : 0, knn : 0, however : 0, limitations : 0.53, include : 0.56, restricted : 0.43, dataset : 0.56, diversity : 0.44, insufficient : 0.43, testing : 0.45, under : 0, real : 0.48, world : 0, conditions : 0.49, recommendations : 0.42, emphasize : 0.54, need : 0, larger : 0.58, more : 0, diverse : 0.45, datasets : 0.66, integration : 0.43, additional : 0.43, media : 0, spectral : 0.38, data : 0.48, video : 0, enhance : 0.45, model : 0, robustness : 0.53 |
| 84. boxed | 130 words | 0.66 | systematic : 0.43, literature : 0.43, review : 0.46, on : 0.57, the : 0.51, application : 0, of : 0.57, convolutional : 0.43, neural : 0.46, networks : 0.38, for : 0.51, rambutan : 0.44, fruit : 0, classification : 0, advances : 0.38, challenges : 0.43, and : 0, 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, in : 0, southeast : 0.54, asia : 0, including : 0.44, indonesia : 0.48, manual : 0, types : 0.47, ripeness : 0.44, levels : 0.46, remains : 0.45, challenge : 0.44, due : 0.51, to : 0.57, high : 0, subjectivity : 0.52, time : 0.48, intensive : 0.44, nature : 0.46, process : 0.56, particularly : 0, large : 0.47, scale : 0.47, agricultural : 0, operations : 0.53, network : 0.45, cnn : 0, deep : 0.48, learning : 0.44, approach : 0.44, offers : 0.58, significant : 0, potential : 0.54, automating : 0.43, improving : 0.44, accuracy : 0, tasks : 0, by : 0.61, extracting : 0.37, complex : 0.56, visual : 0, features : 0.44, such : 0, as : 0, color : 0.47, texture : 0.4, this : 0, study : 0.47, employs : 0, slr : 0, evaluate : 0.44, relevant : 0.44, research : 0.44, from : 0.48, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.55, identify : 0.38, trends : 0.58, utilizing : 0, purpose : 0, results : 0.45, demonstrate : 0.51, that : 0, achieves : 0.44, superior : 0.44, 90 : 0, compared : 0.66, traditional : 0.43, methods : 0.56, like : 0.48, k : 0, nearest : 0.45, neighbor : 0.44, knn : 0, however : 0.56, limitations : 0, include : 0.45, restricted : 0.43, dataset : 0.45, diversity : 0.44, insufficient : 0, testing : 0.45, under : 0.47, real : 0, world : 0.6, conditions : 0.53, recommendations : 0.49, emphasize : 0.44, need : 0.63, larger : 0.46, more : 0.63, diverse : 0.45, datasets : 0.44, integration : 0.43, additional : 0.43, media : 0, spectral : 0.44, data : 0, video : 0.47, enhance : 0, model : 0.6, robustness : 0.52 |
| 85. bg | 130 words | 0.7 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0, neural : 0, networks : 0, for : 0, rambutan : 0.54, 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 : 0.58, subjectivity : 0.53, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0, large : 0, scale : 0, agricultural : 0.53, operations : 0, network : 0, cnn : 0, deep : 0, learning : 0, approach : 0, offers : 0, significant : 0.53, potential : 0, automating : 0, improving : 0, accuracy : 0, tasks : 0, by : 0.7, 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 : 0.54, 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 : 0.56, more : 0, diverse : 0, datasets : 0, integration : 0.53, additional : 0, media : 0, spectral : 0, data : 0, video : 0, enhance : 0, model : 0, robustness : 0.53 |
| 86. this | 130 words | 1 | systematic : 0.4, literature : 0.4, review : 0.47, on : 0, the : 0.78, application : 0.45, of : 0, convolutional : 0, neural : 0, networks : 0.46, for : 0, rambutan : 0, fruit : 0.48, classification : 0.38, advances : 0, challenges : 0.45, and : 0, future : 0.47, directions : 0.45, nephelium : 0.45, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.63, widely : 0.47, cultivated : 0.57, in : 0, southeast : 0.53, asia : 0.5, including : 0.45, indonesia : 0.57, manual : 0, types : 0.67, ripeness : 0.58, levels : 0.47, remains : 0.46, challenge : 0.45, due : 0, to : 0.63, high : 0.67, subjectivity : 0.39, time : 0.7, intensive : 0.58, nature : 0.47, process : 0.46, particularly : 0.56, large : 0, scale : 0, agricultural : 0.44, operations : 0.45, network : 0.46, cnn : 0, deep : 0, learning : 0.46, approach : 0, offers : 0.47, significant : 0.39, potential : 0.45, automating : 0.45, improving : 0.45, accuracy : 0, tasks : 0.67, by : 0, extracting : 0.45, complex : 0, visual : 0.61, features : 0.46, such : 0, as : 0, color : 0, texture : 0.52, this : 1, study : 0.48, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0, identify : 0.46, trends : 0.65, utilizing : 0.57, purpose : 0.46, results : 0.46, demonstrate : 0.45, that : 0.73, achieves : 0.58, superior : 0.42, 90 : 0, compared : 0, traditional : 0.6, methods : 0.6, like : 0.5, k : 0, nearest : 0.46, neighbor : 0.42, knn : 0, however : 0.46, limitations : 0.39, include : 0.46, restricted : 0.52, dataset : 0.6, diversity : 0.57, insufficient : 0.56, testing : 0.65, under : 0, real : 0, world : 0, conditions : 0.45, recommendations : 0, emphasize : 0.57, need : 0, larger : 0, more : 0, diverse : 0.6, datasets : 0.58, integration : 0.39, additional : 0.4, media : 0.48, spectral : 0.46, data : 0, video : 0.48, enhance : 0.46, model : 0, robustness : 0.45 |
| 87. load | 130 words | 0.78 | systematic : 0.45, literature : 0.61, review : 0, on : 0.58, the : 0, application : 0.39, of : 0.58, convolutional : 0.38, neural : 0.47, networks : 0.46, for : 0.53, rambutan : 0.46, fruit : 0, classification : 0.55, advances : 0.58, challenges : 0.4, and : 0.53, future : 0, directions : 0.45, nephelium : 0, lappaceum : 0.62, l : 0.78, is : 0, a : 0, tropical : 0.46, widely : 0.47, cultivated : 0.57, in : 0, southeast : 0.45, asia : 0.5, including : 0.57, indonesia : 0.41, manual : 0.47, types : 0, ripeness : 0, levels : 0.52, remains : 0.46, challenge : 0.41, due : 0, to : 0.58, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.47, process : 0.46, particularly : 0.44, large : 0.67, scale : 0.48, agricultural : 0.44, operations : 0.57, network : 0, cnn : 0, deep : 0, learning : 0.63, approach : 0.42, offers : 0.47, significant : 0, potential : 0.45, automating : 0.4, improving : 0.45, accuracy : 0.46, tasks : 0.48, by : 0, extracting : 0.45, complex : 0.46, visual : 0.47, features : 0.46, such : 0, as : 0, color : 0.48, texture : 0, this : 0, study : 0.48, employs : 0, slr : 0.53, evaluate : 0.42, relevant : 0.58, research : 0.46, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.42, identify : 0.46, trends : 0.47, utilizing : 0.45, purpose : 0, results : 0, demonstrate : 0.39, that : 0.5, achieves : 0.46, superior : 0, 90 : 0, compared : 0.58, traditional : 0.56, methods : 0.46, like : 0.55, k : 0, nearest : 0.46, neighbor : 0, knn : 0, however : 0.46, limitations : 0.6, include : 0.46, restricted : 0, dataset : 0.46, diversity : 0.45, insufficient : 0, testing : 0, under : 0.48, real : 0.5, world : 0.63, conditions : 0.57, recommendations : 0.54, emphasize : 0.45, need : 0.5, larger : 0.65, more : 0.5, diverse : 0, datasets : 0.42, integration : 0.45, additional : 0.57, media : 0.48, spectral : 0, data : 0.5, video : 0.48, enhance : 0.46, model : 0.63, robustness : 0.45 |
| 88. view | 130 words | 0.83 | systematic : 0.45, literature : 0.57, review : 0.76, on : 0, the : 0.53, application : 0.45, of : 0, convolutional : 0.44, neural : 0.47, networks : 0.58, for : 0, rambutan : 0, fruit : 0, classification : 0.44, advances : 0.46, challenges : 0.45, and : 0, future : 0, directions : 0.57, nephelium : 0.45, lappaceum : 0, l : 0, is : 0.58, a : 0, tropical : 0.46, widely : 0.61, cultivated : 0.45, in : 0.58, southeast : 0.45, asia : 0.5, including : 0.45, indonesia : 0.57, manual : 0, types : 0.48, ripeness : 0.58, levels : 0.44, remains : 0.46, challenge : 0.45, due : 0.53, to : 0, high : 0.5, subjectivity : 0.44, time : 0.67, intensive : 0.57, nature : 0, process : 0.46, particularly : 0.44, large : 0, scale : 0, agricultural : 0.44, operations : 0.45, network : 0.6, cnn : 0, deep : 0.5, learning : 0.46, approach : 0, offers : 0.47, significant : 0.45, potential : 0.45, automating : 0, improving : 0.45, accuracy : 0, tasks : 0, by : 0, extracting : 0.45, complex : 0, visual : 0.69, features : 0.46, such : 0, as : 0, color : 0, texture : 0.46, this : 0.5, study : 0, employs : 0.46, slr : 0, evaluate : 0.42, relevant : 0.46, research : 0.46, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.58, trends : 0.47, utilizing : 0.45, purpose : 0, results : 0.46, demonstrate : 0.45, that : 0, achieves : 0.58, superior : 0.46, 90 : 0, compared : 0, traditional : 0.45, methods : 0.46, like : 0.67, k : 0, nearest : 0.46, neighbor : 0.42, knn : 0, however : 0.43, limitations : 0.45, include : 0.46, restricted : 0.4, dataset : 0, diversity : 0.58, insufficient : 0.44, testing : 0.46, under : 0.48, real : 0.5, world : 0, conditions : 0.45, recommendations : 0.44, emphasize : 0.45, need : 0.5, larger : 0.47, more : 0.5, diverse : 0.62, datasets : 0.46, integration : 0.56, additional : 0.45, media : 0.48, spectral : 0.46, data : 0, video : 0.83, enhance : 0.46, model : 0.48, robustness : 0 |
