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Advanced Classification of Oil Palm Fruit Ripeness Deep Learning for Enhanced Agricultural Efficiency
Accurate determination of oil palm fruit ripeness is crucial for optimizing oil yield and enhancing agricultural efficiency. This study utilizes deep learning, specifically Convolutional Neural Networks (CNNs), to classify oil palm fruit ripeness into four stages: raw, under-ripe, ripe, and overripe. The model leverages extensive data preprocessing and augmentation techniques to handle variations in lighting, angles, and fruit orientation, ensuring high classification accuracy. The approach addresses limitations of traditional methods, such as human error and inconsistencies, by providing an automated and reliable solution for real-time ripeness detection. Results demonstrate an overall accuracy of 97%, with robust precision, recall, and F1 scores across all categories. This study highlights the importance of diverse datasets and proposes further integration of contextual factors like environmental conditions to enhance applicability. The system offers a practical tool for precision agriculture, improving harvesting efficiency, reducing waste, and supporting sustainable practices
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advanced classification of oil palm fruit ripeness deep learning for enhanced agricultural efficiency accurate determination of oil palm fruit ripeness is crucial for optimizing oil yield and enhancing agricultural efficiency this study utilizes deep learning specifically convolutional neural networks cnns to classify oil palm fruit ripeness into four stages raw under ripe ripe and overripe the model leverages extensive data preprocessing and augmentation techniques to handle variations in lighting angles and fruit orientation ensuring high classification accuracy the approach addresses limitations of traditional methods such as human error and inconsistencies by providing an automated and reliable solution for real time ripeness detection results demonstrate an overall accuracy of 97 with robust precision recall and f1 scores across all categories this study highlights the importance of diverse datasets and proposes further integration of contextual factors like environmental conditions to enhance applicability the system offers a practical tool for precision agriculture improving harvesting efficiency reducing waste and supporting sustainable practices
Jaro Winkler
| Word | TW | HV | Detail |
|---|---|---|---|
| 1. aaa | 114 words | 0.8 | advanced : 0.67, classification : 0.47, of : 0, oil : 0, palm : 0.53, fruit : 0, ripeness : 0, deep : 0, learning : 0.49, for : 0, enhanced : 0.49, agricultural : 0.52, efficiency : 0, accurate : 0.67, determination : 0, is : 0, crucial : 0, optimizing : 0, yield : 0, and : 0.6, enhancing : 0.48, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0, neural : 0.5, networks : 0, cnns : 0, to : 0, classify : 0.49, into : 0, four : 0, stages : 0.5, raw : 0.56, under : 0, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0.48, extensive : 0, data : 0.72, preprocessing : 0, augmentation : 0.65, techniques : 0, handle : 0.5, variations : 0.62, in : 0, lighting : 0, angles : 0.55, orientation : 0.47, ensuring : 0, high : 0, accuracy : 0.67, approach : 0.67, addresses : 0.53, limitations : 0.47, traditional : 0.47, methods : 0, such : 0, as : 0.65, human : 0.51, error : 0, inconsistencies : 0, by : 0, providing : 0, an : 0.65, automated : 0.67, reliable : 0.49, solution : 0, real : 0.53, time : 0, detection : 0, results : 0, demonstrate : 0, overall : 0.49, 97 : 0, with : 0, robust : 0, precision : 0, recall : 0.5, f1 : 0, scores : 0, across : 0.55, all : 0.6, categories : 0.48, highlights : 0, importance : 0.48, diverse : 0, datasets : 0.64, proposes : 0, further : 0, integration : 0.47, contextual : 0, factors : 0.49, like : 0, environmental : 0, conditions : 0, enhance : 0.49, applicability : 0.65, system : 0, offers : 0, a : 0.8, practical : 0.48, tool : 0, agriculture : 0.53, improving : 0, harvesting : 0.48, reducing : 0, waste : 0.51, supporting : 0, sustainable : 0.47, practices : 0.48 |
| 2. php | 114 words | 0.68 | advanced : 0, classification : 0, of : 0, oil : 0, palm : 0.58, fruit : 0, ripeness : 0.49, deep : 0.53, learning : 0, for : 0, enhanced : 0.49, agricultural : 0, efficiency : 0, accurate : 0, determination : 0, is : 0, crucial : 0, optimizing : 0.48, yield : 0, and : 0, enhancing : 0.48, this : 0.53, study : 0, utilizes : 0, specifically : 0.47, convolutional : 0, neural : 0, networks : 0, cnns : 0, to : 0, classify : 0, into : 0, four : 0, stages : 0, raw : 0, under : 0, ripe : 0.53, overripe : 0, the : 0.56, model : 0, leverages : 0, extensive : 0, data : 0, preprocessing : 0.65, augmentation : 0, techniques : 0.48, handle : 0.5, variations : 0, in : 0, lighting : 0.49, angles : 0, orientation : 0, ensuring : 0, high : 0.53, accuracy : 0, approach : 0.64, addresses : 0, limitations : 0, traditional : 0, methods : 0.49, such : 0, as : 0, human : 0.51, error : 0, inconsistencies : 0, by : 0, providing : 0.53, an : 0, automated : 0, reliable : 0, solution : 0, real : 0, time : 0, detection : 0, results : 0, demonstrate : 0, overall : 0, 97 : 0, with : 0, robust : 0, precision : 0.53, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0, highlights : 0.48, importance : 0.48, diverse : 0, datasets : 0, proposes : 0.67, further : 0, integration : 0, contextual : 0, factors : 0, like : 0, environmental : 0, conditions : 0, enhance : 0.49, applicability : 0.61, system : 0, offers : 0, a : 0, practical : 0.53, tool : 0, agriculture : 0, improving : 0.48, harvesting : 0.48, reducing : 0, waste : 0, supporting : 0.62, sustainable : 0, practices : 0.53 |
| 3. defined | 114 words | 0.69 | advanced : 0.69, classification : 0.31, of : 0.55, oil : 0.49, palm : 0, fruit : 0.56, ripeness : 0.61, deep : 0.68, learning : 0.49, for : 0.49, enhanced : 0.69, agricultural : 0.41, efficiency : 0.67, accurate : 0.42, determination : 0.68, is : 0, crucial : 0.43, optimizing : 0.5, yield : 0.57, and : 0.49, enhancing : 0.48, this : 0.46, study : 0, utilizes : 0.51, specifically : 0.45, convolutional : 0.31, neural : 0.44, networks : 0.42, cnns : 0.46, to : 0, classify : 0.42, into : 0, four : 0.46, stages : 0.44, raw : 0, under : 0.56, ripe : 0.43, overripe : 0.6, the : 0.49, model : 0.56, leverages : 0.5, extensive : 0.59, data : 0.52, preprocessing : 0.48, augmentation : 0.48, techniques : 0.57, handle : 0.54, variations : 0.5, in : 0, lighting : 0.51, angles : 0.44, orientation : 0.46, ensuring : 0.49, high : 0.46, accuracy : 0, approach : 0, addresses : 0.59, limitations : 0.41, traditional : 0.57, methods : 0.52, such : 0, as : 0, human : 0.45, error : 0.45, inconsistencies : 0.54, by : 0, providing : 0.48, an : 0, automated : 0.5, reliable : 0.6, solution : 0.51, real : 0.46, time : 0.43, detection : 0.67, results : 0.43, demonstrate : 0.65, overall : 0.43, 97 : 0, with : 0.46, robust : 0, precision : 0.5, recall : 0.44, f1 : 0.55, scores : 0.44, across : 0, all : 0, categories : 0.58, highlights : 0.41, importance : 0.58, diverse : 0.67, datasets : 0.56, proposes : 0.42, further : 0.52, integration : 0.4, contextual : 0.33, factors : 0.43, like : 0.43, environmental : 0.54, conditions : 0.41, enhance : 0.62, applicability : 0.41, system : 0.44, offers : 0.37, a : 0, practical : 0.42, tool : 0, agriculture : 0.41, improving : 0.5, harvesting : 0.58, reducing : 0.61, waste : 0.45, supporting : 0.5, sustainable : 0.49, practices : 0.5 |
| 4. basepath | 114 words | 0.75 | advanced : 0.47, classification : 0.6, of : 0, oil : 0, palm : 0.46, fruit : 0.44, ripeness : 0.33, deep : 0.58, learning : 0.33, for : 0, enhanced : 0.33, agricultural : 0.43, efficiency : 0.41, accurate : 0.58, determination : 0.42, is : 0.54, crucial : 0.42, optimizing : 0.48, yield : 0.44, and : 0.49, enhancing : 0.32, this : 0.46, study : 0.44, utilizes : 0.42, specifically : 0.53, convolutional : 0.4, neural : 0.36, networks : 0.42, cnns : 0.46, to : 0, classify : 0.5, into : 0, four : 0, stages : 0.51, raw : 0.49, under : 0.44, ripe : 0.42, overripe : 0.5, the : 0.49, model : 0.44, leverages : 0.49, extensive : 0.32, data : 0.58, preprocessing : 0.3, augmentation : 0.53, techniques : 0.48, handle : 0.53, variations : 0.56, in : 0, lighting : 0.42, angles : 0.51, orientation : 0.44, ensuring : 0.33, high : 0, accuracy : 0.5, approach : 0.67, addresses : 0.46, limitations : 0.31, traditional : 0.44, methods : 0.42, such : 0.46, as : 0.75, human : 0.44, error : 0.44, inconsistencies : 0.41, by : 0.59, providing : 0, an : 0.54, automated : 0.57, reliable : 0.33, solution : 0.5, real : 0.42, time : 0.46, detection : 0.49, results : 0.49, demonstrate : 0.45, overall : 0.35, 97 : 0, with : 0, robust : 0.63, precision : 0.32, recall : 0.36, f1 : 0, scores : 0.53, across : 0.53, all : 0.49, categories : 0.45, highlights : 0.32, importance : 0.45, diverse : 0.35, datasets : 0.65, proposes : 0.42, further : 0.43, integration : 0.38, contextual : 0.39, factors : 0.51, like : 0.46, environmental : 0.47, conditions : 0.41, enhance : 0.35, applicability : 0.6, system : 0.51, offers : 0.36, a : 0.71, practical : 0.46, tool : 0, agriculture : 0.48, improving : 0.41, harvesting : 0.55, reducing : 0.42, waste : 0.68, supporting : 0.56, sustainable : 0.5, practices : 0.49 |
| 5. or | 114 words | 0.79 | advanced : 0, classification : 0, of : 0.7, oil : 0.65, palm : 0, fruit : 0.57, ripeness : 0.54, deep : 0, learning : 0.54, for : 0, enhanced : 0, agricultural : 0.53, efficiency : 0, accurate : 0.54, determination : 0.53, is : 0, crucial : 0.55, optimizing : 0.58, yield : 0, and : 0, enhancing : 0, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0.53, neural : 0.56, networks : 0, cnns : 0, to : 0, classify : 0, into : 0, four : 0.58, stages : 0, raw : 0, under : 0, ripe : 0.58, overripe : 0.78, the : 0, model : 0.57, leverages : 0.54, extensive : 0, data : 0, preprocessing : 0.55, augmentation : 0, techniques : 0, handle : 0, variations : 0.53, in : 0, lighting : 0, angles : 0, orientation : 0.78, ensuring : 0.54, high : 0, accuracy : 0.54, approach : 0.54, addresses : 0.54, limitations : 0, traditional : 0.53, methods : 0, such : 0, as : 0, human : 0, error : 0.57, inconsistencies : 0.52, by : 0, providing : 0.57, an : 0, automated : 0.54, reliable : 0.54, solution : 0.54, real : 0.58, time : 0, detection : 0, results : 0.55, demonstrate : 0.53, overall : 0.79, 97 : 0, with : 0, robust : 0.61, precision : 0.54, recall : 0.56, f1 : 0, scores : 0.78, across : 0.56, all : 0, categories : 0, highlights : 0, importance : 0.73, diverse : 0, datasets : 0, proposes : 0.58, further : 0.55, integration : 0.53, contextual : 0.53, factors : 0, like : 0, environmental : 0.55, conditions : 0.53, enhance : 0, applicability : 0, system : 0, offers : 0.6, a : 0, practical : 0.54, tool : 0.58, agriculture : 0.53, improving : 0.54, harvesting : 0.53, reducing : 0.54, waste : 0, supporting : 0.73, sustainable : 0, practices : 0.54 |