| 89. inc | 130 words | 0.91 | systematic : 0, literature : 0.48, review : 0, on : 0.61, the : 0, application : 0.62, of : 0, convolutional : 0.44, neural : 0.5, networks : 0.49, for : 0, rambutan : 0, fruit : 0, classification : 0.44, advances : 0.64, challenges : 0.48, and : 0.56, future : 0, directions : 0.62, nephelium : 0.48, lappaceum : 0.48, l : 0, is : 0.65, a : 0, tropical : 0.49, widely : 0.5, cultivated : 0.46, in : 0.91, southeast : 0, asia : 0, including : 0.84, indonesia : 0.7, manual : 0.5, types : 0, ripeness : 0.64, levels : 0, remains : 0, challenge : 0.48, due : 0, to : 0, high : 0.53, subjectivity : 0.47, time : 0.53, intensive : 0.7, nature : 0.5, process : 0.49, particularly : 0.61, large : 0, scale : 0.51, agricultural : 0.61, operations : 0, network : 0.49, cnn : 0.56, deep : 0, learning : 0.49, approach : 0, offers : 0, significant : 0.62, potential : 0.48, automating : 0, improving : 0.53, accuracy : 0.49, tasks : 0, by : 0, extracting : 0.48, complex : 0.49, visual : 0.5, features : 0, such : 0.53, 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 : 0.49, identify : 0.67, trends : 0.5, utilizing : 0.48, purpose : 0, results : 0, demonstrate : 0.47, that : 0, achieves : 0.47, superior : 0, 90 : 0, compared : 0.49, traditional : 0.47, methods : 0, like : 0.53, k : 0, nearest : 0.49, neighbor : 0.47, knn : 0.56, however : 0, limitations : 0.47, include : 0.87, restricted : 0.48, dataset : 0, diversity : 0.48, insufficient : 0.8, testing : 0, under : 0.51, real : 0, world : 0, conditions : 0.66, recommendations : 0.43, emphasize : 0, need : 0.53, larger : 0, more : 0, diverse : 0.49, datasets : 0, integration : 0.69, additional : 0.48, media : 0, spectral : 0.49, data : 0, video : 0.51, enhance : 0.49, model : 0, robustness : 0 |
| 90. nav | 130 words | 0.73 | systematic : 0, literature : 0.48, review : 0.5, on : 0, the : 0, application : 0.47, of : 0, convolutional : 0.61, neural : 0.55, networks : 0.54, for : 0, rambutan : 0.49, fruit : 0, classification : 0.47, advances : 0.64, challenges : 0.48, and : 0, future : 0, directions : 0, nephelium : 0.53, lappaceum : 0.48, l : 0, is : 0, a : 0, tropical : 0, widely : 0, cultivated : 0.48, in : 0, southeast : 0, asia : 0.53, including : 0.48, indonesia : 0.48, manual : 0.5, types : 0, ripeness : 0, levels : 0.5, remains : 0.49, challenge : 0.48, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0.48, nature : 0.73, process : 0, particularly : 0.47, large : 0.51, scale : 0.51, agricultural : 0.47, operations : 0.48, network : 0.54, cnn : 0, deep : 0, learning : 0.49, approach : 0.49, offers : 0, significant : 0.47, potential : 0, automating : 0.48, improving : 0.48, accuracy : 0.49, tasks : 0.51, by : 0, extracting : 0.48, complex : 0, visual : 0.5, features : 0.49, such : 0, as : 0, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0, evaluate : 0.47, relevant : 0.49, research : 0.49, from : 0, 2019 : 0, 2024 : 0, was : 0.56, analyzed : 0.47, identify : 0.49, trends : 0, utilizing : 0, purpose : 0, results : 0, demonstrate : 0.47, that : 0.53, achieves : 0.64, superior : 0, 90 : 0, compared : 0.49, traditional : 0.47, methods : 0, like : 0, k : 0, nearest : 0.69, neighbor : 0.54, knn : 0, however : 0.49, limitations : 0.47, include : 0.49, restricted : 0, dataset : 0.49, diversity : 0.48, insufficient : 0.47, testing : 0, under : 0.51, real : 0.53, world : 0, conditions : 0.48, recommendations : 0, emphasize : 0.48, need : 0.58, larger : 0.5, more : 0, diverse : 0.49, datasets : 0.49, integration : 0.47, additional : 0.48, media : 0, spectral : 0, data : 0.53, video : 0, enhance : 0.65, model : 0, robustness : 0 |
| 91. echo | 130 words | 0.73 | systematic : 0.45, literature : 0.45, review : 0.47, on : 0, the : 0.53, application : 0.45, of : 0, convolutional : 0.55, neural : 0.47, networks : 0.58, for : 0, rambutan : 0, fruit : 0, classification : 0.44, advances : 0, challenges : 0.57, and : 0, future : 0, directions : 0.68, nephelium : 0.57, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.46, widely : 0, cultivated : 0.45, in : 0, southeast : 0.41, asia : 0, including : 0.45, indonesia : 0.45, manual : 0, types : 0, ripeness : 0.46, levels : 0.47, remains : 0.46, challenge : 0.57, due : 0, to : 0, high : 0.5, subjectivity : 0.56, time : 0, intensive : 0.45, nature : 0, process : 0.43, particularly : 0.44, large : 0, scale : 0.48, agricultural : 0.44, operations : 0.4, network : 0.6, cnn : 0.53, deep : 0.5, learning : 0.46, approach : 0.46, offers : 0, significant : 0, potential : 0.41, automating : 0.45, improving : 0.45, accuracy : 0.46, tasks : 0, by : 0, extracting : 0.61, complex : 0.6, visual : 0, features : 0.46, such : 0.67, as : 0, color : 0.63, texture : 0.46, this : 0.5, study : 0, employs : 0.64, slr : 0, evaluate : 0.51, relevant : 0.46, research : 0.46, from : 0.5, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.46, trends : 0.47, utilizing : 0, purpose : 0.46, results : 0.46, demonstrate : 0.56, that : 0.5, achieves : 0.58, superior : 0.58, 90 : 0, compared : 0.58, traditional : 0.45, methods : 0.73, like : 0, k : 0, nearest : 0.46, neighbor : 0.71, knn : 0, however : 0.6, limitations : 0, include : 0.46, restricted : 0.45, dataset : 0, diversity : 0.45, insufficient : 0, testing : 0.46, under : 0, real : 0.5, world : 0, conditions : 0.57, recommendations : 0.65, emphasize : 0.62, need : 0.5, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0.45, additional : 0.45, media : 0.48, spectral : 0.58, data : 0, video : 0.48, enhance : 0.64, model : 0, robustness : 0.45 |
| 92. session | 130 words | 0.72 | systematic : 0.62, literature : 0.33, review : 0.54, on : 0, the : 0.49, application : 0.57, of : 0, convolutional : 0.39, neural : 0.44, networks : 0.51, for : 0, rambutan : 0.42, fruit : 0.45, classification : 0.55, advances : 0.42, challenges : 0.5, and : 0, future : 0, directions : 0.57, nephelium : 0.5, lappaceum : 0, l : 0, is : 0.55, a : 0, tropical : 0.35, widely : 0.44, cultivated : 0.41, in : 0, southeast : 0.48, asia : 0.6, including : 0.5, indonesia : 0.51, manual : 0, types : 0.56, ripeness : 0.52, levels : 0.54, remains : 0.62, challenge : 0.42, due : 0.49, to : 0, high : 0, subjectivity : 0.6, time : 0.46, intensive : 0.55, nature : 0, process : 0.43, particularly : 0.41, large : 0, scale : 0.5, agricultural : 0.41, operations : 0.66, network : 0.52, cnn : 0, deep : 0.46, learning : 0.49, approach : 0.42, offers : 0.54, significant : 0.61, potential : 0.48, automating : 0.47, improving : 0.48, accuracy : 0, tasks : 0.56, by : 0, extracting : 0.58, complex : 0, visual : 0.44, features : 0.42, such : 0.52, as : 0.55, color : 0.45, texture : 0.43, this : 0.43, study : 0.5, employs : 0.52, slr : 0.54, evaluate : 0.42, relevant : 0.51, research : 0.35, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0, identify : 0.49, trends : 0.54, utilizing : 0.5, purpose : 0.36, results : 0.36, demonstrate : 0.52, that : 0, achieves : 0.35, superior : 0.72, 90 : 0, compared : 0, traditional : 0.57, methods : 0.52, like : 0.46, k : 0, nearest : 0.52, neighbor : 0.6, knn : 0, however : 0.43, limitations : 0.57, include : 0, restricted : 0.47, dataset : 0.43, diversity : 0.42, insufficient : 0.39, testing : 0.63, under : 0.45, real : 0.46, world : 0, conditions : 0.41, recommendations : 0.54, emphasize : 0.59, need : 0.46, larger : 0, more : 0.46, diverse : 0.52, datasets : 0.42, integration : 0.56, additional : 0.58, media : 0.56, spectral : 0.56, data : 0, video : 0.56, enhance : 0.52, model : 0.45, robustness : 0.47 |
| 93. flashdata | 130 words | 0.74 | systematic : 0.38, literature : 0.54, review : 0, on : 0, the : 0.48, application : 0.52, of : 0.54, convolutional : 0.41, neural : 0.43, networks : 0, for : 0.53, rambutan : 0.46, fruit : 0.59, classification : 0.59, advances : 0.49, challenges : 0.43, and : 0.63, future : 0.48, directions : 0.4, nephelium : 0.41, lappaceum : 0.56, l : 0.7, is : 0.54, a : 0.7, tropical : 0.41, widely : 0.35, cultivated : 0.49, in : 0, southeast : 0.63, asia : 0.69, including : 0.48, indonesia : 0.44, manual : 0.52, types : 0.44, ripeness : 0.41, levels : 0.52, remains : 0.5, challenge : 0.44, due : 0, to : 0, high : 0.45, subjectivity : 0.46, time : 0, intensive : 0.41, nature : 0.43, process : 0.42, particularly : 0.42, large : 0.54, scale : 0.53, agricultural : 0.43, operations : 0.47, network : 0, cnn : 0, deep : 0, learning : 0.49, approach : 0.46, offers : 0.52, significant : 0.54, potential : 0.31, automating : 0.54, improving : 0, accuracy : 0.49, tasks : 0.54, by : 0, extracting : 0.47, complex : 0.42, visual : 0.35, features : 0.54, such : 0.57, as : 0.74, color : 0.44, texture : 0, this : 0.41, study : 0.54, employs : 0.5, slr : 0.46, evaluate : 0.56, relevant : 0.57, research : 0.46, from : 0.51, 2019 : 0, 2024 : 0, was : 0.63, analyzed : 0.46, identify : 0.41, trends : 0.35, utilizing : 0.41, purpose : 0.42, results : 0.48, demonstrate : 0.42, that : 0.41, achieves : 0.49, superior : 0.41, 90 : 0, compared : 0.49, traditional : 0.52, methods : 0.42, like : 0.45, k : 0, nearest : 0.59, neighbor : 0.41, knn : 0, however : 0, limitations : 0.42, include : 0.5, restricted : 0.43, dataset : 0.59, diversity : 0.48, insufficient : 0.42, testing : 0.42, under : 0.44, real : 0.41, world : 0.54, conditions : 0.47, recommendations : 0.51, emphasize : 0.39, need : 0.45, larger : 0.52, more : 0, diverse : 0.42, datasets : 0.56, integration : 0.47, additional : 0.53, media : 0.37, spectral : 0.46, data : 0.57, video : 0.44, enhance : 0.34, model : 0.37, robustness : 0.47 |
| 94. pesen | 130 words | 0.68 | systematic : 0.37, literature : 0.43, review : 0.58, on : 0, the : 0.51, application : 0.43, of : 0, convolutional : 0.43, neural : 0.46, networks : 0.44, for : 0, rambutan : 0.44, fruit : 0, classification : 0.42, advances : 0.38, challenges : 0.53, and : 0, future : 0.46, directions : 0.53, nephelium : 0.53, lappaceum : 0.54, l : 0, is : 0.57, a : 0, tropical : 0.44, widely : 0.46, cultivated : 0, in : 0, southeast : 0.54, asia : 0.48, including : 0.44, indonesia : 0.37, manual : 0.46, types : 0.47, ripeness : 0.68, levels : 0.58, remains : 0.56, challenge : 0.54, due : 0.51, to : 0, high : 0, subjectivity : 0.36, time : 0.48, intensive : 0.48, nature : 0.46, process : 0.61, particularly : 0.49, large : 0.47, scale : 0.47, agricultural : 0, operations : 0.63, network : 0.45, cnn : 0, deep : 0.63, learning : 0.55, approach : 0.44, offers : 0.46, significant : 0.53, potential : 0.68, automating : 0.43, improving : 0.54, accuracy : 0, tasks : 0.47, by : 0, extracting : 0.53, complex : 0.45, visual : 0.46, features : 0.55, such : 0, as : 0.57, color : 0, texture : 0.45, this : 0.48, study : 0, employs : 0.4, slr : 0, evaluate : 0.44, relevant : 0.66, research : 0.66, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.38, identify : 0.55, trends : 0.58, utilizing : 0.44, purpose : 0.5, results : 0.56, demonstrate : 0.51, that : 0, achieves : 0.55, superior : 0.49, 90 : 0, compared : 0.55, traditional : 0.43, methods : 0.45, like : 0.48, k : 0, nearest : 0.56, neighbor : 0.44, knn : 0, however : 0.56, limitations : 0, include : 0, restricted : 0.53, dataset : 0.56, diversity : 0.54, insufficient : 0.36, testing : 0.68, under : 0.47, real : 0.48, world : 0, conditions : 0.43, recommendations : 0.6, emphasize : 0.53, need : 0.63, larger : 0.46, more : 0.48, diverse : 0.45, datasets : 0.55, integration : 0.36, additional : 0.43, media : 0.47, spectral : 0.49, data : 0, video : 0.47, enhance : 0.56, model : 0.47, robustness : 0.52 |
| 95. unset | 130 words | 0.79 | systematic : 0.52, literature : 0.37, review : 0.46, on : 0.57, the : 0.51, application : 0.43, of : 0, convolutional : 0.52, neural : 0.53, networks : 0.66, for : 0, rambutan : 0.44, fruit : 0.47, classification : 0.51, advances : 0.55, challenges : 0.43, and : 0.51, future : 0.59, directions : 0.53, nephelium : 0.54, lappaceum : 0.44, l : 0, is : 0.57, a : 0, tropical : 0, widely : 0.46, cultivated : 0.53, in : 0.57, southeast : 0.58, asia : 0.48, including : 0.44, indonesia : 0.54, manual : 0.46, types : 0.47, ripeness : 0.38, levels : 0.46, remains : 0.45, challenge : 0.44, due : 0.69, to : 0, high : 0, subjectivity : 0.63, time : 0.48, intensive : 0.66, nature : 0.59, process : 0.45, particularly : 0.43, large : 0.47, scale : 0.47, agricultural : 0.52, operations : 0.53, network : 0.68, cnn : 0.51, deep : 0.48, learning : 0.38, approach : 0, offers : 0.46, significant : 0.36, potential : 0.53, automating : 0.53, improving : 0, accuracy : 0.44, tasks : 0.47, by : 0, extracting : 0.53, complex : 0.45, visual : 0.46, features : 0.55, such : 0.48, as : 0.57, color : 0, texture : 0.56, this : 0.48, study : 0, employs : 0, slr : 0, evaluate : 0.55, relevant : 0.55, research : 0.38, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.55, identify : 0.55, trends : 0.41, utilizing : 0.59, purpose : 0.45, results : 0.57, demonstrate : 0.6, that : 0.48, achieves : 0.44, superior : 0.55, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0.56, like : 0.48, k : 0, nearest : 0.68, neighbor : 0.55, knn : 0.51, however : 0.45, limitations : 0.43, include : 0.45, restricted : 0.52, dataset : 0.51, diversity : 0.53, insufficient : 0.45, testing : 0.57, under : 0.79, real : 0, world : 0, conditions : 0.53, recommendations : 0.49, emphasize : 0.37, need : 0.63, larger : 0.46, more : 0.48, diverse : 0.45, datasets : 0.49, integration : 0.51, additional : 0.43, media : 0, spectral : 0.66, data : 0, video : 0.47, enhance : 0.45, model : 0.47, robustness : 0.65 |
| 96. form | 130 words | 0.94 | systematic : 0.45, literature : 0.45, review : 0.47, on : 0.58, the : 0, application : 0, of : 0.67, convolutional : 0.44, neural : 0.47, networks : 0.58, for : 0.94, rambutan : 0.58, fruit : 0.67, classification : 0.44, advances : 0, challenges : 0, and : 0, future : 0.65, directions : 0.45, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0, cultivated : 0, in : 0, southeast : 0.45, asia : 0, including : 0, indonesia : 0.45, manual : 0, types : 0, ripeness : 0.46, levels : 0, remains : 0.6, challenge : 0, due : 0, to : 0.58, high : 0, subjectivity : 0, time : 0.5, intensive : 0, nature : 0.47, process : 0.43, particularly : 0.44, large : 0.48, scale : 0, agricultural : 0.44, operations : 0.57, network : 0, cnn : 0, deep : 0, learning : 0.46, approach : 0.42, offers : 0.64, significant : 0, potential : 0.45, automating : 0.57, improving : 0.58, accuracy : 0.46, tasks : 0, by : 0, extracting : 0.45, complex : 0.6, visual : 0, features : 0.63, such : 0, as : 0, color : 0.48, texture : 0, this : 0, study : 0, employs : 0.46, slr : 0.53, evaluate : 0, relevant : 0.46, research : 0.46, from : 0.92, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0, trends : 0.47, utilizing : 0, purpose : 0.46, results : 0.46, demonstrate : 0.39, that : 0, achieves : 0, 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 : 0.45, include : 0, restricted : 0.45, dataset : 0, diversity : 0.45, insufficient : 0.44, testing : 0, under : 0, real : 0, world : 0.63, conditions : 0.45, recommendations : 0.54, emphasize : 0.45, need : 0, larger : 0.47, more : 0.67, diverse : 0.46, datasets : 0, integration : 0.45, additional : 0, media : 0, spectral : 0.46, data : 0, video : 0, enhance : 0, model : 0.48, robustness : 0.4 |
| 97. method | 130 words | 0.97 | systematic : 0.34, literature : 0.34, review : 0.44, on : 0, the : 0.67, application : 0, of : 0, convolutional : 0.33, neural : 0.44, networks : 0.63, for : 0, rambutan : 0.53, fruit : 0.46, classification : 0, advances : 0, challenges : 0.34, and : 0, future : 0.44, directions : 0.6, nephelium : 0.52, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.53, widely : 0.44, cultivated : 0.51, in : 0, southeast : 0.44, asia : 0, including : 0.43, indonesia : 0.35, manual : 0.5, types : 0.41, ripeness : 0.43, levels : 0.44, remains : 0.37, challenge : 0.43, due : 0.5, to : 0.56, high : 0.47, subjectivity : 0.5, time : 0.58, intensive : 0.35, nature : 0.44, process : 0.44, particularly : 0.42, large : 0, scale : 0, agricultural : 0.42, operations : 0.43, network : 0.64, cnn : 0, deep : 0.47, learning : 0.43, approach : 0.43, offers : 0.44, significant : 0, potential : 0.5, automating : 0.43, improving : 0.52, accuracy : 0, tasks : 0.46, by : 0, extracting : 0.51, complex : 0.44, visual : 0, features : 0.53, such : 0.47, as : 0, color : 0.46, texture : 0.37, this : 0.61, study : 0.58, employs : 0.53, slr : 0, evaluate : 0.43, relevant : 0.43, research : 0.43, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0.53, trends : 0.56, utilizing : 0.43, purpose : 0.44, results : 0.44, demonstrate : 0.51, that : 0.61, achieves : 0.36, superior : 0.53, 90 : 0, compared : 0.51, traditional : 0.48, methods : 0.97, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.63, knn : 0, however : 0.44, limitations : 0.59, include : 0.44, restricted : 0.6, dataset : 0.44, diversity : 0.43, insufficient : 0, testing : 0.37, under : 0.46, real : 0.47, world : 0.46, conditions : 0.43, recommendations : 0.52, emphasize : 0.5, need : 0.61, larger : 0, more : 0.65, diverse : 0.44, datasets : 0.43, integration : 0.34, additional : 0.43, media : 0.66, spectral : 0.53, data : 0.47, video : 0.58, enhance : 0.54, model : 0.62, robustness : 0.34 |
| 98. post | 130 words | 0.76 | systematic : 0.57, literature : 0.45, review : 0, on : 0.58, the : 0, application : 0.56, of : 0.58, convolutional : 0.55, neural : 0, networks : 0.42, for : 0.53, rambutan : 0.46, fruit : 0.48, classification : 0.44, advances : 0, challenges : 0, and : 0, future : 0.47, directions : 0.45, nephelium : 0.45, lappaceum : 0.45, l : 0, is : 0.58, a : 0, tropical : 0.6, widely : 0, cultivated : 0.45, in : 0, southeast : 0.58, asia : 0.5, including : 0, indonesia : 0.45, manual : 0, types : 0, ripeness : 0.46, levels : 0, remains : 0, challenge : 0, due : 0, to : 0.58, high : 0, subjectivity : 0.56, time : 0, intensive : 0.41, nature : 0.47, process : 0.64, particularly : 0.6, large : 0, scale : 0, agricultural : 0.44, operations : 0.57, network : 0.46, cnn : 0, deep : 0, learning : 0, approach : 0.58, offers : 0.47, significant : 0.45, potential : 0.76, automating : 0.4, improving : 0.57, accuracy : 0, tasks : 0.48, by : 0, extracting : 0.45, complex : 0.46, visual : 0.47, features : 0.46, such : 0, as : 0.58, color : 0.48, texture : 0.46, this : 0.5, study : 0, employs : 0.46, slr : 0, evaluate : 0.46, relevant : 0, research : 0.46, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0, identify : 0.46, trends : 0, utilizing : 0.45, purpose : 0.52, results : 0.6, demonstrate : 0.67, that : 0.5, achieves : 0, superior : 0.42, 90 : 0, compared : 0.42, traditional : 0.45, methods : 0.46, like : 0, k : 0, nearest : 0, neighbor : 0, knn : 0, however : 0.46, limitations : 0.45, include : 0, restricted : 0.57, dataset : 0.43, diversity : 0.45, insufficient : 0.44, testing : 0.6, under : 0, real : 0, world : 0.48, conditions : 0.57, recommendations : 0.44, emphasize : 0.57, need : 0, larger : 0, more : 0.5, diverse : 0, datasets : 0.42, integration : 0.45, additional : 0.45, media : 0, spectral : 0.6, data : 0.5, video : 0, enhance : 0, model : 0.48, robustness : 0.68 |