| 6. exit | 114 words | 0.76 | advanced : 0, classification : 0.44, of : 0, oil : 0.53, palm : 0, fruit : 0.63, ripeness : 0.42, deep : 0.5, learning : 0.58, for : 0, enhanced : 0.51, agricultural : 0.56, efficiency : 0.61, accurate : 0.46, determination : 0.55, is : 0, crucial : 0.46, optimizing : 0.4, yield : 0.48, and : 0, enhancing : 0.51, this : 0.5, study : 0, utilizes : 0.42, specifically : 0.56, convolutional : 0.44, neural : 0.47, networks : 0.58, cnns : 0, to : 0, classify : 0.46, into : 0.5, four : 0, stages : 0.47, raw : 0, under : 0, ripe : 0.5, overripe : 0.58, the : 0, model : 0, leverages : 0.45, extensive : 0.76, data : 0.5, preprocessing : 0.44, augmentation : 0.56, techniques : 0.52, handle : 0, variations : 0.57, in : 0, lighting : 0.58, angles : 0, orientation : 0.56, ensuring : 0.63, high : 0.5, accuracy : 0, approach : 0, addresses : 0, limitations : 0.56, traditional : 0.39, methods : 0.6, such : 0, as : 0, human : 0, error : 0.54, inconsistencies : 0.54, by : 0, providing : 0.45, an : 0, automated : 0.45, reliable : 0.58, solution : 0.42, real : 0.5, time : 0.5, detection : 0.57, results : 0.6, demonstrate : 0.56, overall : 0.46, 97 : 0, with : 0.67, robust : 0.47, precision : 0.57, recall : 0.47, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.4, highlights : 0.45, importance : 0.57, diverse : 0.46, datasets : 0.46, proposes : 0, further : 0.46, integration : 0.51, contextual : 0.52, factors : 0.46, like : 0.5, environmental : 0.6, conditions : 0.57, enhance : 0.52, applicability : 0.44, system : 0.47, offers : 0, a : 0, practical : 0.41, tool : 0, agriculture : 0.56, improving : 0.45, harvesting : 0.57, reducing : 0.58, waste : 0.48, supporting : 0.45, sustainable : 0.39, practices : 0.41 |
| 7. no | 114 words | 0.78 | advanced : 0, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0, deep : 0, learning : 0, for : 0.61, enhanced : 0.54, agricultural : 0, efficiency : 0, accurate : 0, determination : 0, is : 0, crucial : 0, optimizing : 0.53, yield : 0, and : 0, enhancing : 0.54, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0.55, neural : 0.6, networks : 0.78, cnns : 0.58, to : 0.67, classify : 0, into : 0.58, four : 0.58, stages : 0, raw : 0, under : 0.57, ripe : 0, overripe : 0.54, the : 0, model : 0.57, leverages : 0, extensive : 0, data : 0, preprocessing : 0.53, augmentation : 0.53, techniques : 0.53, handle : 0.56, variations : 0, in : 0, lighting : 0, angles : 0.56, orientation : 0.56, ensuring : 0.54, high : 0, accuracy : 0, approach : 0.54, addresses : 0, limitations : 0, traditional : 0, methods : 0, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.71, by : 0, providing : 0.54, an : 0, automated : 0.54, reliable : 0, solution : 0.54, real : 0, time : 0, detection : 0, results : 0, demonstrate : 0.56, overall : 0.55, 97 : 0, with : 0, robust : 0.56, precision : 0, recall : 0, f1 : 0, scores : 0.56, across : 0.56, all : 0, categories : 0.53, highlights : 0, importance : 0.53, diverse : 0, datasets : 0, proposes : 0.54, further : 0, integration : 0.53, contextual : 0.57, factors : 0, like : 0, environmental : 0.72, conditions : 0.57, enhance : 0.55, applicability : 0, system : 0, offers : 0.56, a : 0, practical : 0, tool : 0.58, agriculture : 0, improving : 0.54, harvesting : 0, reducing : 0, waste : 0, supporting : 0.53, sustainable : 0, practices : 0 |
| 8. direct | 114 words | 0.73 | advanced : 0.51, classification : 0.46, of : 0, oil : 0.5, palm : 0, fruit : 0.59, ripeness : 0.51, deep : 0.65, learning : 0.36, for : 0.5, enhanced : 0.53, agricultural : 0.58, efficiency : 0.49, accurate : 0.51, determination : 0.65, is : 0.56, crucial : 0.54, optimizing : 0.34, yield : 0.58, and : 0.5, enhancing : 0.52, this : 0.47, study : 0, utilizes : 0.53, specifically : 0.42, convolutional : 0.5, neural : 0.39, networks : 0.46, cnns : 0, to : 0, classify : 0, into : 0.47, four : 0.47, stages : 0.44, raw : 0.5, under : 0.59, ripe : 0.64, overripe : 0.36, the : 0.5, model : 0.58, leverages : 0.35, extensive : 0.52, data : 0.52, preprocessing : 0.58, augmentation : 0.5, techniques : 0.43, handle : 0.44, variations : 0.49, in : 0.56, lighting : 0.53, angles : 0.44, orientation : 0.59, ensuring : 0.36, high : 0.47, accuracy : 0.36, approach : 0.53, addresses : 0.61, limitations : 0.51, traditional : 0.55, methods : 0.44, such : 0.47, as : 0, human : 0, error : 0.46, inconsistencies : 0.52, by : 0, providing : 0.35, an : 0, automated : 0.43, reliable : 0.46, solution : 0.43, real : 0.61, time : 0.61, detection : 0.66, results : 0.64, demonstrate : 0.63, overall : 0.37, 97 : 0, with : 0.47, robust : 0.56, precision : 0.54, recall : 0.67, f1 : 0, scores : 0.56, across : 0.44, all : 0, categories : 0.52, highlights : 0.51, importance : 0.61, diverse : 0.73, datasets : 0.56, proposes : 0.53, further : 0.53, integration : 0.59, contextual : 0.43, factors : 0.54, like : 0.61, environmental : 0.53, conditions : 0.56, enhance : 0.44, applicability : 0.5, system : 0.39, offers : 0.39, a : 0, practical : 0.61, tool : 0, agriculture : 0.59, improving : 0.52, harvesting : 0.6, reducing : 0.6, waste : 0.41, supporting : 0.51, sustainable : 0.34, practices : 0.61 |
| 9. script | 114 words | 0.75 | advanced : 0, classification : 0.57, of : 0, oil : 0.5, palm : 0, fruit : 0.7, ripeness : 0.63, deep : 0.47, learning : 0.53, for : 0.5, enhanced : 0, agricultural : 0.54, efficiency : 0.34, accurate : 0.63, determination : 0.41, is : 0.56, crucial : 0.64, optimizing : 0.43, yield : 0.46, and : 0, enhancing : 0.43, this : 0.47, study : 0.51, utilizes : 0.43, specifically : 0.59, convolutional : 0.47, neural : 0.44, networks : 0.36, cnns : 0.47, to : 0, classify : 0.51, into : 0, four : 0.47, stages : 0.5, raw : 0.5, under : 0.46, ripe : 0.75, overripe : 0.63, the : 0, model : 0, leverages : 0.43, extensive : 0.35, data : 0, preprocessing : 0.47, augmentation : 0.42, techniques : 0.51, handle : 0, variations : 0.6, in : 0, lighting : 0.53, angles : 0, orientation : 0.59, ensuring : 0.63, high : 0.47, accuracy : 0.53, approach : 0.36, addresses : 0.43, limitations : 0.51, traditional : 0.59, methods : 0, such : 0.65, as : 0.56, human : 0, error : 0.46, inconsistencies : 0.56, by : 0, providing : 0.52, an : 0, automated : 0.43, reliable : 0.53, solution : 0.56, real : 0.47, time : 0.47, detection : 0.44, results : 0.53, demonstrate : 0.42, overall : 0.44, 97 : 0, with : 0.47, robust : 0.56, precision : 0.5, recall : 0.39, f1 : 0, scores : 0.73, across : 0.56, all : 0, categories : 0.56, highlights : 0.51, importance : 0.56, diverse : 0.37, datasets : 0.43, proposes : 0.53, further : 0.54, integration : 0.42, contextual : 0.51, factors : 0.54, like : 0.47, environmental : 0.47, conditions : 0.6, enhance : 0, applicability : 0.47, system : 0.6, offers : 0.44, a : 0, practical : 0.54, tool : 0, agriculture : 0.55, improving : 0.44, harvesting : 0.49, reducing : 0.51, waste : 0.58, supporting : 0.68, sustainable : 0.53, practices : 0.54 |
| 10. access | 114 words | 0.82 | advanced : 0.66, classification : 0.6, of : 0, oil : 0, palm : 0.47, fruit : 0, ripeness : 0.63, deep : 0.47, learning : 0.36, for : 0, enhanced : 0.46, agricultural : 0.55, efficiency : 0.34, accurate : 0.74, determination : 0.41, is : 0, crucial : 0.54, optimizing : 0, yield : 0.46, and : 0.55, enhancing : 0.44, this : 0.47, study : 0, utilizes : 0.53, specifically : 0.5, convolutional : 0.41, neural : 0.44, networks : 0.53, cnns : 0.61, to : 0, classify : 0.64, into : 0, four : 0, stages : 0.67, raw : 0.5, under : 0.46, ripe : 0.47, overripe : 0.43, the : 0.5, model : 0.46, leverages : 0.52, extensive : 0.52, data : 0.47, preprocessing : 0.57, augmentation : 0.55, techniques : 0.49, handle : 0.56, variations : 0.51, in : 0, lighting : 0, angles : 0.7, orientation : 0.42, ensuring : 0.53, high : 0, accuracy : 0.74, approach : 0.49, addresses : 0.73, limitations : 0, traditional : 0.42, methods : 0.54, such : 0.47, as : 0.6, human : 0, error : 0, inconsistencies : 0.56, by : 0, providing : 0, an : 0.6, automated : 0.48, reliable : 0.43, solution : 0, real : 0.44, time : 0.47, detection : 0.35, results : 0.64, demonstrate : 0.51, overall : 0.44, 97 : 0, with : 0, robust : 0.44, precision : 0.5, recall : 0.39, f1 : 0, scores : 0.67, across : 0.82, all : 0.55, categories : 0.61, highlights : 0.42, importance : 0, diverse : 0.54, datasets : 0.64, proposes : 0.51, further : 0.44, integration : 0.42, contextual : 0.51, factors : 0.64, like : 0.47, environmental : 0.41, conditions : 0.51, enhance : 0, applicability : 0.55, system : 0.39, offers : 0.56, a : 0.75, practical : 0.52, tool : 0, agriculture : 0.55, improving : 0, harvesting : 0.6, reducing : 0.36, waste : 0.59, supporting : 0.42, sustainable : 0.48, practices : 0.61 |
| 11. allowed | 114 words | 0.87 | advanced : 0.64, classification : 0.31, of : 0, oil : 0.49, palm : 0.6, fruit : 0, ripeness : 0.42, deep : 0, learning : 0.35, for : 0.49, enhanced : 0.6, agricultural : 0.54, efficiency : 0.41, accurate : 0.56, determination : 0.41, is : 0, crucial : 0, optimizing : 0.41, yield : 0.56, and : 0.54, enhancing : 0.42, this : 0, study : 0, utilizes : 0.51, specifically : 0.41, convolutional : 0.31, neural : 0, networks : 0.35, cnns : 0, to : 0.55, classify : 0.35, into : 0.46, four : 0.46, stages : 0.54, raw : 0.65, under : 0.45, ripe : 0.46, overripe : 0.51, the : 0, model : 0.51, leverages : 0.5, extensive : 0.42, data : 0.46, preprocessing : 0.31, augmentation : 0.54, techniques : 0.41, handle : 0.64, variations : 0.5, in : 0, lighting : 0.42, angles : 0.68, orientation : 0.49, ensuring : 0, high : 0, accuracy : 0.48, approach : 0.56, addresses : 0.55, limitations : 0.41, traditional : 0.46, methods : 0.52, such : 0, as : 0.59, human : 0, error : 0.45, inconsistencies : 0.47, by : 0, providing : 0.5, an : 0.59, automated : 0.7, reliable : 0.51, solution : 0.35, real : 0.6, time : 0.46, detection : 0.42, results : 0.43, demonstrate : 0.32, overall : 0, 97 : 0, with : 0, robust : 0.44, precision : 0.42, recall : 0.44, f1 : 0, scores : 0.54, across : 0.59, all : 0.87, categories : 0.47, highlights : 0.41, importance : 0.5, diverse : 0.43, datasets : 0.51, proposes : 0.51, further : 0.43, integration : 0.41, contextual : 0.5, factors : 0.52, like : 0.6, environmental : 0.31, conditions : 0.5, enhance : 0.43, applicability : 0.53, system : 0.44, offers : 0.44, a : 0.74, practical : 0.42, tool : 0.43, agriculture : 0.54, improving : 0.42, harvesting : 0.5, reducing : 0, waste : 0.56, supporting : 0.41, sustainable : 0.41, practices : 0.5 |
| 12. doctype | 114 words | 0.68 | advanced : 0.6, classification : 0.4, of : 0.55, oil : 0.49, palm : 0, fruit : 0.45, ripeness : 0.51, deep : 0.64, learning : 0, for : 0.49, enhanced : 0.51, agricultural : 0.48, efficiency : 0.5, accurate : 0.6, determination : 0.5, is : 0, crucial : 0.43, optimizing : 0.47, yield : 0, and : 0.49, enhancing : 0.42, this : 0, study : 0.56, utilizes : 0.51, specifically : 0.39, convolutional : 0.44, neural : 0, networks : 0.35, cnns : 0.46, to : 0.55, classify : 0.51, into : 0.43, four : 0.46, stages : 0.54, raw : 0, under : 0.45, ripe : 0, overripe : 0.6, the : 0, model : 0.4, leverages : 0.42, extensive : 0.5, data : 0.64, preprocessing : 0.46, augmentation : 0.32, techniques : 0.47, handle : 0.44, variations : 0.41, in : 0, lighting : 0.42, angles : 0.44, orientation : 0.46, ensuring : 0, high : 0, accuracy : 0.51, approach : 0.35, addresses : 0.5, limitations : 0.41, traditional : 0.32, methods : 0.43, such : 0.46, as : 0, human : 0, error : 0.45, inconsistencies : 0.53, by : 0, providing : 0.42, an : 0, automated : 0.48, reliable : 0.42, solution : 0.51, real : 0, time : 0, detection : 0.59, results : 0.43, demonstrate : 0.68, overall : 0.43, 97 : 0, with : 0.46, robust : 0.54, precision : 0.42, recall : 0.44, f1 : 0, scores : 0.53, across : 0.37, all : 0, categories : 0.49, highlights : 0, importance : 0.53, diverse : 0.57, datasets : 0.64, proposes : 0.6, further : 0.52, integration : 0.49, contextual : 0.57, factors : 0.52, like : 0, environmental : 0.48, conditions : 0.57, enhance : 0.43, applicability : 0.31, system : 0.54, offers : 0.44, a : 0, practical : 0.5, tool : 0.46, agriculture : 0.57, improving : 0.34, harvesting : 0.33, reducing : 0.51, waste : 0.56, supporting : 0.41, sustainable : 0.49, practices : 0.59 |
| 13. html | 114 words | 0.67 | advanced : 0, classification : 0.44, of : 0, oil : 0.53, palm : 0.5, fruit : 0, ripeness : 0, deep : 0, learning : 0.46, for : 0, enhanced : 0.46, agricultural : 0.44, efficiency : 0, accurate : 0, determination : 0.55, is : 0, crucial : 0, optimizing : 0.57, yield : 0.48, and : 0, enhancing : 0.45, this : 0.5, study : 0.48, utilizes : 0.58, specifically : 0, convolutional : 0.44, neural : 0.47, networks : 0.46, cnns : 0, to : 0.58, classify : 0.46, into : 0.5, four : 0, stages : 0.47, raw : 0, under : 0, ripe : 0, overripe : 0, the : 0.56, model : 0.48, leverages : 0.45, extensive : 0.45, data : 0.5, preprocessing : 0, augmentation : 0.39, techniques : 0.4, handle : 0.65, variations : 0.45, in : 0, lighting : 0.54, angles : 0.47, orientation : 0.45, ensuring : 0, high : 0.55, accuracy : 0, approach : 0, addresses : 0, limitations : 0.56, traditional : 0.45, methods : 0.43, such : 0, as : 0, human : 0.67, error : 0, inconsistencies : 0, by : 0, providing : 0, an : 0, automated : 0.57, reliable : 0.46, solution : 0.42, real : 0.5, time : 0.67, detection : 0.45, results : 0.46, demonstrate : 0.45, overall : 0.46, 97 : 0, with : 0.5, robust : 0, precision : 0, recall : 0.47, f1 : 0, scores : 0, across : 0, all : 0.53, categories : 0.45, highlights : 0.61, importance : 0.4, diverse : 0, datasets : 0.46, proposes : 0, further : 0.46, integration : 0.45, contextual : 0.45, factors : 0.46, like : 0, environmental : 0.44, conditions : 0.45, enhance : 0.46, applicability : 0.44, system : 0.47, offers : 0, a : 0, practical : 0.45, tool : 0.67, agriculture : 0.45, improving : 0.45, harvesting : 0.51, reducing : 0, waste : 0, supporting : 0, sustainable : 0.45, practices : 0.45 |
| 14. lang | 114 words | 0.83 | advanced : 0.58, classification : 0.55, of : 0, oil : 0, palm : 0.5, fruit : 0, ripeness : 0.46, deep : 0, learning : 0.74, for : 0, enhanced : 0.42, agricultural : 0.56, efficiency : 0, accurate : 0.46, determination : 0.44, is : 0, crucial : 0, optimizing : 0, yield : 0, and : 0.72, enhancing : 0.41, this : 0, study : 0, utilizes : 0.46, specifically : 0, convolutional : 0.38, neural : 0.47, networks : 0.46, cnns : 0.5, to : 0, classify : 0.58, into : 0.5, four : 0, stages : 0.61, raw : 0.53, under : 0.48, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0.62, extensive : 0.45, data : 0.5, preprocessing : 0, augmentation : 0.56, techniques : 0.45, handle : 0.61, variations : 0.45, in : 0.58, lighting : 0.63, angles : 0.75, orientation : 0.45, ensuring : 0.46, high : 0.5, accuracy : 0.46, approach : 0.46, addresses : 0.45, limitations : 0.6, traditional : 0.45, methods : 0, such : 0, as : 0.58, human : 0, error : 0, inconsistencies : 0.44, by : 0, providing : 0, an : 0.83, automated : 0.45, reliable : 0.58, solution : 0.46, real : 0.5, time : 0, detection : 0, results : 0, demonstrate : 0.45, overall : 0, 97 : 0, with : 0, robust : 0, precision : 0, recall : 0.47, f1 : 0, scores : 0, across : 0.47, all : 0.56, categories : 0.57, highlights : 0.4, importance : 0, diverse : 0, datasets : 0.46, proposes : 0, further : 0, integration : 0.56, contextual : 0.45, factors : 0.46, like : 0.55, environmental : 0.44, conditions : 0.45, enhance : 0.43, applicability : 0.38, system : 0, offers : 0, a : 0.75, practical : 0.45, tool : 0, agriculture : 0.56, improving : 0, harvesting : 0.45, reducing : 0, waste : 0.48, supporting : 0, sustainable : 0.56, practices : 0.45 |
| 15. en | 114 words | 0.81 | advanced : 0.54, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0.75, deep : 0.58, learning : 0.75, for : 0, enhanced : 0.8, agricultural : 0, efficiency : 0.58, accurate : 0, determination : 0.53, is : 0, crucial : 0, optimizing : 0, yield : 0, and : 0.61, enhancing : 0.79, this : 0, study : 0, utilizes : 0, specifically : 0.53, convolutional : 0.53, neural : 0.61, networks : 0.58, cnns : 0.58, to : 0, classify : 0, into : 0.58, four : 0, stages : 0, raw : 0, under : 0.57, ripe : 0, overripe : 0.54, the : 0, model : 0, leverages : 0.54, extensive : 0.77, data : 0, preprocessing : 0.53, augmentation : 0.72, techniques : 0.73, handle : 0.56, variations : 0, in : 0.67, lighting : 0, angles : 0.56, orientation : 0.73, ensuring : 0.8, high : 0, accuracy : 0, approach : 0, addresses : 0, limitations : 0, traditional : 0, methods : 0.55, such : 0, as : 0, human : 0, error : 0.61, inconsistencies : 0.52, by : 0, providing : 0, an : 0.67, automated : 0, reliable : 0.54, solution : 0, real : 0.58, time : 0, detection : 0.54, results : 0.55, demonstrate : 0.73, overall : 0.55, 97 : 0, with : 0, robust : 0, precision : 0.54, recall : 0.56, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.53, highlights : 0, importance : 0, diverse : 0, datasets : 0, proposes : 0, further : 0, integration : 0.56, contextual : 0.57, factors : 0, like : 0, environmental : 0.77, conditions : 0.53, enhance : 0.81, applicability : 0, system : 0, offers : 0, a : 0, practical : 0, tool : 0, agriculture : 0, improving : 0, harvesting : 0.53, reducing : 0.54, waste : 0, supporting : 0, sustainable : 0, practices : 0 |
| 16. head | 114 words | 0.78 | advanced : 0.58, classification : 0.44, of : 0, oil : 0, palm : 0.5, fruit : 0, ripeness : 0.46, deep : 0.5, learning : 0.58, for : 0, enhanced : 0.6, agricultural : 0.44, efficiency : 0.45, accurate : 0.46, determination : 0.38, is : 0, crucial : 0, optimizing : 0, yield : 0.63, and : 0.53, enhancing : 0.58, this : 0.5, study : 0.48, utilizes : 0, specifically : 0.44, convolutional : 0, neural : 0.61, networks : 0.46, cnns : 0, to : 0, classify : 0.46, into : 0, four : 0, stages : 0.47, raw : 0.53, under : 0.48, ripe : 0, overripe : 0.46, the : 0.72, model : 0.48, leverages : 0.57, extensive : 0.45, data : 0.5, preprocessing : 0.44, augmentation : 0.39, techniques : 0.4, handle : 0.78, variations : 0.45, in : 0, lighting : 0.46, angles : 0.47, orientation : 0.56, ensuring : 0.46, high : 0.55, accuracy : 0.46, approach : 0.46, addresses : 0.53, limitations : 0.45, traditional : 0.56, methods : 0.6, such : 0, as : 0, human : 0.67, error : 0.48, inconsistencies : 0, by : 0, providing : 0.45, an : 0, automated : 0.45, reliable : 0.58, solution : 0, real : 0.67, time : 0, detection : 0.41, results : 0.46, demonstrate : 0.39, overall : 0.6, 97 : 0, with : 0, robust : 0, precision : 0.45, recall : 0.61, f1 : 0, scores : 0, across : 0.47, all : 0, categories : 0.4, highlights : 0.51, importance : 0.45, diverse : 0.46, datasets : 0.42, proposes : 0, further : 0, integration : 0.56, contextual : 0.45, factors : 0.46, like : 0, environmental : 0.44, conditions : 0.45, enhance : 0.62, applicability : 0.44, system : 0, offers : 0.47, a : 0, practical : 0.45, tool : 0, agriculture : 0.45, improving : 0, harvesting : 0.62, reducing : 0.58, waste : 0.48, supporting : 0, sustainable : 0.45, practices : 0.45 |
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| 21. http | 114 words | 0.61 | advanced : 0, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0.46, deep : 0.5, learning : 0, for : 0, enhanced : 0.46, agricultural : 0.44, efficiency : 0, accurate : 0, determination : 0.44, is : 0, crucial : 0, optimizing : 0.4, yield : 0, and : 0, enhancing : 0.45, this : 0.5, study : 0.48, utilizes : 0.46, specifically : 0.44, convolutional : 0.44, neural : 0, networks : 0.46, cnns : 0, to : 0.58, classify : 0, into : 0.5, four : 0, stages : 0.47, raw : 0, under : 0, ripe : 0.5, overripe : 0.46, the : 0.56, model : 0, leverages : 0, extensive : 0.45, data : 0.5, preprocessing : 0.44, augmentation : 0.44, techniques : 0.4, handle : 0.52, variations : 0.45, in : 0, lighting : 0.58, angles : 0, orientation : 0.45, ensuring : 0, high : 0.55, accuracy : 0, approach : 0.46, addresses : 0, limitations : 0.56, traditional : 0.56, methods : 0.46, such : 0, as : 0, human : 0.54, error : 0, inconsistencies : 0.44, by : 0, providing : 0.45, an : 0, automated : 0.45, reliable : 0, solution : 0.46, real : 0, time : 0.5, detection : 0.57, results : 0, demonstrate : 0.45, overall : 0, 97 : 0, with : 0.5, robust : 0, precision : 0.45, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.45, highlights : 0.51, importance : 0.4, diverse : 0, datasets : 0.46, proposes : 0.46, further : 0.46, integration : 0.45, contextual : 0.57, factors : 0.46, like : 0, environmental : 0, conditions : 0.45, enhance : 0.46, applicability : 0.44, system : 0.47, offers : 0, a : 0, practical : 0.41, tool : 0.5, agriculture : 0, improving : 0.45, harvesting : 0.61, reducing : 0, waste : 0.48, supporting : 0.4, sustainable : 0.45, practices : 0.41 |