| 99. action | 130 words | 0.75 | systematic : 0.42, literature : 0.34, review : 0.44, on : 0, the : 0.5, application : 0.53, of : 0, convolutional : 0.61, neural : 0, networks : 0.53, for : 0, rambutan : 0.63, fruit : 0.41, classification : 0.46, advances : 0.58, challenges : 0.49, and : 0.55, future : 0.44, directions : 0.68, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0, a : 0.75, tropical : 0.51, widely : 0.44, cultivated : 0.6, in : 0, southeast : 0.35, asia : 0.65, including : 0.5, indonesia : 0.61, manual : 0.44, types : 0.46, ripeness : 0.53, levels : 0, remains : 0.54, challenge : 0.5, due : 0, to : 0.56, high : 0.47, subjectivity : 0.58, time : 0.61, intensive : 0.5, nature : 0.56, process : 0.37, particularly : 0.54, large : 0.46, scale : 0.41, agricultural : 0.59, operations : 0.64, network : 0.54, cnn : 0.5, deep : 0, learning : 0.51, approach : 0.58, offers : 0, significant : 0.51, potential : 0.54, automating : 0.74, improving : 0.61, accuracy : 0.62, tasks : 0.41, by : 0, extracting : 0.68, complex : 0.44, visual : 0.44, features : 0.53, such : 0.47, as : 0.6, color : 0.58, texture : 0.44, this : 0.61, study : 0.46, employs : 0.44, slr : 0, evaluate : 0.43, relevant : 0.43, research : 0, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0.49, identify : 0.46, trends : 0.56, utilizing : 0.61, purpose : 0.44, results : 0, demonstrate : 0.42, that : 0.44, achieves : 0.7, superior : 0.53, 90 : 0, compared : 0.53, traditional : 0.7, methods : 0.54, like : 0.47, k : 0, nearest : 0.44, neighbor : 0.53, knn : 0, however : 0, limitations : 0.59, include : 0.44, restricted : 0.51, dataset : 0.54, diversity : 0.43, insufficient : 0.5, testing : 0.64, under : 0, real : 0.47, world : 0, conditions : 0.64, recommendations : 0.57, emphasize : 0.43, need : 0, larger : 0.44, more : 0, diverse : 0.44, datasets : 0.53, integration : 0.42, additional : 0.74, media : 0.46, spectral : 0.53, data : 0.61, video : 0.58, enhance : 0.44, model : 0, robustness : 0.49 |
| 100. card | 130 words | 0.75 | systematic : 0, literature : 0.4, review : 0.47, on : 0, the : 0, application : 0.45, of : 0, convolutional : 0.5, neural : 0.47, networks : 0.46, for : 0.53, rambutan : 0.42, fruit : 0.48, classification : 0.59, advances : 0.58, challenges : 0.61, and : 0.72, future : 0.47, directions : 0.57, nephelium : 0, lappaceum : 0.45, l : 0, is : 0, a : 0.75, tropical : 0.46, widely : 0.47, cultivated : 0.51, in : 0, southeast : 0, asia : 0.5, including : 0.57, indonesia : 0.45, manual : 0.47, 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 : 0.5, large : 0.63, scale : 0.63, agricultural : 0.5, operations : 0.4, network : 0, cnn : 0.58, deep : 0, learning : 0.58, approach : 0.58, offers : 0.47, significant : 0, potential : 0, automating : 0.45, improving : 0.45, accuracy : 0.6, tasks : 0.48, by : 0, extracting : 0.4, complex : 0.52, visual : 0, features : 0.58, such : 0, as : 0.58, color : 0.54, texture : 0, this : 0, study : 0.48, employs : 0, slr : 0.53, evaluate : 0.46, relevant : 0.46, research : 0.42, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.46, identify : 0.46, trends : 0.61, utilizing : 0, purpose : 0.46, results : 0.46, demonstrate : 0.45, that : 0.5, achieves : 0.42, superior : 0.46, 90 : 0, compared : 0.74, traditional : 0.56, methods : 0.46, like : 0, k : 0, nearest : 0.6, neighbor : 0, knn : 0, however : 0, limitations : 0.45, include : 0.6, restricted : 0.45, dataset : 0.46, diversity : 0.41, insufficient : 0, testing : 0, under : 0.48, real : 0.5, world : 0.63, conditions : 0.61, recommendations : 0.54, emphasize : 0.45, need : 0.5, larger : 0.61, more : 0.5, diverse : 0.46, datasets : 0.42, integration : 0.45, additional : 0.57, media : 0.48, spectral : 0.58, data : 0.5, video : 0.48, enhance : 0.46, model : 0.48, robustness : 0.45 |
| 101. similarity | 130 words | 0.79 | systematic : 0.64, literature : 0.53, review : 0.42, on : 0, the : 0, application : 0.52, of : 0, convolutional : 0.34, neural : 0.49, networks : 0.41, for : 0.48, rambutan : 0.45, fruit : 0.53, classification : 0.57, advances : 0.41, challenges : 0.3, and : 0, future : 0.42, directions : 0.48, nephelium : 0.31, lappaceum : 0.47, l : 0.7, is : 0.57, a : 0, tropical : 0.45, widely : 0.6, cultivated : 0.52, in : 0.53, southeast : 0.59, asia : 0.68, including : 0.43, indonesia : 0.54, manual : 0.49, types : 0.43, ripeness : 0.41, levels : 0.42, remains : 0.41, challenge : 0.31, due : 0, to : 0, high : 0.45, subjectivity : 0.62, time : 0.57, intensive : 0.47, nature : 0.51, process : 0, particularly : 0.56, large : 0.63, scale : 0.57, agricultural : 0.51, operations : 0.48, network : 0.41, cnn : 0, deep : 0, learning : 0.47, approach : 0.32, offers : 0.42, significant : 0.73, potential : 0.49, automating : 0.48, improving : 0.53, accuracy : 0.45, tasks : 0.37, by : 0, extracting : 0.48, complex : 0.5, visual : 0.52, features : 0.48, such : 0.51, as : 0.53, color : 0.53, texture : 0.41, this : 0.4, study : 0.49, employs : 0.58, slr : 0.79, evaluate : 0.45, relevant : 0.56, research : 0.56, from : 0.45, 2019 : 0, 2024 : 0, was : 0.46, analyzed : 0.32, identify : 0.55, trends : 0, utilizing : 0.53, purpose : 0.41, results : 0.58, demonstrate : 0.5, that : 0.45, achieves : 0.41, superior : 0.5, 90 : 0, compared : 0.56, traditional : 0.46, methods : 0.41, like : 0.4, k : 0, nearest : 0.58, neighbor : 0.48, knn : 0, however : 0.41, limitations : 0.61, include : 0.5, restricted : 0.52, dataset : 0.47, diversity : 0.62, insufficient : 0.57, testing : 0.5, under : 0.43, real : 0.4, world : 0.37, conditions : 0.42, recommendations : 0.44, emphasize : 0.43, need : 0, larger : 0.6, more : 0.57, diverse : 0.5, datasets : 0.45, integration : 0.52, additional : 0.48, media : 0.52, spectral : 0.62, data : 0.45, video : 0.43, enhance : 0.41, model : 0.53, robustness : 0.47 |
| 102. checker | 130 words | 0.74 | systematic : 0.41, literature : 0.47, review : 0.54, on : 0, the : 0.65, application : 0.41, of : 0, convolutional : 0.47, neural : 0.44, networks : 0.49, for : 0, rambutan : 0, fruit : 0, classification : 0.53, advances : 0.51, challenges : 0.73, and : 0, future : 0.37, directions : 0.47, nephelium : 0.48, lappaceum : 0.5, l : 0, is : 0, a : 0, tropical : 0.42, widely : 0.44, cultivated : 0.55, in : 0, southeast : 0.5, asia : 0, including : 0.42, indonesia : 0.42, manual : 0, types : 0.45, ripeness : 0.51, levels : 0.54, remains : 0.43, challenge : 0.74, due : 0.49, to : 0, high : 0.46, subjectivity : 0.32, time : 0.46, intensive : 0.5, nature : 0.37, process : 0.36, particularly : 0.32, large : 0.45, scale : 0.56, agricultural : 0.32, operations : 0.5, network : 0.51, cnn : 0.54, deep : 0.46, learning : 0.51, approach : 0.35, offers : 0.54, significant : 0.41, potential : 0.42, automating : 0, improving : 0.42, accuracy : 0.6, tasks : 0.45, by : 0, extracting : 0.47, complex : 0.57, visual : 0, features : 0.49, such : 0.6, as : 0, color : 0.61, texture : 0.51, this : 0.46, study : 0, employs : 0.43, slr : 0, evaluate : 0.51, relevant : 0.51, research : 0.57, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.42, identify : 0.42, trends : 0.44, utilizing : 0, purpose : 0.43, results : 0.43, demonstrate : 0.49, that : 0.46, achieves : 0.69, superior : 0.51, 90 : 0, compared : 0.54, traditional : 0, methods : 0.36, like : 0.43, k : 0, nearest : 0.52, neighbor : 0.49, knn : 0, however : 0.71, limitations : 0, include : 0.52, restricted : 0.53, dataset : 0.43, diversity : 0.5, insufficient : 0.48, testing : 0.43, under : 0.56, real : 0.46, world : 0, conditions : 0.47, recommendations : 0.49, emphasize : 0.48, need : 0.46, larger : 0.54, more : 0.46, diverse : 0.51, datasets : 0.42, integration : 0.49, additional : 0, media : 0.45, spectral : 0.49, data : 0, video : 0.45, enhance : 0.63, model : 0.45, robustness : 0.41 |
| 103. input | 130 words | 0.84 | systematic : 0.43, literature : 0.52, review : 0, on : 0.57, the : 0, application : 0.51, of : 0, convolutional : 0.61, neural : 0.58, networks : 0.55, for : 0, rambutan : 0.55, fruit : 0.6, classification : 0.51, advances : 0.44, challenges : 0, and : 0.51, future : 0.58, directions : 0.53, nephelium : 0.54, lappaceum : 0.44, l : 0, is : 0.61, a : 0, tropical : 0.44, widely : 0.46, cultivated : 0.47, in : 0.84, southeast : 0.54, asia : 0, including : 0.72, indonesia : 0.63, manual : 0.58, types : 0.47, ripeness : 0.55, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0.48, subjectivity : 0.52, time : 0.48, intensive : 0.72, nature : 0.59, process : 0.45, particularly : 0.54, large : 0, scale : 0, agricultural : 0.62, operations : 0.53, network : 0.56, cnn : 0.51, deep : 0.48, learning : 0.44, approach : 0.44, offers : 0, significant : 0.53, potential : 0.48, automating : 0.53, improving : 0.59, accuracy : 0.44, tasks : 0, by : 0, extracting : 0.43, complex : 0.45, visual : 0.58, features : 0.38, such : 0, as : 0, color : 0, texture : 0.4, this : 0, study : 0.47, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.44, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.69, trends : 0.46, utilizing : 0.48, purpose : 0.56, results : 0.56, demonstrate : 0.53, that : 0.48, achieves : 0.44, superior : 0.38, 90 : 0, compared : 0.44, traditional : 0.36, methods : 0.45, like : 0.48, k : 0, nearest : 0.56, neighbor : 0.38, knn : 0.51, however : 0, limitations : 0.53, include : 0.74, restricted : 0.43, dataset : 0.45, diversity : 0.54, insufficient : 0.69, testing : 0.45, under : 0.47, real : 0, world : 0, conditions : 0.52, recommendations : 0.51, emphasize : 0.44, need : 0.48, larger : 0, more : 0, diverse : 0.45, datasets : 0.44, integration : 0.7, additional : 0.53, media : 0, spectral : 0.55, data : 0, video : 0.47, enhance : 0.45, model : 0, robustness : 0.53 |