| 22. equiv | 114 words | 0.69 | advanced : 0.44, classification : 0.42, of : 0, oil : 0, palm : 0, fruit : 0.6, ripeness : 0.38, deep : 0.48, learning : 0.55, for : 0, enhanced : 0.5, agricultural : 0.36, efficiency : 0.58, accurate : 0.44, determination : 0.52, is : 0, crucial : 0.56, optimizing : 0.43, yield : 0, and : 0, enhancing : 0.59, this : 0.48, study : 0.47, utilizes : 0.55, specifically : 0.52, convolutional : 0.44, neural : 0.58, networks : 0.44, cnns : 0, to : 0, classify : 0.44, into : 0, four : 0.48, stages : 0, raw : 0, under : 0, ripe : 0, overripe : 0.49, the : 0, model : 0, leverages : 0.54, extensive : 0.68, data : 0, preprocessing : 0.43, augmentation : 0.36, techniques : 0.53, handle : 0, variations : 0.37, in : 0, lighting : 0.44, angles : 0, orientation : 0.36, ensuring : 0.69, high : 0, accuracy : 0.44, approach : 0, addresses : 0, limitations : 0.43, traditional : 0.43, methods : 0.45, such : 0.48, as : 0, human : 0.47, error : 0.52, inconsistencies : 0.42, by : 0, providing : 0.37, an : 0, automated : 0.44, reliable : 0.55, solution : 0.55, real : 0.48, time : 0, detection : 0.54, results : 0.56, demonstrate : 0.43, overall : 0.45, 97 : 0, with : 0, robust : 0.46, precision : 0.54, recall : 0.46, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.53, highlights : 0.43, importance : 0.43, diverse : 0.56, datasets : 0, proposes : 0, further : 0.45, integration : 0.36, contextual : 0.43, factors : 0, like : 0, environmental : 0.55, conditions : 0.43, enhance : 0.5, applicability : 0.43, system : 0, offers : 0, a : 0, practical : 0.44, tool : 0, agriculture : 0.36, improving : 0.54, harvesting : 0.47, reducing : 0.66, waste : 0, supporting : 0.53, sustainable : 0.53, practices : 0.44 |
| 23. x | 114 words | 0.7 | advanced : 0, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0, deep : 0, learning : 0, for : 0, enhanced : 0, agricultural : 0, efficiency : 0, accurate : 0, determination : 0, is : 0, crucial : 0, optimizing : 0, yield : 0, and : 0, enhancing : 0, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0, neural : 0, networks : 0, cnns : 0, to : 0, classify : 0, into : 0, four : 0, stages : 0, raw : 0, under : 0, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0, extensive : 0.7, data : 0, preprocessing : 0, augmentation : 0, techniques : 0, handle : 0, variations : 0, in : 0, lighting : 0, angles : 0, orientation : 0, ensuring : 0, high : 0, accuracy : 0, approach : 0, addresses : 0, limitations : 0, traditional : 0, methods : 0, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0, by : 0, providing : 0, an : 0, automated : 0, reliable : 0, solution : 0, real : 0, time : 0, detection : 0, results : 0, demonstrate : 0, overall : 0, 97 : 0, with : 0, robust : 0, precision : 0, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0, highlights : 0, importance : 0, diverse : 0, datasets : 0, proposes : 0, further : 0, integration : 0, contextual : 0, factors : 0, like : 0, environmental : 0, conditions : 0, enhance : 0, applicability : 0, system : 0, offers : 0, a : 0, practical : 0, tool : 0, agriculture : 0, improving : 0, harvesting : 0, reducing : 0, waste : 0, supporting : 0, sustainable : 0, practices : 0 |
| 24. ua | 114 words | 0.73 | advanced : 0.54, classification : 0.52, of : 0, oil : 0, palm : 0.58, fruit : 0, ripeness : 0, deep : 0, learning : 0.54, for : 0, enhanced : 0.54, agricultural : 0.56, efficiency : 0, accurate : 0.58, determination : 0, is : 0, crucial : 0.55, optimizing : 0, yield : 0, and : 0, enhancing : 0.54, this : 0, study : 0, utilizes : 0.59, specifically : 0, convolutional : 0, neural : 0.56, networks : 0, cnns : 0, to : 0, classify : 0.54, into : 0, four : 0, stages : 0.56, raw : 0.61, under : 0.61, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0, extensive : 0, data : 0.58, preprocessing : 0, augmentation : 0.56, techniques : 0, handle : 0.56, variations : 0.53, in : 0, lighting : 0, angles : 0.56, orientation : 0, ensuring : 0.54, high : 0, accuracy : 0.58, approach : 0.54, addresses : 0.54, limitations : 0.53, traditional : 0.53, methods : 0, such : 0.58, as : 0, human : 0.57, error : 0, inconsistencies : 0, by : 0, providing : 0, an : 0, automated : 0.57, reliable : 0.54, solution : 0.54, real : 0.58, time : 0, detection : 0, results : 0, demonstrate : 0, overall : 0, 97 : 0, with : 0, robust : 0, precision : 0, recall : 0.56, f1 : 0, scores : 0, across : 0.56, all : 0, categories : 0.53, highlights : 0, importance : 0, diverse : 0, datasets : 0.54, proposes : 0, further : 0.55, integration : 0, contextual : 0, factors : 0.55, like : 0, environmental : 0, conditions : 0, enhance : 0.55, applicability : 0.53, system : 0, offers : 0, a : 0, practical : 0.54, tool : 0, agriculture : 0.53, improving : 0, harvesting : 0.53, reducing : 0.54, waste : 0.57, supporting : 0.53, sustainable : 0.73, practices : 0.54 |
| 25. compatible | 114 words | 0.7 | advanced : 0.48, classification : 0.53, of : 0.53, oil : 0.48, palm : 0.52, fruit : 0.37, ripeness : 0.48, deep : 0.45, learning : 0.48, for : 0.48, enhanced : 0.48, agricultural : 0.47, efficiency : 0.42, accurate : 0.55, determination : 0.4, is : 0, crucial : 0.62, optimizing : 0.53, yield : 0, and : 0.48, enhancing : 0.47, this : 0.45, study : 0.43, utilizes : 0.56, specifically : 0.51, convolutional : 0.62, neural : 0.51, networks : 0.32, cnns : 0.51, to : 0.53, classify : 0.6, into : 0.4, four : 0.45, stages : 0.34, raw : 0.48, under : 0, ripe : 0.45, overripe : 0.55, the : 0, model : 0.52, leverages : 0.47, extensive : 0.54, data : 0.57, preprocessing : 0.4, augmentation : 0.47, techniques : 0.53, handle : 0.6, variations : 0.42, in : 0, lighting : 0.48, angles : 0.42, orientation : 0.5, ensuring : 0.41, high : 0, accuracy : 0.32, approach : 0.45, addresses : 0.47, limitations : 0.5, traditional : 0.5, methods : 0.41, such : 0.45, as : 0.53, human : 0.53, error : 0.43, inconsistencies : 0.48, by : 0, providing : 0.43, an : 0.53, automated : 0.55, reliable : 0.64, solution : 0.56, real : 0.45, time : 0.45, detection : 0.43, results : 0.33, demonstrate : 0.52, overall : 0.58, 97 : 0, with : 0.45, robust : 0.51, precision : 0.43, recall : 0.6, f1 : 0, scores : 0.51, across : 0.43, all : 0.48, categories : 0.69, highlights : 0.42, importance : 0.59, diverse : 0.41, datasets : 0.56, proposes : 0.45, further : 0.5, integration : 0.41, contextual : 0.68, factors : 0.49, like : 0, environmental : 0.52, conditions : 0.61, enhance : 0.5, applicability : 0.58, system : 0.34, offers : 0.42, a : 0.7, practical : 0.67, tool : 0.45, agriculture : 0.58, improving : 0.49, harvesting : 0.53, reducing : 0.48, waste : 0.53, supporting : 0.52, sustainable : 0.66, practices : 0.67 |
| 26. content | 114 words | 0.89 | advanced : 0.51, classification : 0.53, of : 0.55, oil : 0.49, palm : 0, fruit : 0.45, ripeness : 0.35, deep : 0.46, learning : 0.49, for : 0.49, enhanced : 0.49, agricultural : 0.48, efficiency : 0.47, accurate : 0.6, determination : 0.54, is : 0, crucial : 0.49, optimizing : 0.58, yield : 0.45, and : 0.49, enhancing : 0.5, this : 0, study : 0.45, utilizes : 0.51, specifically : 0.32, convolutional : 0.79, neural : 0.44, networks : 0.57, cnns : 0.64, to : 0.55, classify : 0.48, into : 0.56, four : 0.46, stages : 0.54, raw : 0, under : 0.56, ripe : 0.46, overripe : 0.51, the : 0.49, model : 0.56, leverages : 0.42, extensive : 0.42, data : 0.46, preprocessing : 0.31, augmentation : 0.51, techniques : 0.49, handle : 0.54, variations : 0.5, in : 0.55, lighting : 0.51, angles : 0.54, orientation : 0.62, ensuring : 0.51, high : 0, accuracy : 0.42, approach : 0.42, addresses : 0.42, limitations : 0.46, traditional : 0.46, methods : 0.43, such : 0.46, as : 0, human : 0.45, error : 0.45, inconsistencies : 0.59, by : 0, providing : 0.5, an : 0.55, automated : 0.51, reliable : 0.42, solution : 0.6, real : 0, time : 0.46, detection : 0.51, results : 0.43, demonstrate : 0.59, overall : 0.52, 97 : 0, with : 0.46, robust : 0.54, precision : 0.48, recall : 0.44, f1 : 0, scores : 0.64, across : 0.54, all : 0, categories : 0.58, highlights : 0.41, importance : 0.58, diverse : 0.43, datasets : 0.6, proposes : 0.51, further : 0.52, integration : 0.65, contextual : 0.89, factors : 0.52, like : 0.46, environmental : 0.63, conditions : 0.82, enhance : 0.51, applicability : 0.48, system : 0.54, offers : 0.54, a : 0, practical : 0.5, tool : 0.46, agriculture : 0.49, improving : 0.5, harvesting : 0.47, reducing : 0.51, waste : 0.56, supporting : 0.58, sustainable : 0.32, practices : 0.59 |
| 27. ie | 114 words | 0.8 | advanced : 0, classification : 0.52, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0.75, deep : 0.58, learning : 0.54, for : 0, enhanced : 0.54, agricultural : 0.53, efficiency : 0.57, accurate : 0, determination : 0.53, is : 0.7, crucial : 0, optimizing : 0.53, yield : 0.8, and : 0, enhancing : 0.54, this : 0, study : 0, utilizes : 0.54, specifically : 0.56, convolutional : 0, neural : 0.56, networks : 0.54, cnns : 0, to : 0, classify : 0, into : 0.63, four : 0, stages : 0, raw : 0, under : 0, ripe : 0.58, overripe : 0.54, the : 0, model : 0, leverages : 0.54, extensive : 0.54, data : 0, preprocessing : 0.53, augmentation : 0.53, techniques : 0.53, handle : 0, variations : 0.53, in : 0.7, lighting : 0.54, angles : 0, orientation : 0.73, ensuring : 0.54, high : 0.58, accuracy : 0, approach : 0, addresses : 0.54, limitations : 0.53, traditional : 0.53, methods : 0.55, such : 0, as : 0, human : 0, error : 0.57, inconsistencies : 0.57, by : 0, providing : 0, an : 0, automated : 0, reliable : 0.58, solution : 0, real : 0.58, time : 0.58, detection : 0.54, results : 0.55, demonstrate : 0.53, overall : 0.55, 97 : 0, with : 0.58, robust : 0, precision : 0.54, recall : 0.56, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.53, highlights : 0.53, importance : 0.58, diverse : 0.76, datasets : 0, proposes : 0, further : 0, integration : 0.75, contextual : 0.53, factors : 0, like : 0.58, environmental : 0.55, conditions : 0.53, enhance : 0.55, applicability : 0.53, system : 0, offers : 0.56, a : 0, practical : 0, tool : 0, agriculture : 0.53, improving : 0.58, harvesting : 0.53, reducing : 0.54, waste : 0, supporting : 0, sustainable : 0, practices : 0 |
| 28. edge | 114 words | 0.72 | advanced : 0.58, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0.58, deep : 0.72, learning : 0.46, for : 0, enhanced : 0.63, agricultural : 0.44, efficiency : 0.61, accurate : 0, determination : 0.55, is : 0, crucial : 0, optimizing : 0, yield : 0.48, and : 0.53, enhancing : 0.51, this : 0, study : 0, utilizes : 0.46, specifically : 0.44, convolutional : 0, neural : 0.47, networks : 0.46, cnns : 0, to : 0, classify : 0, into : 0, four : 0, stages : 0.61, raw : 0, under : 0.63, ripe : 0.5, overripe : 0.46, the : 0.53, model : 0.63, leverages : 0.57, extensive : 0.62, data : 0.5, preprocessing : 0.55, augmentation : 0.39, techniques : 0.45, handle : 0.61, variations : 0, in : 0, lighting : 0.46, angles : 0.61, orientation : 0.45, ensuring : 0.51, high : 0.5, accuracy : 0, approach : 0, addresses : 0.57, limitations : 0, traditional : 0.45, methods : 0.46, such : 0, as : 0, human : 0, error : 0.54, inconsistencies : 0.44, by : 0, providing : 0, an : 0, automated : 0, reliable : 0.46, solution : 0, real : 0.5, time : 0.5, detection : 0.58, results : 0.46, demonstrate : 0.39, overall : 0.46, 97 : 0, with : 0, robust : 0, precision : 0.45, recall : 0.47, f1 : 0, scores : 0.47, across : 0, all : 0, categories : 0.57, highlights : 0.45, importance : 0, diverse : 0.6, datasets : 0.58, proposes : 0.46, further : 0.46, integration : 0.56, contextual : 0.45, factors : 0, like : 0.5, environmental : 0.6, conditions : 0.45, enhance : 0.52, applicability : 0, system : 0.47, offers : 0.47, a : 0, practical : 0, tool : 0, agriculture : 0.45, improving : 0, harvesting : 0.45, reducing : 0.58, waste : 0.48, supporting : 0, sustainable : 0, practices : 0 |
| 29. name | 114 words | 0.75 | advanced : 0.58, classification : 0.44, of : 0, oil : 0, palm : 0.67, fruit : 0, ripeness : 0.46, deep : 0.5, learning : 0.42, for : 0, enhanced : 0.54, agricultural : 0.44, efficiency : 0.45, accurate : 0.46, determination : 0.38, is : 0, crucial : 0, optimizing : 0.45, yield : 0.48, and : 0.56, enhancing : 0.53, this : 0, study : 0, utilizes : 0.46, specifically : 0.44, convolutional : 0.44, neural : 0.65, networks : 0.63, cnns : 0.5, to : 0, classify : 0.46, into : 0.5, four : 0, stages : 0.61, raw : 0.53, under : 0.63, ripe : 0.5, overripe : 0.46, the : 0.53, model : 0.48, leverages : 0.45, extensive : 0.45, data : 0.5, preprocessing : 0.44, augmentation : 0.61, techniques : 0.4, handle : 0.64, variations : 0.45, in : 0.58, lighting : 0, angles : 0.64, orientation : 0.39, ensuring : 0.42, high : 0, accuracy : 0.46, approach : 0.46, addresses : 0.57, limitations : 0.39, traditional : 0.45, methods : 0.6, such : 0, as : 0.58, human : 0.48, error : 0, inconsistencies : 0.54, by : 0, providing : 0, an : 0.67, automated : 0.57, reliable : 0.42, solution : 0, real : 0.5, time : 0.67, detection : 0.45, results : 0.46, demonstrate : 0.56, overall : 0.46, 97 : 0, with : 0, robust : 0, precision : 0.45, recall : 0.44, f1 : 0, scores : 0.47, across : 0.47, all : 0.53, categories : 0.57, highlights : 0, importance : 0.45, diverse : 0.46, datasets : 0.58, proposes : 0.46, further : 0.46, integration : 0.56, contextual : 0.57, factors : 0.46, like : 0.5, environmental : 0.49, conditions : 0.45, enhance : 0.6, applicability : 0.44, system : 0.47, offers : 0.47, a : 0.75, practical : 0.45, tool : 0, agriculture : 0.45, improving : 0.45, harvesting : 0.57, reducing : 0.46, waste : 0.63, supporting : 0, sustainable : 0.45, practices : 0.45 |
| 30. viewport | 114 words | 0.71 | advanced : 0.42, classification : 0.46, of : 0, oil : 0.49, palm : 0, fruit : 0.55, ripeness : 0.47, deep : 0.58, learning : 0.5, for : 0, enhanced : 0.42, agricultural : 0.43, efficiency : 0.32, accurate : 0.5, determination : 0.48, is : 0.54, crucial : 0.42, optimizing : 0.32, yield : 0.55, and : 0, enhancing : 0.41, this : 0.46, study : 0, utilizes : 0.42, specifically : 0.43, convolutional : 0.42, neural : 0.53, networks : 0.67, cnns : 0, to : 0, classify : 0, into : 0.58, four : 0.46, stages : 0.43, raw : 0.49, under : 0.55, ripe : 0.6, overripe : 0.58, the : 0.49, model : 0.44, leverages : 0.46, extensive : 0.41, data : 0, preprocessing : 0.44, augmentation : 0.43, techniques : 0.32, handle : 0.43, variations : 0.62, in : 0.54, lighting : 0.5, angles : 0.43, orientation : 0.54, ensuring : 0.5, high : 0.46, accuracy : 0.42, approach : 0.47, addresses : 0.32, limitations : 0.44, traditional : 0.44, methods : 0.51, such : 0, as : 0, human : 0, error : 0.66, inconsistencies : 0.53, by : 0, providing : 0.4, an : 0, automated : 0.49, reliable : 0.33, solution : 0.33, real : 0.46, time : 0.58, detection : 0.46, results : 0.51, demonstrate : 0.54, overall : 0.6, 97 : 0, with : 0.42, robust : 0.43, precision : 0.46, recall : 0.43, f1 : 0, scores : 0.46, across : 0.43, all : 0, categories : 0.56, highlights : 0.48, importance : 0.71, diverse : 0.61, datasets : 0.5, proposes : 0.33, further : 0.51, integration : 0.59, contextual : 0.39, factors : 0.51, like : 0.58, environmental : 0.6, conditions : 0.45, enhance : 0.42, applicability : 0.42, system : 0.43, offers : 0.53, a : 0, practical : 0.41, tool : 0.46, agriculture : 0.44, improving : 0.56, harvesting : 0.51, reducing : 0.42, waste : 0.38, supporting : 0.63, sustainable : 0.31, practices : 0.41 |
| 31. width | 114 words | 0.95 | advanced : 0.44, classification : 0.42, of : 0, oil : 0.51, palm : 0, fruit : 0.47, ripeness : 0.44, deep : 0, learning : 0, for : 0, enhanced : 0.44, agricultural : 0.52, efficiency : 0.43, accurate : 0.44, determination : 0.44, is : 0.57, crucial : 0, optimizing : 0.37, yield : 0.47, and : 0.51, enhancing : 0.44, this : 0.48, study : 0.47, utilizes : 0.38, specifically : 0.43, convolutional : 0.43, neural : 0, networks : 0.38, cnns : 0, to : 0, classify : 0, into : 0.63, four : 0, stages : 0.46, raw : 0, under : 0.47, ripe : 0.48, overripe : 0, the : 0, model : 0.47, leverages : 0, extensive : 0.44, data : 0.48, preprocessing : 0, augmentation : 0.43, techniques : 0.47, handle : 0.46, variations : 0.53, in : 0.57, lighting : 0.55, angles : 0, orientation : 0.53, ensuring : 0, high : 0.63, accuracy : 0, approach : 0.44, addresses : 0.44, limitations : 0.53, traditional : 0.51, methods : 0.56, such : 0.48, as : 0, human : 0, error : 0, inconsistencies : 0.51, by : 0, providing : 0.54, an : 0, automated : 0.44, reliable : 0.44, solution : 0.44, real : 0, time : 0.48, detection : 0.54, results : 0.45, demonstrate : 0.53, overall : 0, 97 : 0, with : 0.95, robust : 0.46, precision : 0.44, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.43, highlights : 0.37, importance : 0.53, diverse : 0.4, datasets : 0.55, proposes : 0, further : 0.56, integration : 0.53, contextual : 0.43, factors : 0.45, like : 0.48, environmental : 0.43, conditions : 0.52, enhance : 0.45, applicability : 0.43, system : 0.46, offers : 0, a : 0, practical : 0.44, tool : 0, agriculture : 0.53, improving : 0.44, harvesting : 0.37, reducing : 0.44, waste : 0.64, supporting : 0.43, sustainable : 0.36, practices : 0.44 |
| 32. device | 114 words | 0.8 | advanced : 0.72, classification : 0.33, of : 0, oil : 0.5, palm : 0, fruit : 0.46, ripeness : 0.51, deep : 0.69, learning : 0.53, for : 0, enhanced : 0.63, agricultural : 0.5, efficiency : 0.69, accurate : 0.53, determination : 0.66, is : 0, crucial : 0.37, optimizing : 0.42, yield : 0.41, and : 0.5, enhancing : 0.5, this : 0.47, study : 0, utilizes : 0.53, specifically : 0.47, convolutional : 0.41, neural : 0.44, networks : 0.43, cnns : 0, to : 0, classify : 0.43, into : 0, four : 0, stages : 0.44, raw : 0, under : 0.58, ripe : 0.44, overripe : 0.64, the : 0.5, model : 0.58, leverages : 0.61, extensive : 0.5, data : 0.52, preprocessing : 0.58, augmentation : 0.42, techniques : 0.61, handle : 0.44, variations : 0.51, in : 0, lighting : 0.43, angles : 0.44, orientation : 0.34, ensuring : 0.53, high : 0.47, accuracy : 0.43, approach : 0.43, addresses : 0.61, limitations : 0.42, traditional : 0.51, methods : 0.44, such : 0.47, as : 0, human : 0, error : 0.46, inconsistencies : 0.57, by : 0, providing : 0.52, an : 0, automated : 0.43, reliable : 0.63, solution : 0.43, real : 0.47, time : 0.44, detection : 0.78, results : 0.44, demonstrate : 0.6, overall : 0.37, 97 : 0, with : 0.47, robust : 0, precision : 0.5, recall : 0.56, f1 : 0, scores : 0.44, across : 0, all : 0, categories : 0.56, highlights : 0.42, importance : 0.6, diverse : 0.8, datasets : 0.58, proposes : 0.43, further : 0.44, integration : 0.34, contextual : 0.34, factors : 0.44, like : 0.44, environmental : 0.66, conditions : 0.43, enhance : 0.64, applicability : 0.5, system : 0.44, offers : 0.44, a : 0, practical : 0.35, tool : 0, agriculture : 0.51, improving : 0.35, harvesting : 0.49, reducing : 0.56, waste : 0.46, supporting : 0.42, sustainable : 0.42, practices : 0.5 |
| 33. initial | 114 words | 0.81 | advanced : 0.35, classification : 0.45, of : 0, oil : 0.49, palm : 0, fruit : 0.56, ripeness : 0.51, deep : 0, learning : 0.43, for : 0, enhanced : 0.51, agricultural : 0.47, efficiency : 0.5, accurate : 0.35, determination : 0.44, is : 0.59, crucial : 0.62, optimizing : 0.57, yield : 0.45, and : 0.49, enhancing : 0.48, this : 0.46, study : 0.45, utilizes : 0.57, specifically : 0.63, convolutional : 0.5, neural : 0.64, networks : 0.51, cnns : 0.46, to : 0, classify : 0.35, into : 0.78, four : 0, stages : 0.44, raw : 0, under : 0.45, ripe : 0.46, overripe : 0.42, the : 0, model : 0.45, leverages : 0.42, extensive : 0.48, data : 0.6, preprocessing : 0, augmentation : 0.47, techniques : 0.41, handle : 0.54, variations : 0.57, in : 0.81, lighting : 0.49, angles : 0.44, orientation : 0.66, ensuring : 0.51, high : 0.46, accuracy : 0.42, approach : 0.42, addresses : 0, limitations : 0.66, traditional : 0.59, methods : 0.43, such : 0, as : 0, human : 0.45, error : 0, inconsistencies : 0.69, by : 0, providing : 0.5, an : 0.55, automated : 0.5, reliable : 0.6, solution : 0.35, real : 0, time : 0.46, detection : 0.5, results : 0.36, demonstrate : 0.57, overall : 0.52, 97 : 0, with : 0.6, robust : 0.44, precision : 0.5, recall : 0.54, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.41, highlights : 0.47, importance : 0.62, diverse : 0.43, datasets : 0.51, proposes : 0, further : 0.43, integration : 0.73, contextual : 0.66, factors : 0.43, like : 0.46, environmental : 0.31, conditions : 0.49, enhance : 0.52, applicability : 0.46, system : 0.44, offers : 0, a : 0, practical : 0.59, tool : 0, agriculture : 0.46, improving : 0.55, harvesting : 0.41, reducing : 0.42, waste : 0.45, supporting : 0.5, sustainable : 0.52, practices : 0.48 |