| 104. control | 130 words | 0.82 | systematic : 0.41, literature : 0.5, review : 0, on : 0.76, the : 0, application : 0.4, of : 0.55, convolutional : 0.78, neural : 0.64, networks : 0.57, for : 0.65, rambutan : 0.42, fruit : 0.45, classification : 0.53, advances : 0.42, challenges : 0.52, and : 0.49, future : 0.54, directions : 0.53, nephelium : 0.5, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.57, widely : 0.44, cultivated : 0.52, in : 0.55, southeast : 0.5, asia : 0, including : 0.48, indonesia : 0.34, manual : 0.54, types : 0, ripeness : 0.42, levels : 0.44, remains : 0, challenge : 0.55, due : 0, to : 0.55, high : 0, subjectivity : 0.48, time : 0, intensive : 0.5, nature : 0.64, process : 0.43, particularly : 0.55, large : 0.45, scale : 0.45, agricultural : 0.47, operations : 0.57, network : 0.63, cnn : 0.69, deep : 0, learning : 0.35, approach : 0.35, offers : 0.54, significant : 0.41, potential : 0.59, automating : 0.33, improving : 0.34, accuracy : 0.51, tasks : 0, by : 0, extracting : 0.5, complex : 0.7, visual : 0.44, features : 0.51, such : 0.46, as : 0, color : 0.77, texture : 0.52, this : 0, study : 0.45, employs : 0.43, slr : 0.49, evaluate : 0.35, relevant : 0, research : 0.42, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.51, identify : 0.51, trends : 0.44, utilizing : 0.5, purpose : 0.52, results : 0.36, demonstrate : 0.65, that : 0.46, achieves : 0.42, superior : 0.51, 90 : 0, compared : 0.68, traditional : 0.65, methods : 0.52, like : 0, k : 0, nearest : 0.52, neighbor : 0.49, knn : 0.49, however : 0.52, limitations : 0.49, include : 0.36, restricted : 0.33, dataset : 0.43, diversity : 0.42, insufficient : 0.41, testing : 0.43, under : 0.56, real : 0, world : 0.56, conditions : 0.82, recommendations : 0.45, emphasize : 0, need : 0.46, larger : 0.44, more : 0.6, diverse : 0.43, datasets : 0.42, integration : 0.65, additional : 0.58, media : 0, spectral : 0.69, data : 0.46, video : 0.45, enhance : 0.43, model : 0.56, robustness : 0.53 |
| 105. placeholder | 130 words | 0.7 | systematic : 0.29, literature : 0.52, review : 0.42, on : 0, the : 0.45, application : 0.54, of : 0, convolutional : 0.43, neural : 0.48, networks : 0.48, for : 0, rambutan : 0.41, fruit : 0, classification : 0.42, advances : 0.55, challenges : 0.64, and : 0.47, future : 0.42, directions : 0.41, nephelium : 0.44, lappaceum : 0.57, l : 0.7, is : 0, a : 0.7, tropical : 0.59, widely : 0.34, cultivated : 0.55, in : 0, southeast : 0.42, asia : 0.45, including : 0.42, indonesia : 0.3, manual : 0.34, types : 0.53, ripeness : 0.55, levels : 0.59, remains : 0.32, challenge : 0.66, due : 0.47, to : 0, high : 0.45, subjectivity : 0.28, time : 0.45, intensive : 0.47, nature : 0.51, process : 0.57, particularly : 0.66, large : 0.62, scale : 0.64, agricultural : 0.46, operations : 0.5, network : 0.49, cnn : 0.47, deep : 0.39, learning : 0.44, approach : 0.53, offers : 0.42, significant : 0.39, potential : 0.58, automating : 0.46, improving : 0.47, accuracy : 0.48, tasks : 0.43, by : 0, extracting : 0.36, complex : 0.52, visual : 0.34, features : 0.44, such : 0.56, as : 0.53, color : 0.51, texture : 0.49, this : 0.45, study : 0, employs : 0.52, slr : 0.47, evaluate : 0.54, relevant : 0.38, research : 0.5, from : 0.45, 2019 : 0, 2024 : 0, was : 0.47, analyzed : 0.54, identify : 0.41, trends : 0.51, utilizing : 0.4, purpose : 0.51, results : 0.32, demonstrate : 0.49, that : 0.39, achieves : 0.63, superior : 0.62, 90 : 0, compared : 0.59, traditional : 0.52, methods : 0.65, like : 0.56, k : 0, nearest : 0.32, neighbor : 0.62, knn : 0, however : 0.57, limitations : 0.52, include : 0.48, restricted : 0.42, dataset : 0.49, diversity : 0.4, insufficient : 0.45, testing : 0.41, under : 0.43, real : 0.56, world : 0.53, conditions : 0.46, recommendations : 0.46, emphasize : 0.54, need : 0.45, larger : 0.59, more : 0.45, diverse : 0.49, datasets : 0.48, integration : 0.4, additional : 0.52, media : 0.36, spectral : 0.63, data : 0.45, video : 0.53, enhance : 0.59, model : 0.36, robustness : 0.4 |
| 106. required | 130 words | 0.78 | systematic : 0.48, literature : 0.7, review : 0.78, on : 0, the : 0.49, application : 0.41, of : 0, convolutional : 0.47, neural : 0.46, networks : 0.5, for : 0.49, rambutan : 0.55, fruit : 0.66, classification : 0.4, advances : 0.42, challenges : 0.48, and : 0, future : 0.63, directions : 0.39, nephelium : 0.46, lappaceum : 0.41, l : 0, is : 0, a : 0, tropical : 0.5, widely : 0.36, cultivated : 0.63, in : 0, southeast : 0.49, asia : 0.46, including : 0.46, indonesia : 0.32, manual : 0.43, types : 0.44, ripeness : 0.63, levels : 0.53, remains : 0.68, challenge : 0.41, due : 0.47, to : 0, high : 0.46, subjectivity : 0.43, time : 0.42, intensive : 0.57, nature : 0.63, process : 0.51, particularly : 0.53, large : 0.55, scale : 0.44, agricultural : 0.53, operations : 0.45, network : 0.51, cnn : 0, deep : 0.46, learning : 0.47, approach : 0.42, offers : 0.53, significant : 0.41, potential : 0.49, automating : 0.48, improving : 0.49, accuracy : 0.5, tasks : 0, by : 0, extracting : 0.45, complex : 0.42, visual : 0.36, features : 0.67, such : 0.46, as : 0, color : 0.44, texture : 0.69, this : 0.46, study : 0.44, employs : 0.42, slr : 0.49, evaluate : 0.58, relevant : 0.67, research : 0.67, from : 0.46, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.5, identify : 0.5, trends : 0.63, utilizing : 0.49, purpose : 0.49, results : 0.68, demonstrate : 0.55, that : 0, achieves : 0.47, superior : 0.5, 90 : 0, compared : 0.58, traditional : 0.44, methods : 0.51, like : 0.42, k : 0, nearest : 0.49, neighbor : 0.58, knn : 0, however : 0.49, limitations : 0.41, include : 0.49, restricted : 0.78, dataset : 0.42, diversity : 0.46, insufficient : 0.43, testing : 0.51, under : 0.55, real : 0.67, world : 0.55, conditions : 0.32, recommendations : 0.67, emphasize : 0.57, need : 0.46, larger : 0.63, more : 0.58, diverse : 0.61, datasets : 0.42, integration : 0.44, additional : 0.41, media : 0.55, spectral : 0.5, data : 0, video : 0.38, enhance : 0.51, model : 0.44, robustness : 0.6 |
| 107. abstract | 130 words | 0.78 | systematic : 0.64, literature : 0.63, review : 0, on : 0, the : 0.49, application : 0.58, of : 0, convolutional : 0.4, neural : 0.53, networks : 0.5, for : 0.49, rambutan : 0.67, fruit : 0.38, classification : 0.53, advances : 0.63, challenges : 0.41, and : 0.54, future : 0.53, directions : 0.39, nephelium : 0, lappaceum : 0.57, l : 0, is : 0.54, a : 0.74, tropical : 0.58, widely : 0, cultivated : 0.56, in : 0, southeast : 0.65, asia : 0.74, including : 0, indonesia : 0.41, manual : 0.53, types : 0.38, ripeness : 0, levels : 0.43, remains : 0.42, challenge : 0.41, due : 0, to : 0.54, high : 0, subjectivity : 0.55, time : 0.46, intensive : 0.32, nature : 0.63, process : 0.43, particularly : 0.55, large : 0.55, scale : 0.38, agricultural : 0.59, operations : 0.39, network : 0.51, cnn : 0, deep : 0, learning : 0.5, approach : 0.7, offers : 0.36, significant : 0.54, potential : 0.46, automating : 0.67, improving : 0.41, accuracy : 0.7, tasks : 0.49, by : 0.54, extracting : 0.61, complex : 0, visual : 0.53, features : 0.58, such : 0.46, as : 0.78, color : 0.44, texture : 0.51, this : 0.42, study : 0.55, employs : 0, slr : 0.64, evaluate : 0.47, relevant : 0.5, research : 0.58, from : 0.46, 2019 : 0, 2024 : 0, was : 0.64, analyzed : 0.55, identify : 0.42, trends : 0.46, utilizing : 0.41, purpose : 0.35, results : 0.51, demonstrate : 0.69, that : 0.42, achieves : 0.48, superior : 0.5, 90 : 0, compared : 0.33, traditional : 0.53, methods : 0.42, like : 0, k : 0, nearest : 0.57, neighbor : 0.42, knn : 0, however : 0.42, limitations : 0.55, include : 0, restricted : 0.61, dataset : 0.68, diversity : 0.46, insufficient : 0.54, testing : 0.35, under : 0.44, real : 0.46, world : 0.44, conditions : 0.41, recommendations : 0.51, emphasize : 0.32, need : 0, larger : 0.53, more : 0.46, diverse : 0.35, datasets : 0.65, integration : 0.62, additional : 0.6, media : 0.44, spectral : 0.62, data : 0.71, video : 0, enhance : 0.51, model : 0, robustness : 0.47 |
| 108. textarea | 130 words | 0.92 | systematic : 0.55, literature : 0.73, review : 0.53, on : 0, the : 0.67, application : 0.44, of : 0, convolutional : 0.47, neural : 0.51, networks : 0.47, for : 0.49, rambutan : 0.47, fruit : 0.44, classification : 0.46, advances : 0.5, challenges : 0.45, and : 0, future : 0.63, directions : 0.39, nephelium : 0.49, lappaceum : 0.46, l : 0, is : 0, a : 0, tropical : 0.55, widely : 0.43, cultivated : 0.55, in : 0, southeast : 0.46, asia : 0.46, including : 0, indonesia : 0.49, manual : 0.53, types : 0.6, ripeness : 0.5, levels : 0.53, remains : 0.51, challenge : 0.49, due : 0.49, to : 0.59, high : 0, subjectivity : 0.47, time : 0.63, intensive : 0.57, nature : 0.64, process : 0.42, particularly : 0.49, large : 0.49, scale : 0.38, agricultural : 0.49, operations : 0.55, network : 0.49, cnn : 0, deep : 0.46, learning : 0.58, approach : 0.33, offers : 0.53, significant : 0.41, potential : 0.65, automating : 0.55, improving : 0.41, accuracy : 0.33, tasks : 0.6, by : 0, extracting : 0.64, complex : 0.42, visual : 0.43, features : 0.65, such : 0, as : 0, color : 0.44, texture : 0.92, this : 0.51, study : 0.44, employs : 0.42, slr : 0.49, evaluate : 0.65, relevant : 0.47, research : 0.54, from : 0, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.5, identify : 0.5, trends : 0.58, utilizing : 0.41, purpose : 0.51, results : 0.51, demonstrate : 0.63, that : 0.64, achieves : 0.5, superior : 0.5, 90 : 0, compared : 0.58, traditional : 0.66, methods : 0.35, like : 0.46, k : 0, nearest : 0.65, neighbor : 0.5, knn : 0, however : 0.49, limitations : 0.44, include : 0.42, restricted : 0.58, dataset : 0.57, diversity : 0.49, insufficient : 0.4, testing : 0.68, under : 0.55, real : 0.58, world : 0.44, conditions : 0.41, recommendations : 0.42, emphasize : 0.57, need : 0.46, larger : 0.46, more : 0.42, diverse : 0.6, datasets : 0.54, integration : 0.63, additional : 0.45, media : 0.55, spectral : 0.58, data : 0.42, video : 0.44, enhance : 0.6, model : 0.44, robustness : 0.48 |
| 109. style | 130 words | 0.76 | systematic : 0.69, literature : 0.52, review : 0.46, on : 0, the : 0.51, application : 0.43, of : 0, convolutional : 0.43, neural : 0.46, networks : 0.38, for : 0, rambutan : 0, fruit : 0, classification : 0.35, advances : 0.44, challenges : 0.53, and : 0, future : 0.58, directions : 0.37, nephelium : 0.37, lappaceum : 0.54, l : 0, is : 0.57, a : 0, tropical : 0.44, widely : 0.41, cultivated : 0.52, in : 0, southeast : 0.68, asia : 0.48, including : 0.44, indonesia : 0.44, manual : 0.46, types : 0.73, ripeness : 0.44, levels : 0.41, remains : 0, challenge : 0.54, due : 0, to : 0.57, high : 0, subjectivity : 0.55, time : 0.63, intensive : 0.54, nature : 0.58, process : 0.45, particularly : 0.52, large : 0.47, scale : 0.76, agricultural : 0.43, operations : 0.37, network : 0.45, cnn : 0, deep : 0, learning : 0.55, approach : 0, offers : 0.46, significant : 0.49, potential : 0.54, automating : 0.43, improving : 0, accuracy : 0, tasks : 0.47, by : 0.57, extracting : 0.37, complex : 0.56, visual : 0.58, features : 0.38, such : 0.54, as : 0.57, color : 0.47, texture : 0.56, this : 0.48, study : 0.68, employs : 0.45, slr : 0.56, evaluate : 0.55, relevant : 0.38, research : 0.38, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.55, identify : 0.38, trends : 0.58, utilizing : 0.54, purpose : 0.45, results : 0.56, demonstrate : 0.43, that : 0.48, achieves : 0.44, superior : 0.6, 90 : 0, compared : 0.44, traditional : 0.43, methods : 0.45, like : 0.48, k : 0, nearest : 0.45, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.36, include : 0.56, restricted : 0.47, dataset : 0.56, diversity : 0.44, insufficient : 0.52, testing : 0.4, under : 0.47, real : 0.48, world : 0.47, conditions : 0.43, recommendations : 0.42, emphasize : 0, need : 0, larger : 0.46, more : 0.48, diverse : 0.45, datasets : 0.55, integration : 0.53, additional : 0.43, media : 0, spectral : 0.59, data : 0.48, video : 0.47, enhance : 0.45, model : 0.43, robustness : 0.63 |
| 110. height | 130 words | 0.9 | systematic : 0.34, literature : 0.43, review : 0.56, on : 0, the : 0.67, application : 0.51, of : 0, convolutional : 0.41, neural : 0.44, networks : 0.53, for : 0, rambutan : 0.43, fruit : 0.58, classification : 0.49, advances : 0, challenges : 0.6, and : 0, future : 0, directions : 0.49, nephelium : 0.35, lappaceum : 0, l : 0, is : 0.56, a : 0, tropical : 0.43, widely : 0.39, cultivated : 0.34, in : 0.56, southeast : 0.35, asia : 0.47, including : 0.43, indonesia : 0.43, manual : 0, types : 0.46, ripeness : 0.36, levels : 0.44, remains : 0.54, challenge : 0.43, due : 0.5, to : 0, high : 0.9, subjectivity : 0.47, time : 0.44, intensive : 0.44, nature : 0, process : 0, particularly : 0.33, large : 0.46, scale : 0, agricultural : 0.47, operations : 0.49, network : 0.44, cnn : 0, deep : 0.47, learning : 0.53, approach : 0.43, offers : 0.44, significant : 0.51, potential : 0.35, automating : 0.42, improving : 0.43, accuracy : 0, tasks : 0, by : 0, extracting : 0.51, complex : 0, visual : 0.44, features : 0.53, such : 0.47, as : 0, color : 0, texture : 0.54, this : 0.61, study : 0, employs : 0.44, slr : 0, evaluate : 0.53, relevant : 0.53, research : 0.53, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.51, trends : 0.44, utilizing : 0.43, purpose : 0, results : 0.54, demonstrate : 0.51, that : 0.61, achieves : 0.51, superior : 0.53, 90 : 0, compared : 0, traditional : 0.51, methods : 0.54, like : 0.44, k : 0, nearest : 0.54, neighbor : 0.72, knn : 0, however : 0.59, limitations : 0.51, include : 0.44, restricted : 0.49, dataset : 0.44, diversity : 0.5, insufficient : 0.42, testing : 0.53, under : 0.46, real : 0.47, world : 0, conditions : 0.51, recommendations : 0.49, emphasize : 0.35, need : 0.47, larger : 0.44, more : 0.47, diverse : 0.37, datasets : 0.43, integration : 0.51, additional : 0.51, media : 0.58, spectral : 0.53, data : 0, video : 0.41, enhance : 0.37, model : 0.46, robustness : 0.42 |
| 111. 300px | 130 words | 0.57 | systematic : 0, literature : 0, review : 0, on : 0, the : 0, application : 0.43, 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 : 0.44, lappaceum : 0.44, l : 0, is : 0, a : 0, tropical : 0.44, widely : 0, cultivated : 0, in : 0, southeast : 0, asia : 0, including : 0, indonesia : 0, manual : 0, types : 0.47, ripeness : 0.44, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0, process : 0, particularly : 0.43, large : 0, scale : 0, agricultural : 0, operations : 0.43, network : 0, cnn : 0, deep : 0.48, learning : 0, approach : 0.44, offers : 0, significant : 0, potential : 0.44, automating : 0, improving : 0.44, accuracy : 0, tasks : 0, by : 0, extracting : 0.43, complex : 0.56, visual : 0, features : 0, such : 0, as : 0, color : 0, texture : 0.45, this : 0, study : 0, employs : 0.45, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0.48, 2024 : 0.48, was : 0, analyzed : 0, identify : 0, trends : 0, utilizing : 0, purpose : 0.45, results : 0, demonstrate : 0, that : 0, achieves : 0, superior : 0.44, 90 : 0.57, compared : 0.44, 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 : 0.44, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0, integration : 0, additional : 0, media : 0, spectral : 0.44, data : 0, video : 0, enhance : 0, model : 0, robustness : 0 |
| 112. button | 130 words | 0.72 | systematic : 0.51, literature : 0.51, review : 0, on : 0, the : 0.5, application : 0.42, of : 0, convolutional : 0.49, neural : 0.44, networks : 0.53, for : 0, rambutan : 0.72, fruit : 0.58, classification : 0, advances : 0.43, challenges : 0.42, and : 0, future : 0.56, directions : 0.6, nephelium : 0, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.53, widely : 0, cultivated : 0.6, in : 0, southeast : 0.44, asia : 0, including : 0.52, indonesia : 0.52, manual : 0.44, types : 0.46, ripeness : 0.43, levels : 0, remains : 0.44, challenge : 0.43, due : 0.5, to : 0.56, high : 0, subjectivity : 0.47, time : 0.47, intensive : 0.52, nature : 0.39, process : 0.44, particularly : 0.33, large : 0, scale : 0, agricultural : 0.5, operations : 0.49, network : 0.54, cnn : 0, deep : 0, learning : 0.43, approach : 0.43, offers : 0, significant : 0.42, potential : 0.58, automating : 0.71, improving : 0.52, accuracy : 0.43, tasks : 0.46, by : 0.6, extracting : 0.6, complex : 0, visual : 0.44, features : 0.36, such : 0.47, as : 0, color : 0.46, texture : 0.54, this : 0.47, study : 0.41, employs : 0.44, slr : 0, evaluate : 0.53, relevant : 0.43, research : 0, from : 0.47, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.36, trends : 0.56, utilizing : 0.61, purpose : 0.54, results : 0.54, demonstrate : 0.42, that : 0.61, achieves : 0, superior : 0.53, 90 : 0, compared : 0.43, traditional : 0.68, methods : 0.54, like : 0, k : 0, nearest : 0, neighbor : 0.43, knn : 0, however : 0, limitations : 0.68, include : 0, restricted : 0.51, dataset : 0.44, diversity : 0, insufficient : 0.33, testing : 0.64, under : 0.46, real : 0, world : 0, conditions : 0.43, recommendations : 0.49, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0.53, integration : 0.48, additional : 0.6, media : 0, spectral : 0.43, data : 0.47, video : 0.46, enhance : 0.44, model : 0, robustness : 0.64 |