| 34. scale | 114 words | 0.76 | advanced : 0.55, classification : 0.57, of : 0, oil : 0.51, palm : 0.63, fruit : 0, ripeness : 0.44, deep : 0, learning : 0.49, for : 0, enhanced : 0.55, agricultural : 0.51, efficiency : 0.37, accurate : 0.55, determination : 0.43, is : 0.57, crucial : 0.45, optimizing : 0, yield : 0.47, and : 0, enhancing : 0.44, this : 0, study : 0.52, utilizes : 0.55, specifically : 0.55, convolutional : 0.52, neural : 0.58, networks : 0.44, cnns : 0.48, to : 0, classify : 0.64, into : 0, four : 0, stages : 0.73, raw : 0.51, under : 0.47, ripe : 0.48, overripe : 0.44, the : 0, model : 0.43, leverages : 0.48, extensive : 0.44, data : 0.48, preprocessing : 0.35, augmentation : 0.52, techniques : 0.37, handle : 0.7, variations : 0.43, in : 0, lighting : 0.44, angles : 0.7, orientation : 0.36, ensuring : 0.44, high : 0, accuracy : 0.38, approach : 0.44, addresses : 0.54, limitations : 0.36, traditional : 0.43, methods : 0, such : 0.67, as : 0.57, human : 0.47, error : 0, inconsistencies : 0.49, by : 0, providing : 0, an : 0, automated : 0.54, reliable : 0.55, solution : 0.6, real : 0.63, time : 0.48, detection : 0.37, results : 0.56, demonstrate : 0.43, overall : 0.51, 97 : 0, with : 0, robust : 0, precision : 0.37, recall : 0.7, f1 : 0, scores : 0.76, across : 0.41, all : 0.51, categories : 0.63, highlights : 0.43, importance : 0.43, diverse : 0.45, datasets : 0.55, proposes : 0.44, further : 0.45, integration : 0.36, contextual : 0.53, factors : 0.4, like : 0.48, environmental : 0.43, conditions : 0.43, enhance : 0.56, applicability : 0.44, system : 0.62, offers : 0.46, a : 0, practical : 0.37, tool : 0.48, agriculture : 0.51, improving : 0, harvesting : 0.53, reducing : 0.38, waste : 0.6, supporting : 0.49, sustainable : 0.57, practices : 0.53 |
| 35. 1 | 114 words | 0 | advanced : 0, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0, deep : 0, learning : 0, for : 0, enhanced : 0, agricultural : 0, efficiency : 0, accurate : 0, determination : 0, is : 0, crucial : 0, optimizing : 0, yield : 0, and : 0, enhancing : 0, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0, neural : 0, networks : 0, cnns : 0, to : 0, classify : 0, into : 0, four : 0, stages : 0, raw : 0, under : 0, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0, extensive : 0, data : 0, preprocessing : 0, augmentation : 0, techniques : 0, handle : 0, variations : 0, in : 0, lighting : 0, angles : 0, orientation : 0, ensuring : 0, high : 0, accuracy : 0, approach : 0, addresses : 0, limitations : 0, traditional : 0, methods : 0, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0, by : 0, providing : 0, an : 0, automated : 0, reliable : 0, solution : 0, real : 0, time : 0, detection : 0, results : 0, demonstrate : 0, overall : 0, 97 : 0, with : 0, robust : 0, precision : 0, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0, highlights : 0, importance : 0, diverse : 0, datasets : 0, proposes : 0, further : 0, integration : 0, contextual : 0, factors : 0, like : 0, environmental : 0, conditions : 0, enhance : 0, applicability : 0, system : 0, offers : 0, a : 0, practical : 0, tool : 0, agriculture : 0, improving : 0, harvesting : 0, reducing : 0, waste : 0, supporting : 0, sustainable : 0, practices : 0 |
| 36. shrink | 114 words | 0.72 | advanced : 0.43, classification : 0.49, of : 0, oil : 0.5, palm : 0, fruit : 0.58, ripeness : 0.63, deep : 0, learning : 0.51, for : 0.5, enhanced : 0.36, agricultural : 0.5, efficiency : 0.51, accurate : 0.43, determination : 0.58, is : 0.56, crucial : 0.54, optimizing : 0.51, yield : 0.46, and : 0, enhancing : 0.44, this : 0.61, study : 0.51, utilizes : 0.43, specifically : 0.55, convolutional : 0.33, neural : 0.44, networks : 0.53, cnns : 0.47, to : 0, classify : 0.53, into : 0, four : 0.47, stages : 0.5, raw : 0.5, under : 0.46, ripe : 0.61, overripe : 0.53, the : 0.5, model : 0, leverages : 0.43, extensive : 0.35, data : 0, preprocessing : 0.41, augmentation : 0.42, techniques : 0.49, handle : 0.56, variations : 0.6, in : 0, lighting : 0.51, angles : 0, orientation : 0.59, ensuring : 0.56, high : 0.61, accuracy : 0.43, approach : 0.43, addresses : 0.43, limitations : 0.42, traditional : 0.59, methods : 0.44, such : 0.65, as : 0.56, human : 0.58, error : 0.46, inconsistencies : 0.4, by : 0, providing : 0.61, an : 0, automated : 0, reliable : 0.53, solution : 0.66, real : 0.47, time : 0.47, detection : 0.43, results : 0.37, demonstrate : 0.42, overall : 0.44, 97 : 0, with : 0.44, robust : 0.44, precision : 0.52, recall : 0.44, f1 : 0, scores : 0.6, across : 0.44, all : 0, categories : 0.51, highlights : 0.51, importance : 0.49, diverse : 0.37, datasets : 0, proposes : 0.43, further : 0.44, integration : 0.42, contextual : 0.42, factors : 0, like : 0.47, environmental : 0.47, conditions : 0.34, enhance : 0.54, applicability : 0.41, system : 0.5, offers : 0.44, a : 0, practical : 0.52, tool : 0, agriculture : 0.51, improving : 0.5, harvesting : 0.69, reducing : 0.63, waste : 0.46, supporting : 0.72, sustainable : 0.63, practices : 0.52 |
| 37. to | 114 words | 1 | advanced : 0, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0, deep : 0, learning : 0, for : 0.61, enhanced : 0, agricultural : 0, efficiency : 0, accurate : 0, determination : 0.53, is : 0, crucial : 0, optimizing : 0.57, yield : 0, and : 0, enhancing : 0, this : 0.63, study : 0.57, utilizes : 0.54, specifically : 0, convolutional : 0.53, neural : 0, networks : 0.75, cnns : 0, to : 1, classify : 0, into : 0, four : 0.58, stages : 0.56, raw : 0, under : 0, ripe : 0, overripe : 0.54, the : 0.65, model : 0.57, leverages : 0, extensive : 0.54, data : 0, preprocessing : 0.53, augmentation : 0, techniques : 0.58, handle : 0, variations : 0, in : 0, lighting : 0, angles : 0, orientation : 0.53, ensuring : 0, high : 0, accuracy : 0, approach : 0.54, addresses : 0, limitations : 0.53, traditional : 0.58, methods : 0.55, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.52, by : 0, providing : 0.54, an : 0, automated : 0.74, reliable : 0, solution : 0.54, real : 0, time : 0.63, detection : 0.54, results : 0, demonstrate : 0.53, overall : 0.55, 97 : 0, with : 0, robust : 0.56, precision : 0, recall : 0, f1 : 0, scores : 0.56, across : 0.56, all : 0, categories : 0.73, highlights : 0, importance : 0.53, diverse : 0, datasets : 0.54, proposes : 0.54, further : 0, integration : 0.53, contextual : 0.57, factors : 0, like : 0, environmental : 0.53, conditions : 0.53, enhance : 0, applicability : 0, system : 0, offers : 0.56, a : 0, practical : 0, tool : 0.87, agriculture : 0, improving : 0.54, harvesting : 0, reducing : 0, waste : 0, supporting : 0.53, sustainable : 0.53, practices : 0 |
| 38. fit | 114 words | 0.72 | advanced : 0, classification : 0.44, of : 0, oil : 0.56, palm : 0, fruit : 0.56, ripeness : 0.49, deep : 0, learning : 0, for : 0.6, enhanced : 0, agricultural : 0.61, efficiency : 0.62, accurate : 0, determination : 0.44, is : 0, crucial : 0, optimizing : 0.46, yield : 0.51, and : 0, enhancing : 0, this : 0.53, study : 0.51, utilizes : 0.47, specifically : 0.44, convolutional : 0.47, neural : 0, networks : 0.49, cnns : 0, to : 0, classify : 0, into : 0.72, four : 0.58, stages : 0.5, raw : 0, under : 0, ripe : 0.53, overripe : 0, the : 0, model : 0, leverages : 0, extensive : 0.48, data : 0.53, preprocessing : 0, augmentation : 0.47, techniques : 0.46, handle : 0, variations : 0.62, in : 0, lighting : 0.64, angles : 0, orientation : 0.62, ensuring : 0, high : 0.53, accuracy : 0, approach : 0, addresses : 0, limitations : 0.62, traditional : 0.45, methods : 0.49, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.6, by : 0, providing : 0.48, an : 0, automated : 0.48, reliable : 0.49, solution : 0.49, real : 0, time : 0.53, detection : 0.48, results : 0, demonstrate : 0.47, overall : 0, 97 : 0, with : 0.72, robust : 0, precision : 0.48, recall : 0, f1 : 0.65, scores : 0, across : 0, all : 0, categories : 0.48, highlights : 0.48, importance : 0.62, diverse : 0.49, datasets : 0.49, proposes : 0, further : 0.69, integration : 0.62, contextual : 0.48, factors : 0.69, like : 0.53, environmental : 0.47, conditions : 0.62, enhance : 0, applicability : 0.47, system : 0.5, offers : 0.5, a : 0, practical : 0.48, tool : 0, agriculture : 0.47, improving : 0.48, harvesting : 0.48, reducing : 0, waste : 0.51, supporting : 0.48, sustainable : 0.45, practices : 0.48 |
| 39. title | 114 words | 0.83 | advanced : 0.44, classification : 0.35, of : 0, oil : 0.69, palm : 0.48, fruit : 0, ripeness : 0.55, deep : 0, learning : 0.55, for : 0, enhanced : 0.44, agricultural : 0.51, efficiency : 0.37, accurate : 0.44, determination : 0.44, is : 0.57, crucial : 0, optimizing : 0.53, yield : 0.6, and : 0, enhancing : 0, this : 0.67, study : 0.47, utilizes : 0.77, specifically : 0.36, convolutional : 0.35, neural : 0.46, networks : 0.38, cnns : 0, to : 0.61, classify : 0.44, into : 0.63, four : 0, stages : 0.58, raw : 0, under : 0.47, ripe : 0.63, overripe : 0.44, the : 0.56, model : 0.43, leverages : 0.54, extensive : 0.54, data : 0.48, preprocessing : 0.43, augmentation : 0.36, techniques : 0.57, handle : 0.58, variations : 0.53, in : 0.57, lighting : 0.49, angles : 0.58, orientation : 0.51, ensuring : 0, high : 0.48, accuracy : 0, approach : 0, addresses : 0.44, limitations : 0.64, traditional : 0.66, methods : 0.45, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.6, by : 0, providing : 0.44, an : 0, automated : 0.54, reliable : 0.55, solution : 0.38, real : 0.48, time : 0.83, detection : 0.53, results : 0.45, demonstrate : 0.36, overall : 0.4, 97 : 0, with : 0.63, robust : 0, precision : 0.37, recall : 0.46, f1 : 0, scores : 0.46, across : 0, all : 0.51, categories : 0.53, highlights : 0.53, importance : 0.53, diverse : 0.56, datasets : 0.55, proposes : 0.44, further : 0.56, integration : 0.51, contextual : 0.52, factors : 0.45, like : 0.63, environmental : 0.35, conditions : 0.53, enhance : 0.45, applicability : 0.35, system : 0.58, offers : 0.46, a : 0, practical : 0.44, tool : 0.67, agriculture : 0.53, improving : 0.44, harvesting : 0.37, reducing : 0.44, waste : 0.6, supporting : 0.43, sustainable : 0.53, practices : 0.54 |