| 113. reset | 130 words | 0.86 | systematic : 0.47, literature : 0.52, review : 0.76, on : 0, the : 0.51, application : 0.43, of : 0, convolutional : 0.43, neural : 0.46, networks : 0.55, for : 0, rambutan : 0.6, fruit : 0.6, classification : 0.51, advances : 0.44, challenges : 0.43, and : 0, future : 0.41, directions : 0.63, nephelium : 0.54, lappaceum : 0.44, l : 0, is : 0.57, a : 0, tropical : 0.44, widely : 0.46, cultivated : 0.43, in : 0, southeast : 0.53, asia : 0.48, including : 0, indonesia : 0.44, manual : 0, types : 0.47, ripeness : 0.69, levels : 0.58, remains : 0.65, challenge : 0.44, due : 0.51, to : 0, high : 0, subjectivity : 0.51, time : 0.48, intensive : 0.48, nature : 0.41, process : 0.56, particularly : 0.52, large : 0.47, scale : 0.47, agricultural : 0.52, operations : 0.52, network : 0.56, cnn : 0, deep : 0.63, learning : 0.38, approach : 0.44, offers : 0.46, significant : 0.43, potential : 0.37, automating : 0.43, improving : 0.44, accuracy : 0, tasks : 0.47, by : 0, extracting : 0.47, complex : 0.45, visual : 0.46, features : 0.55, such : 0, as : 0.57, color : 0, texture : 0.56, this : 0.48, study : 0, employs : 0.45, slr : 0, evaluate : 0.55, relevant : 0.81, research : 0.86, from : 0.48, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.44, identify : 0.55, trends : 0.58, utilizing : 0.44, purpose : 0.45, results : 0.85, demonstrate : 0.62, that : 0.48, achieves : 0.55, superior : 0.38, 90 : 0, compared : 0.44, traditional : 0.36, methods : 0.56, like : 0.48, k : 0, nearest : 0.68, neighbor : 0.44, knn : 0, however : 0.56, limitations : 0.43, include : 0, restricted : 0.81, dataset : 0.51, diversity : 0.64, insufficient : 0.43, testing : 0.68, under : 0.47, real : 0.71, world : 0, conditions : 0.43, recommendations : 0.75, emphasize : 0.54, need : 0.63, larger : 0.58, more : 0.48, diverse : 0.45, datasets : 0.49, integration : 0.36, additional : 0.43, media : 0.47, spectral : 0.55, data : 0, video : 0.47, enhance : 0.45, model : 0.47, robustness : 0.69 |
| 114. btn | 130 words | 0.77 | systematic : 0.48, literature : 0.48, review : 0, on : 0, the : 0, application : 0, of : 0, convolutional : 0.47, neural : 0.5, networks : 0.47, for : 0, rambutan : 0.49, fruit : 0, classification : 0, advances : 0.49, challenges : 0.48, and : 0, future : 0.5, directions : 0.48, nephelium : 0.48, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.49, widely : 0, cultivated : 0.48, in : 0, southeast : 0.48, asia : 0, including : 0.48, indonesia : 0.48, manual : 0.5, types : 0.51, ripeness : 0.49, levels : 0, remains : 0, challenge : 0, due : 0, to : 0, high : 0, subjectivity : 0.61, time : 0.53, intensive : 0.46, nature : 0.5, process : 0, particularly : 0.47, large : 0, scale : 0, agricultural : 0, operations : 0.48, network : 0.48, cnn : 0.56, deep : 0, learning : 0.49, approach : 0, offers : 0, significant : 0.47, potential : 0.63, automating : 0.48, improving : 0, accuracy : 0, tasks : 0.51, by : 0.65, extracting : 0.48, complex : 0, visual : 0, features : 0.49, such : 0, as : 0, color : 0, texture : 0.49, this : 0.53, study : 0.51, employs : 0, slr : 0, evaluate : 0, relevant : 0, research : 0, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.49, identify : 0.47, trends : 0.67, utilizing : 0.48, purpose : 0, results : 0, demonstrate : 0.47, that : 0.53, achieves : 0, superior : 0, 90 : 0, compared : 0, traditional : 0.47, methods : 0.49, like : 0, k : 0, nearest : 0.49, neighbor : 0.49, knn : 0.56, however : 0, limitations : 0.47, include : 0.49, restricted : 0.48, dataset : 0.49, diversity : 0, insufficient : 0.47, testing : 0.49, under : 0.51, real : 0, world : 0, conditions : 0.46, recommendations : 0.47, emphasize : 0, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0.49, integration : 0.45, additional : 0.48, media : 0, spectral : 0.49, data : 0.53, video : 0, enhance : 0.49, model : 0, robustness : 0.77 |
| 115. default | 130 words | 0.73 | systematic : 0.41, literature : 0.49, review : 0.44, on : 0, the : 0.49, application : 0.57, of : 0.55, convolutional : 0.44, neural : 0.66, networks : 0.42, for : 0.49, rambutan : 0.6, fruit : 0.68, classification : 0.54, advances : 0.35, challenges : 0.41, and : 0.49, future : 0.54, directions : 0.62, nephelium : 0.48, lappaceum : 0.5, l : 0, is : 0, a : 0, tropical : 0.51, widely : 0.64, cultivated : 0.49, in : 0, southeast : 0.42, asia : 0.46, including : 0.34, indonesia : 0.42, manual : 0.64, types : 0.45, ripeness : 0.42, levels : 0.54, remains : 0.52, challenge : 0.5, due : 0.69, to : 0, high : 0, subjectivity : 0.45, time : 0.46, intensive : 0.42, nature : 0.54, process : 0, particularly : 0.51, large : 0.45, scale : 0.56, agricultural : 0.63, operations : 0.58, network : 0.43, cnn : 0, deep : 0.68, learning : 0.51, approach : 0.42, offers : 0.37, significant : 0.49, potential : 0.48, automating : 0.58, improving : 0, accuracy : 0.51, tasks : 0.45, by : 0, extracting : 0.47, complex : 0.43, visual : 0.53, features : 0.65, such : 0, as : 0, color : 0, texture : 0.52, this : 0, study : 0.45, employs : 0.52, slr : 0, evaluate : 0.71, relevant : 0.61, research : 0.51, from : 0.46, 2019 : 0, 2024 : 0, was : 0.49, analyzed : 0.51, identify : 0.6, trends : 0.44, utilizing : 0.42, purpose : 0, results : 0.71, demonstrate : 0.65, that : 0.46, achieves : 0.35, superior : 0.35, 90 : 0, compared : 0.42, traditional : 0.46, methods : 0.43, like : 0.46, k : 0, nearest : 0.62, neighbor : 0.42, knn : 0, however : 0.43, limitations : 0.32, include : 0.36, restricted : 0.5, dataset : 0.66, diversity : 0.63, insufficient : 0.45, testing : 0.43, under : 0.56, real : 0.73, world : 0.45, conditions : 0.5, recommendations : 0.54, emphasize : 0.5, need : 0.46, larger : 0.44, more : 0.46, diverse : 0.57, datasets : 0.64, integration : 0.4, additional : 0.49, media : 0.57, spectral : 0.57, data : 0.64, video : 0.56, enhance : 0.52, model : 0.68, robustness : 0.5 |
| 116. submit | 130 words | 0.78 | systematic : 0.61, literature : 0.51, review : 0.44, on : 0, the : 0, application : 0.51, of : 0, convolutional : 0.47, neural : 0.44, networks : 0.43, for : 0, rambutan : 0.64, fruit : 0.7, classification : 0.57, advances : 0, challenges : 0, and : 0, future : 0.44, directions : 0.51, nephelium : 0.43, lappaceum : 0, l : 0, is : 0.56, a : 0, tropical : 0.43, widely : 0, cultivated : 0.49, in : 0, southeast : 0.65, asia : 0.61, including : 0.52, indonesia : 0.43, manual : 0.44, types : 0, ripeness : 0.43, levels : 0, remains : 0.54, challenge : 0, due : 0.5, to : 0, high : 0, subjectivity : 0.78, time : 0.47, intensive : 0.35, nature : 0.44, process : 0, particularly : 0.47, large : 0, scale : 0.51, agricultural : 0.47, operations : 0.34, network : 0, cnn : 0, deep : 0, learning : 0.43, approach : 0, offers : 0, significant : 0.55, potential : 0.35, automating : 0.56, improving : 0.52, accuracy : 0.43, tasks : 0.46, by : 0.56, extracting : 0.34, complex : 0.44, visual : 0.56, features : 0.36, 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 : 0.43, from : 0.47, 2019 : 0, 2024 : 0, was : 0.5, analyzed : 0, identify : 0.36, trends : 0, utilizing : 0.52, purpose : 0.44, results : 0.64, demonstrate : 0.51, that : 0.47, achieves : 0.43, superior : 0.7, 90 : 0, compared : 0.43, traditional : 0.51, methods : 0, like : 0, k : 0, nearest : 0.44, neighbor : 0.36, knn : 0, however : 0, limitations : 0.48, include : 0, restricted : 0.49, dataset : 0.44, diversity : 0.52, insufficient : 0.42, testing : 0.53, under : 0.46, real : 0, world : 0, conditions : 0.51, recommendations : 0.49, emphasize : 0.52, need : 0, larger : 0, more : 0, diverse : 0, datasets : 0.43, integration : 0.51, additional : 0.51, media : 0.46, spectral : 0.58, data : 0, video : 0, enhance : 0, model : 0, robustness : 0.61 |
| 117. cekin | 130 words | 0.68 | systematic : 0.43, literature : 0.37, review : 0.58, on : 0, the : 0.51, application : 0.43, of : 0, convolutional : 0.55, neural : 0.46, networks : 0.44, for : 0, rambutan : 0.44, fruit : 0.47, classification : 0.56, advances : 0.44, challenges : 0.67, and : 0, future : 0, directions : 0.65, nephelium : 0.54, lappaceum : 0, l : 0, is : 0, a : 0, tropical : 0.44, widely : 0.41, cultivated : 0.58, in : 0, southeast : 0, asia : 0.48, including : 0.48, indonesia : 0.54, manual : 0.46, types : 0, ripeness : 0.55, levels : 0.46, remains : 0.68, challenge : 0.59, due : 0.51, to : 0, high : 0, subjectivity : 0.51, time : 0, intensive : 0.48, nature : 0, process : 0, particularly : 0.36, large : 0, scale : 0.47, agricultural : 0.36, operations : 0.63, network : 0.45, cnn : 0.56, deep : 0.48, learning : 0.55, approach : 0, offers : 0.46, significant : 0.53, potential : 0.53, automating : 0.53, improving : 0.54, accuracy : 0.44, tasks : 0.47, by : 0, extracting : 0.63, complex : 0.5, visual : 0.46, features : 0.44, such : 0, as : 0, color : 0.52, texture : 0.45, this : 0.48, study : 0, employs : 0.45, slr : 0, evaluate : 0.44, relevant : 0.55, research : 0.44, from : 0, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.44, identify : 0.55, trends : 0.58, utilizing : 0.54, purpose : 0, results : 0.45, demonstrate : 0.53, that : 0, achieves : 0.55, superior : 0.55, 90 : 0, compared : 0.5, traditional : 0.53, methods : 0.45, like : 0.48, k : 0, nearest : 0.45, neighbor : 0.55, knn : 0, however : 0.45, limitations : 0.43, include : 0.45, restricted : 0.53, dataset : 0, diversity : 0.37, insufficient : 0.52, testing : 0.68, under : 0, real : 0.48, world : 0, conditions : 0.57, recommendations : 0.49, emphasize : 0.54, need : 0.48, larger : 0, more : 0, diverse : 0.4, datasets : 0, integration : 0.46, additional : 0.53, media : 0.6, spectral : 0.38, data : 0, video : 0, enhance : 0.56, model : 0, robustness : 0.43 |
| 118. value | 130 words | 0.88 | systematic : 0.43, literature : 0.57, review : 0.58, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0.61, neural : 0.46, networks : 0.44, for : 0, rambutan : 0.55, fruit : 0.47, classification : 0.35, advances : 0.55, challenges : 0.63, and : 0.51, future : 0.58, directions : 0.43, nephelium : 0.37, lappaceum : 0.53, l : 0, is : 0, a : 0.73, tropical : 0, widely : 0.41, cultivated : 0.52, in : 0, southeast : 0.54, asia : 0.48, including : 0.54, indonesia : 0.44, manual : 0.58, types : 0.47, ripeness : 0.44, levels : 0.59, remains : 0.45, challenge : 0.64, due : 0, to : 0, high : 0, subjectivity : 0.52, time : 0.48, intensive : 0.44, nature : 0.7, process : 0.45, particularly : 0.51, large : 0.6, scale : 0.73, agricultural : 0.51, operations : 0.37, network : 0, cnn : 0, deep : 0, learning : 0.49, approach : 0.44, offers : 0.46, significant : 0, potential : 0.44, automating : 0.53, improving : 0, accuracy : 0.55, tasks : 0.47, by : 0, extracting : 0.37, complex : 0.56, visual : 0.62, features : 0.49, such : 0, as : 0.57, color : 0.47, texture : 0.56, this : 0, study : 0.47, employs : 0.45, slr : 0.51, evaluate : 0.88, relevant : 0.38, research : 0.38, from : 0, 2019 : 0, 2024 : 0, was : 0.51, analyzed : 0.66, identify : 0.44, trends : 0.46, utilizing : 0.37, purpose : 0.56, results : 0.4, demonstrate : 0.43, that : 0.48, achieves : 0.55, superior : 0.55, 90 : 0, compared : 0.55, traditional : 0.43, methods : 0, like : 0.48, k : 0, nearest : 0.56, neighbor : 0.44, knn : 0, however : 0.45, limitations : 0.36, include : 0.68, restricted : 0.43, dataset : 0.56, diversity : 0.54, insufficient : 0.52, testing : 0, under : 0.47, real : 0.63, world : 0.47, conditions : 0, recommendations : 0.42, emphasize : 0.44, need : 0, larger : 0.59, more : 0.48, diverse : 0.56, datasets : 0.55, integration : 0.43, additional : 0.43, media : 0, spectral : 0.44, data : 0.48, video : 0.64, enhance : 0.56, model : 0.47, robustness : 0.53 |
| 119. dark | 130 words | 0.75 | systematic : 0, literature : 0.4, review : 0.47, on : 0, the : 0, application : 0.45, of : 0, convolutional : 0, neural : 0.47, networks : 0.58, for : 0.53, rambutan : 0.42, fruit : 0.48, classification : 0.44, advances : 0.42, challenges : 0.45, and : 0.53, future : 0.47, directions : 0.61, nephelium : 0, lappaceum : 0.45, l : 0, is : 0, a : 0.75, tropical : 0.46, widely : 0.47, cultivated : 0, in : 0, southeast : 0, asia : 0.5, including : 0, indonesia : 0.45, manual : 0.47, types : 0, ripeness : 0.46, levels : 0, remains : 0.43, challenge : 0.45, due : 0.58, to : 0, high : 0, subjectivity : 0, time : 0, intensive : 0, nature : 0.61, process : 0.46, particularly : 0.56, large : 0.63, scale : 0.48, agricultural : 0.56, operations : 0.4, network : 0, cnn : 0, deep : 0.55, learning : 0.58, approach : 0.58, offers : 0.47, significant : 0, potential : 0, automating : 0.45, improving : 0.45, accuracy : 0.58, tasks : 0.63, by : 0, extracting : 0.4, complex : 0, visual : 0, features : 0.58, such : 0, as : 0.58, color : 0, texture : 0, this : 0, study : 0, employs : 0, slr : 0.53, evaluate : 0.46, relevant : 0.46, research : 0.42, from : 0.5, 2019 : 0, 2024 : 0, was : 0.53, analyzed : 0.46, identify : 0.46, trends : 0.47, utilizing : 0, purpose : 0.46, results : 0.46, demonstrate : 0.5, that : 0.5, achieves : 0.46, superior : 0.46, 90 : 0, compared : 0.58, traditional : 0.56, methods : 0, like : 0.5, k : 0, nearest : 0.6, neighbor : 0, knn : 0, however : 0, limitations : 0.45, include : 0, restricted : 0.45, dataset : 0.68, diversity : 0.62, insufficient : 0, testing : 0, under : 0, real : 0.5, world : 0.48, conditions : 0.45, recommendations : 0.44, emphasize : 0.45, need : 0, larger : 0.61, more : 0.5, diverse : 0.64, datasets : 0.67, integration : 0.45, additional : 0.4, media : 0, spectral : 0.46, data : 0.73, video : 0, enhance : 0.46, model : 0, robustness : 0.45 |
| 120. float | 130 words | 0.73 | systematic : 0.37, literature : 0.52, review : 0, on : 0, the : 0, application : 0.51, of : 0.57, convolutional : 0.5, neural : 0.46, networks : 0.38, for : 0.72, rambutan : 0.55, fruit : 0.64, classification : 0.57, advances : 0.44, challenges : 0.37, and : 0, future : 0.62, directions : 0.43, nephelium : 0, lappaceum : 0.54, l : 0.73, is : 0, a : 0, tropical : 0.55, widely : 0, cultivated : 0.52, in : 0, southeast : 0.53, asia : 0.48, including : 0.44, indonesia : 0.44, manual : 0.46, types : 0, ripeness : 0, levels : 0.46, remains : 0.45, challenge : 0.37, due : 0, to : 0.57, high : 0, subjectivity : 0.43, time : 0, intensive : 0.44, nature : 0.58, process : 0.45, particularly : 0.52, large : 0.47, scale : 0.47, agricultural : 0.51, operations : 0.63, network : 0.4, cnn : 0, deep : 0, learning : 0.55, approach : 0.38, offers : 0.41, significant : 0, potential : 0.54, automating : 0.47, improving : 0.44, accuracy : 0.44, tasks : 0, by : 0, extracting : 0.37, complex : 0.45, visual : 0.46, features : 0.69, such : 0, as : 0, color : 0.43, texture : 0.45, this : 0, study : 0, employs : 0.56, slr : 0.51, evaluate : 0.55, relevant : 0.66, research : 0.44, from : 0.67, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.38, identify : 0.44, trends : 0, utilizing : 0.37, purpose : 0.45, results : 0.45, demonstrate : 0.53, that : 0.63, achieves : 0.44, superior : 0, 90 : 0, compared : 0.55, traditional : 0.36, methods : 0.4, like : 0.48, k : 0, nearest : 0.56, neighbor : 0, knn : 0, however : 0.45, limitations : 0.51, include : 0.45, restricted : 0.43, dataset : 0.56, diversity : 0.44, insufficient : 0.43, testing : 0.45, under : 0, real : 0.48, world : 0.47, conditions : 0.53, recommendations : 0.6, emphasize : 0.44, need : 0, larger : 0.58, more : 0.48, diverse : 0, datasets : 0.55, integration : 0.36, additional : 0.47, media : 0.47, spectral : 0.38, data : 0.48, video : 0, enhance : 0.45, model : 0.47, robustness : 0.53 |
| 121. right | 130 words | 0.78 | systematic : 0.43, literature : 0.47, review : 0.62, on : 0, the : 0, application : 0.53, of : 0, convolutional : 0.43, neural : 0, networks : 0.44, for : 0, rambutan : 0.6, fruit : 0.6, classification : 0.51, advances : 0, challenges : 0.43, and : 0, future : 0.46, directions : 0.52, nephelium : 0.44, lappaceum : 0, l : 0, is : 0.57, a : 0, tropical : 0.55, widely : 0.46, cultivated : 0.37, in : 0.57, southeast : 0.37, asia : 0.48, including : 0.44, indonesia : 0.44, manual : 0, types : 0, ripeness : 0.64, levels : 0, remains : 0.5, challenge : 0.44, due : 0, to : 0, high : 0.78, subjectivity : 0.43, time : 0.48, intensive : 0.54, nature : 0.46, process : 0.45, particularly : 0.51, large : 0.47, scale : 0, agricultural : 0.59, operations : 0.53, network : 0.45, cnn : 0, deep : 0, learning : 0.44, approach : 0.44, offers : 0, significant : 0.53, potential : 0.44, automating : 0.43, improving : 0.37, accuracy : 0, tasks : 0, by : 0, extracting : 0.37, complex : 0, visual : 0.46, features : 0.44, such : 0.48, as : 0, color : 0, texture : 0.45, this : 0.48, study : 0, employs : 0, slr : 0, evaluate : 0.44, relevant : 0.6, research : 0.5, from : 0.48, 2019 : 0, 2024 : 0, was : 0, analyzed : 0, identify : 0.55, trends : 0.46, utilizing : 0.37, purpose : 0.45, results : 0.61, demonstrate : 0.43, that : 0.48, achieves : 0.38, superior : 0, 90 : 0, compared : 0, traditional : 0.46, methods : 0.4, like : 0.48, k : 0, nearest : 0.45, neighbor : 0.66, knn : 0, however : 0, limitations : 0.53, include : 0.45, restricted : 0.57, dataset : 0.45, diversity : 0.54, insufficient : 0.43, testing : 0.45, under : 0, real : 0.54, world : 0, conditions : 0.53, recommendations : 0.56, emphasize : 0.44, need : 0, larger : 0.58, more : 0, diverse : 0.45, datasets : 0.44, integration : 0.51, additional : 0.53, media : 0, spectral : 0.44, data : 0, video : 0.47, enhance : 0.45, model : 0, robustness : 0.58 |
| 122. footer | 130 words | 0.73 | systematic : 0.51, literature : 0.6, review : 0.44, on : 0.56, the : 0.5, application : 0.42, of : 0.61, convolutional : 0.58, neural : 0.44, networks : 0.64, for : 0.73, rambutan : 0.43, fruit : 0.62, classification : 0.41, advances : 0.43, challenges : 0.42, and : 0, future : 0.72, directions : 0.49, nephelium : 0.43, lappaceum : 0.43, l : 0, is : 0, a : 0, tropical : 0.36, widely : 0.44, cultivated : 0.51, in : 0, southeast : 0.61, asia : 0, including : 0, indonesia : 0.52, manual : 0, types : 0.46, ripeness : 0.43, levels : 0.44, remains : 0, challenge : 0.43, due : 0.5, to : 0.56, high : 0, subjectivity : 0.33, time : 0.47, intensive : 0.52, nature : 0.56, process : 0.54, particularly : 0.33, large : 0.46, scale : 0.46, agricultural : 0.33, operations : 0.56, network : 0.53, cnn : 0, deep : 0.47, learning : 0.53, approach : 0.36, offers : 0.69, significant : 0, potential : 0.61, automating : 0.34, improving : 0.35, accuracy : 0.43, tasks : 0, by : 0, extracting : 0.49, complex : 0.54, visual : 0, features : 0.67, such : 0, as : 0, color : 0.7, texture : 0.53, this : 0, study : 0.46, employs : 0.44, slr : 0, evaluate : 0.53, relevant : 0.43, research : 0.53, from : 0.65, 2019 : 0, 2024 : 0, was : 0, analyzed : 0.43, identify : 0.36, trends : 0.44, utilizing : 0.43, purpose : 0.54, results : 0.44, demonstrate : 0.55, that : 0.47, achieves : 0.43, superior : 0.53, 90 : 0, compared : 0.51, traditional : 0.51, methods : 0.37, like : 0.47, k : 0, nearest : 0.37, neighbor : 0.53, knn : 0, however : 0.64, limitations : 0.42, include : 0.44, restricted : 0.49, dataset : 0.54, diversity : 0.52, insufficient : 0.5, testing : 0.44, under : 0.58, real : 0, world : 0.46, conditions : 0.51, recommendations : 0.46, emphasize : 0, need : 0.47, larger : 0.56, more : 0.61, diverse : 0.54, datasets : 0.53, integration : 0.59, additional : 0.34, media : 0, spectral : 0.51, data : 0.47, video : 0.41, enhance : 0.44, model : 0.58, robustness : 0.6 |
Average Result
75.85%
0.75852142620585