| 40. home | 114 words | 0.72 | advanced : 0.46, classification : 0, of : 0.58, oil : 0.53, palm : 0.5, fruit : 0, ripeness : 0.46, deep : 0.5, learning : 0.46, for : 0.53, enhanced : 0.42, agricultural : 0, efficiency : 0.45, accurate : 0, determination : 0.38, is : 0, crucial : 0, optimizing : 0.57, yield : 0.48, and : 0, enhancing : 0.41, this : 0.5, study : 0, utilizes : 0.46, specifically : 0.44, convolutional : 0.44, neural : 0.47, networks : 0.42, cnns : 0, to : 0.58, classify : 0, into : 0, four : 0.5, stages : 0.47, raw : 0, under : 0.48, ripe : 0.5, overripe : 0.58, the : 0.72, model : 0.63, leverages : 0.45, extensive : 0.45, data : 0, preprocessing : 0.38, augmentation : 0.56, techniques : 0.4, handle : 0.65, variations : 0, in : 0, lighting : 0.46, angles : 0.47, orientation : 0.56, ensuring : 0.46, high : 0.55, accuracy : 0, approach : 0.46, addresses : 0.45, limitations : 0.45, traditional : 0, methods : 0.6, such : 0, as : 0, human : 0.67, error : 0, inconsistencies : 0.54, by : 0, providing : 0.45, an : 0, automated : 0.57, reliable : 0.46, solution : 0.46, real : 0, time : 0.67, detection : 0.45, results : 0.46, demonstrate : 0.56, overall : 0.6, 97 : 0, with : 0, robust : 0.47, precision : 0.45, recall : 0.47, f1 : 0, scores : 0.61, across : 0.47, all : 0, categories : 0.4, highlights : 0.51, importance : 0.4, diverse : 0.46, datasets : 0.46, proposes : 0.58, further : 0.46, integration : 0.45, contextual : 0.57, factors : 0, like : 0.5, environmental : 0.49, conditions : 0.45, enhance : 0.46, applicability : 0, system : 0.47, offers : 0.61, a : 0, practical : 0, tool : 0.5, agriculture : 0, improving : 0.41, harvesting : 0.61, reducing : 0.46, waste : 0.48, supporting : 0.45, sustainable : 0, practices : 0 |
| 41. identitas | 114 words | 0.77 | advanced : 0.49, classification : 0.5, of : 0, oil : 0.48, palm : 0, fruit : 0.54, ripeness : 0.65, deep : 0.57, learning : 0.57, for : 0, enhanced : 0.49, agricultural : 0.53, efficiency : 0.45, accurate : 0.32, determination : 0.65, is : 0.58, crucial : 0.5, optimizing : 0.43, yield : 0.53, and : 0.46, enhancing : 0.56, this : 0.45, study : 0.37, utilizes : 0.56, specifically : 0.51, convolutional : 0.58, neural : 0.5, networks : 0.56, cnns : 0.45, to : 0, classify : 0.41, into : 0.72, four : 0, stages : 0.5, raw : 0, under : 0.48, ripe : 0.57, overripe : 0.49, the : 0.48, model : 0.54, leverages : 0.56, extensive : 0.57, data : 0.57, preprocessing : 0.41, augmentation : 0.67, techniques : 0.59, handle : 0.44, variations : 0.59, in : 0.77, lighting : 0.52, angles : 0.5, orientation : 0.76, ensuring : 0.57, high : 0.45, accuracy : 0.41, approach : 0.41, addresses : 0.56, limitations : 0.63, traditional : 0.63, methods : 0.59, such : 0, as : 0, human : 0.44, error : 0.44, inconsistencies : 0.61, by : 0, providing : 0.41, an : 0.54, automated : 0.44, reliable : 0.46, solution : 0.49, real : 0.45, time : 0.57, detection : 0.64, results : 0.59, demonstrate : 0.76, overall : 0.5, 97 : 0, with : 0.57, robust : 0.43, precision : 0.56, recall : 0.43, f1 : 0, scores : 0.52, across : 0.43, all : 0, categories : 0.53, highlights : 0.53, importance : 0.54, diverse : 0.59, datasets : 0.66, proposes : 0.41, further : 0.34, integration : 0.72, contextual : 0.59, factors : 0.5, like : 0.57, environmental : 0.55, conditions : 0.7, enhance : 0.5, applicability : 0.46, system : 0.35, offers : 0.52, a : 0, practical : 0.56, tool : 0, agriculture : 0.47, improving : 0.53, harvesting : 0.49, reducing : 0.48, waste : 0.37, supporting : 0.47, sustainable : 0.48, practices : 0.56 |
| 42. judul | 114 words | 0.6 | advanced : 0.44, classification : 0.42, of : 0, oil : 0, palm : 0, fruit : 0.47, ripeness : 0, deep : 0, learning : 0, for : 0, enhanced : 0, agricultural : 0.51, efficiency : 0, accurate : 0.44, determination : 0.43, is : 0, crucial : 0.56, optimizing : 0, yield : 0.47, and : 0.51, enhancing : 0, this : 0, study : 0.6, utilizes : 0.55, specifically : 0.43, convolutional : 0.35, neural : 0.58, networks : 0, cnns : 0, to : 0, classify : 0.44, into : 0, four : 0.48, stages : 0, raw : 0, under : 0.6, ripe : 0, overripe : 0, the : 0, model : 0.6, leverages : 0, extensive : 0, data : 0, preprocessing : 0, augmentation : 0.43, techniques : 0.43, handle : 0.58, variations : 0, in : 0, lighting : 0, angles : 0.46, orientation : 0, ensuring : 0.44, high : 0, accuracy : 0.44, approach : 0, addresses : 0.44, limitations : 0.43, traditional : 0.43, methods : 0, such : 0.48, as : 0, human : 0.47, error : 0, inconsistencies : 0, by : 0, providing : 0.44, an : 0, automated : 0.44, reliable : 0.44, solution : 0.38, real : 0.48, time : 0, detection : 0.44, results : 0.56, demonstrate : 0.43, overall : 0.45, 97 : 0, with : 0, robust : 0.46, precision : 0, recall : 0.46, f1 : 0, scores : 0, across : 0, all : 0, categories : 0, highlights : 0.43, importance : 0, diverse : 0.45, datasets : 0.44, proposes : 0, further : 0.45, integration : 0, contextual : 0.43, factors : 0, like : 0, environmental : 0, conditions : 0.43, enhance : 0, applicability : 0.43, system : 0, offers : 0, a : 0, practical : 0, tool : 0.48, agriculture : 0.53, improving : 0, harvesting : 0, reducing : 0.38, waste : 0, supporting : 0.43, sustainable : 0.43, practices : 0 |
| 43. description | 114 words | 0.81 | advanced : 0.48, classification : 0.62, of : 0, oil : 0.47, palm : 0, fruit : 0.62, ripeness : 0.53, deep : 0.74, learning : 0.62, for : 0.47, enhanced : 0.48, agricultural : 0.44, efficiency : 0.58, accurate : 0.55, determination : 0.72, is : 0.53, crucial : 0.57, optimizing : 0.52, yield : 0.51, and : 0.47, enhancing : 0.6, this : 0.39, study : 0.36, utilizes : 0.48, specifically : 0.54, convolutional : 0.55, neural : 0.51, networks : 0.48, cnns : 0.39, to : 0, classify : 0.44, into : 0, four : 0.45, stages : 0.34, raw : 0.47, under : 0.62, ripe : 0.62, overripe : 0.62, the : 0.47, model : 0.53, leverages : 0.47, extensive : 0.54, data : 0.5, preprocessing : 0.58, augmentation : 0.52, techniques : 0.52, handle : 0.51, variations : 0.72, in : 0, lighting : 0.62, angles : 0.51, orientation : 0.69, ensuring : 0.69, high : 0.45, accuracy : 0.48, approach : 0.44, addresses : 0.48, limitations : 0.64, traditional : 0.71, methods : 0.49, such : 0.56, as : 0.53, human : 0, error : 0.53, inconsistencies : 0.56, by : 0, providing : 0.6, an : 0, automated : 0.4, reliable : 0.44, solution : 0.63, real : 0.39, time : 0.39, detection : 0.81, results : 0.52, demonstrate : 0.66, overall : 0.49, 97 : 0, with : 0.45, robust : 0.48, precision : 0.79, recall : 0.42, f1 : 0, scores : 0.51, across : 0.42, all : 0, categories : 0.48, highlights : 0.41, importance : 0.5, diverse : 0.66, datasets : 0.58, proposes : 0.38, further : 0.4, integration : 0.64, contextual : 0.36, factors : 0.52, like : 0.39, environmental : 0.53, conditions : 0.73, enhance : 0.49, applicability : 0.48, system : 0.42, offers : 0.48, a : 0, practical : 0.44, tool : 0, agriculture : 0.45, improving : 0.48, harvesting : 0.58, reducing : 0.68, waste : 0.46, supporting : 0.6, sustainable : 0.49, practices : 0.44 |
| 44. author | 114 words | 0.79 | advanced : 0.49, classification : 0.41, of : 0, oil : 0, palm : 0.47, fruit : 0.58, ripeness : 0, deep : 0, learning : 0.53, for : 0, enhanced : 0.36, agricultural : 0.59, efficiency : 0, accurate : 0.66, determination : 0.5, is : 0, crucial : 0.44, optimizing : 0.34, yield : 0, and : 0.55, enhancing : 0.35, this : 0.61, study : 0.41, utilizes : 0.53, specifically : 0, convolutional : 0.41, neural : 0.56, networks : 0.63, cnns : 0, to : 0.56, classify : 0.43, into : 0.61, four : 0.61, stages : 0.39, raw : 0.5, under : 0.58, ripe : 0, overripe : 0.43, the : 0.67, model : 0, leverages : 0.43, extensive : 0.43, data : 0.61, preprocessing : 0.33, augmentation : 0.67, techniques : 0.51, handle : 0.44, variations : 0.56, in : 0, lighting : 0.36, angles : 0.5, orientation : 0.42, ensuring : 0.53, high : 0.47, accuracy : 0.66, approach : 0.56, addresses : 0.57, limitations : 0.51, traditional : 0.51, methods : 0.64, such : 0.61, as : 0.6, human : 0.46, error : 0.58, inconsistencies : 0.32, by : 0, providing : 0.43, an : 0.6, automated : 0.79, reliable : 0, solution : 0.46, real : 0.47, time : 0.47, detection : 0.52, results : 0.44, demonstrate : 0.48, overall : 0.44, 97 : 0, with : 0.61, robust : 0.44, precision : 0.43, recall : 0, f1 : 0, scores : 0.56, across : 0.6, all : 0.55, categories : 0.69, highlights : 0.42, importance : 0.43, diverse : 0.44, datasets : 0.53, proposes : 0.43, further : 0.75, integration : 0.51, contextual : 0.34, factors : 0.75, like : 0, environmental : 0.33, conditions : 0.34, enhance : 0.44, applicability : 0.47, system : 0.44, offers : 0.44, a : 0.75, practical : 0.52, tool : 0.61, agriculture : 0.53, improving : 0.35, harvesting : 0.52, reducing : 0.43, waste : 0.58, supporting : 0.56, sustainable : 0.42, practices : 0.52 |
| 45. firman | 114 words | 0.71 | advanced : 0.53, classification : 0.46, of : 0.56, oil : 0.5, palm : 0.47, fruit : 0.63, ripeness : 0.51, deep : 0, learning : 0.51, for : 0.7, enhanced : 0.53, agricultural : 0.47, efficiency : 0.6, accurate : 0.53, determination : 0.57, is : 0.56, crucial : 0.54, optimizing : 0.6, yield : 0.46, and : 0, enhancing : 0.52, this : 0.47, study : 0, utilizes : 0.43, specifically : 0.47, convolutional : 0.41, neural : 0.56, networks : 0.43, cnns : 0, to : 0, classify : 0.43, into : 0.47, four : 0.65, stages : 0.44, raw : 0.5, under : 0.46, ripe : 0.44, overripe : 0.43, the : 0, model : 0, leverages : 0.52, extensive : 0.43, data : 0.47, preprocessing : 0.41, augmentation : 0.47, techniques : 0.34, handle : 0, variations : 0.61, in : 0.56, lighting : 0.53, angles : 0, orientation : 0.51, ensuring : 0.53, high : 0.47, accuracy : 0.53, approach : 0.53, addresses : 0.43, limitations : 0.68, traditional : 0.55, methods : 0, such : 0, as : 0, human : 0.7, error : 0.46, inconsistencies : 0.49, by : 0, providing : 0.5, an : 0, automated : 0.52, reliable : 0.51, solution : 0.43, real : 0.61, time : 0.61, detection : 0.43, results : 0.44, demonstrate : 0.48, overall : 0.54, 97 : 0, with : 0.47, robust : 0.44, precision : 0.5, recall : 0.56, f1 : 0.6, scores : 0.44, across : 0.44, all : 0, categories : 0.34, highlights : 0.42, importance : 0.71, diverse : 0.54, datasets : 0.43, proposes : 0.43, further : 0.59, integration : 0.55, contextual : 0.34, factors : 0.49, like : 0.47, environmental : 0.49, conditions : 0.34, enhance : 0.54, applicability : 0.33, system : 0.44, offers : 0.56, a : 0, practical : 0.52, tool : 0, agriculture : 0.48, improving : 0.62, harvesting : 0.49, reducing : 0.53, waste : 0, supporting : 0.51, sustainable : 0.48, practices : 0.52 |
| 46. santosa | 114 words | 0.76 | advanced : 0.49, classification : 0.54, of : 0, oil : 0, palm : 0.46, fruit : 0.45, ripeness : 0.51, deep : 0, learning : 0.51, for : 0, enhanced : 0.35, agricultural : 0.56, efficiency : 0, accurate : 0.49, determination : 0.44, is : 0.55, crucial : 0.43, optimizing : 0.33, yield : 0, and : 0.65, enhancing : 0.34, this : 0.46, study : 0.61, utilizes : 0.51, specifically : 0.54, convolutional : 0.5, neural : 0.54, networks : 0.69, cnns : 0.6, to : 0, classify : 0.49, into : 0.73, four : 0, stages : 0.7, raw : 0.49, under : 0.45, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0.34, extensive : 0.48, data : 0.6, preprocessing : 0.48, augmentation : 0.63, techniques : 0.47, handle : 0.54, variations : 0.6, in : 0.55, lighting : 0.42, angles : 0.64, orientation : 0.52, ensuring : 0.35, high : 0, accuracy : 0.51, approach : 0.6, addresses : 0.5, limitations : 0.46, traditional : 0.56, methods : 0.62, such : 0.52, as : 0.6, human : 0.56, error : 0.45, inconsistencies : 0.52, by : 0, providing : 0.42, an : 0.76, automated : 0.67, reliable : 0.42, solution : 0.54, real : 0.46, time : 0, detection : 0.5, results : 0.62, demonstrate : 0.59, overall : 0.43, 97 : 0, with : 0.46, robust : 0.37, precision : 0.34, recall : 0.44, f1 : 0, scores : 0.68, across : 0.64, all : 0.49, categories : 0.66, highlights : 0.41, importance : 0.47, diverse : 0.43, datasets : 0.61, proposes : 0.51, further : 0.43, integration : 0.57, contextual : 0.53, factors : 0.71, like : 0, environmental : 0.55, conditions : 0.53, enhance : 0.36, applicability : 0.48, system : 0.59, offers : 0.44, a : 0.71, practical : 0.59, tool : 0.46, agriculture : 0.49, improving : 0.42, harvesting : 0.47, reducing : 0, waste : 0.57, supporting : 0.52, sustainable : 0.72, practices : 0.59 |
| 47. link | 114 words | 0.87 | advanced : 0.46, classification : 0.55, of : 0, oil : 0.53, palm : 0, fruit : 0, ripeness : 0.58, deep : 0, learning : 0.63, for : 0, enhanced : 0.46, agricultural : 0.44, efficiency : 0.45, accurate : 0, determination : 0.55, is : 0.58, crucial : 0, optimizing : 0.45, yield : 0.48, and : 0.53, enhancing : 0.45, this : 0.5, study : 0, utilizes : 0.42, specifically : 0.44, convolutional : 0.38, neural : 0.47, networks : 0.58, cnns : 0.5, to : 0, classify : 0.46, into : 0.67, four : 0, stages : 0, raw : 0, under : 0.48, ripe : 0.5, overripe : 0, the : 0, model : 0, leverages : 0.51, extensive : 0.45, data : 0, preprocessing : 0, augmentation : 0.44, techniques : 0.4, handle : 0.47, variations : 0.45, in : 0.83, lighting : 0.67, angles : 0.47, orientation : 0.56, ensuring : 0.46, high : 0.5, accuracy : 0, approach : 0, addresses : 0, limitations : 0.65, traditional : 0.45, methods : 0, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.54, by : 0, providing : 0.45, an : 0.58, automated : 0, reliable : 0.58, solution : 0.46, real : 0, time : 0.5, detection : 0, results : 0, demonstrate : 0.45, overall : 0, 97 : 0, with : 0.5, robust : 0, precision : 0.45, recall : 0, f1 : 0, scores : 0, across : 0, all : 0.53, categories : 0, highlights : 0.4, importance : 0.45, diverse : 0.46, datasets : 0, proposes : 0, further : 0, integration : 0.56, contextual : 0.45, factors : 0, like : 0.87, environmental : 0.38, conditions : 0.4, enhance : 0.46, applicability : 0.55, system : 0, offers : 0, a : 0, practical : 0, tool : 0, agriculture : 0.45, improving : 0.45, harvesting : 0, reducing : 0, waste : 0, supporting : 0, sustainable : 0.56, practices : 0 |
| 48. rel | 114 words | 0.93 | advanced : 0, classification : 0.47, of : 0, oil : 0.56, palm : 0.53, fruit : 0.51, ripeness : 0.67, deep : 0.53, learning : 0.68, for : 0, enhanced : 0.49, agricultural : 0.61, efficiency : 0.48, accurate : 0, determination : 0.44, is : 0, crucial : 0.49, optimizing : 0, yield : 0.69, and : 0, enhancing : 0.48, this : 0, study : 0, utilizes : 0.49, specifically : 0.47, convolutional : 0.47, neural : 0.5, networks : 0.49, cnns : 0, to : 0, classify : 0.49, into : 0, four : 0, stages : 0, raw : 0.6, under : 0, ripe : 0.58, overripe : 0.47, the : 0, model : 0, leverages : 0.46, extensive : 0.48, data : 0, preprocessing : 0.61, augmentation : 0.47, techniques : 0.48, handle : 0.5, variations : 0.48, in : 0, lighting : 0.49, angles : 0.5, orientation : 0.62, ensuring : 0.49, high : 0, accuracy : 0, approach : 0.49, addresses : 0.63, limitations : 0.47, traditional : 0.47, methods : 0.49, such : 0, as : 0, human : 0, error : 0.52, inconsistencies : 0, by : 0, providing : 0.48, an : 0, automated : 0, reliable : 0.85, solution : 0.49, real : 0.93, time : 0, detection : 0.48, results : 0.85, demonstrate : 0.47, overall : 0.49, 97 : 0, with : 0, robust : 0.55, precision : 0.63, recall : 0.87, f1 : 0, scores : 0, across : 0.5, all : 0.56, categories : 0.48, highlights : 0.48, importance : 0.48, diverse : 0.49, datasets : 0, proposes : 0.49, further : 0.49, integration : 0.47, contextual : 0.48, factors : 0, like : 0, environmental : 0.44, conditions : 0, enhance : 0.49, applicability : 0.47, system : 0, offers : 0.5, a : 0, practical : 0.48, tool : 0.53, agriculture : 0.62, improving : 0.48, harvesting : 0.62, reducing : 0.71, waste : 0, supporting : 0, sustainable : 0, practices : 0.48 |
| 49. shortcut | 114 words | 0.67 | advanced : 0.42, classification : 0.36, of : 0.54, oil : 0.49, palm : 0, fruit : 0.55, ripeness : 0.42, deep : 0, learning : 0.42, for : 0.64, enhanced : 0.5, agricultural : 0.49, efficiency : 0.41, accurate : 0.5, determination : 0.42, is : 0.54, crucial : 0.51, optimizing : 0.48, yield : 0, and : 0, enhancing : 0.49, this : 0.42, study : 0.6, utilizes : 0.42, specifically : 0.52, convolutional : 0.44, neural : 0.43, networks : 0.42, cnns : 0.46, to : 0.54, classify : 0.42, into : 0.42, four : 0.58, stages : 0.58, raw : 0.49, under : 0.44, ripe : 0.46, overripe : 0.5, the : 0.49, model : 0.44, leverages : 0.41, extensive : 0.41, data : 0.46, preprocessing : 0.42, augmentation : 0.43, techniques : 0.51, handle : 0.43, variations : 0.48, in : 0, lighting : 0.5, angles : 0, orientation : 0.62, ensuring : 0.47, high : 0.46, accuracy : 0.42, approach : 0.47, addresses : 0.41, limitations : 0.48, traditional : 0.44, methods : 0.43, such : 0.64, as : 0.54, human : 0.44, error : 0.38, inconsistencies : 0.46, by : 0, providing : 0.32, an : 0, automated : 0.46, reliable : 0.42, solution : 0.63, real : 0.46, time : 0, detection : 0.57, results : 0.52, demonstrate : 0.54, overall : 0.51, 97 : 0, with : 0.42, robust : 0.56, precision : 0.49, recall : 0.53, f1 : 0, scores : 0.66, across : 0.36, all : 0, categories : 0.39, highlights : 0.48, importance : 0.63, diverse : 0.42, datasets : 0.5, proposes : 0.33, further : 0.43, integration : 0.44, contextual : 0.55, factors : 0.52, like : 0, environmental : 0.42, conditions : 0.48, enhance : 0.51, applicability : 0.47, system : 0.58, offers : 0.53, a : 0, practical : 0.46, tool : 0.46, agriculture : 0.5, improving : 0.32, harvesting : 0.56, reducing : 0.47, waste : 0.55, supporting : 0.67, sustainable : 0.53, practices : 0.46 |
| 50. icon | 114 words | 0.72 | advanced : 0.46, classification : 0.38, of : 0, oil : 0.53, palm : 0, fruit : 0, ripeness : 0.58, deep : 0, learning : 0.46, for : 0.53, enhanced : 0.46, agricultural : 0.56, efficiency : 0.68, accurate : 0.46, determination : 0.44, is : 0.63, crucial : 0.46, optimizing : 0.4, yield : 0.48, and : 0, enhancing : 0.45, this : 0, study : 0, utilizes : 0.46, specifically : 0.39, convolutional : 0.66, neural : 0, networks : 0.42, cnns : 0.67, to : 0.58, classify : 0.46, into : 0.7, four : 0.5, stages : 0, raw : 0, under : 0, ripe : 0.5, overripe : 0.46, the : 0, model : 0.48, leverages : 0, extensive : 0.45, data : 0, preprocessing : 0.38, augmentation : 0.44, techniques : 0.57, handle : 0.47, variations : 0.45, in : 0.63, lighting : 0.58, angles : 0.47, orientation : 0.56, ensuring : 0.46, high : 0.5, accuracy : 0.46, approach : 0.46, addresses : 0, limitations : 0.45, traditional : 0.45, methods : 0.46, such : 0.5, as : 0, human : 0.48, error : 0.48, inconsistencies : 0.67, by : 0, providing : 0.45, an : 0, automated : 0.45, reliable : 0.46, solution : 0.46, real : 0, time : 0.5, detection : 0.45, results : 0, demonstrate : 0.56, overall : 0.46, 97 : 0, with : 0.5, robust : 0.47, precision : 0.45, recall : 0.47, f1 : 0, scores : 0.61, across : 0.61, all : 0, categories : 0.57, highlights : 0.45, importance : 0.71, diverse : 0.46, datasets : 0, proposes : 0.46, further : 0, integration : 0.6, contextual : 0.68, factors : 0.6, like : 0.5, environmental : 0.49, conditions : 0.63, enhance : 0.46, applicability : 0.55, system : 0, offers : 0.47, a : 0, practical : 0.45, tool : 0.5, agriculture : 0.56, improving : 0.62, harvesting : 0, reducing : 0.58, waste : 0, supporting : 0.45, sustainable : 0.45, practices : 0.45 |
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| 75. min | 114 words | 0.74 | advanced : 0.49, classification : 0.47, of : 0, oil : 0.56, palm : 0, fruit : 0, ripeness : 0.64, deep : 0, learning : 0.49, for : 0, enhanced : 0.49, agricultural : 0.47, efficiency : 0.48, accurate : 0, determination : 0.74, is : 0, crucial : 0, optimizing : 0.46, yield : 0.51, and : 0, enhancing : 0.48, this : 0.53, study : 0, utilizes : 0.49, specifically : 0.47, convolutional : 0.47, neural : 0.5, networks : 0.49, cnns : 0.53, to : 0, classify : 0, into : 0.72, four : 0, stages : 0, raw : 0, under : 0.51, ripe : 0.53, overripe : 0, the : 0, model : 0.56, leverages : 0, extensive : 0.48, data : 0, preprocessing : 0, augmentation : 0.61, techniques : 0.46, handle : 0.5, variations : 0.48, in : 0, lighting : 0.49, angles : 0.5, orientation : 0.62, ensuring : 0.49, high : 0.53, accuracy : 0, approach : 0, addresses : 0, limitations : 0.45, traditional : 0.47, methods : 0.54, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.6, by : 0, providing : 0.48, an : 0, automated : 0, reliable : 0.49, solution : 0, real : 0, time : 0.53, detection : 0, results : 0, demonstrate : 0.62, overall : 0, 97 : 0, with : 0.53, robust : 0, precision : 0.48, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0, highlights : 0.48, importance : 0.46, diverse : 0.49, datasets : 0, proposes : 0, further : 0, integration : 0.62, contextual : 0.48, factors : 0, like : 0.53, environmental : 0.44, conditions : 0.46, enhance : 0.49, applicability : 0.47, system : 0, offers : 0, a : 0, practical : 0, tool : 0, agriculture : 0.47, improving : 0.46, harvesting : 0, reducing : 0, waste : 0, supporting : 0, sustainable : 0.62, practices : 0 |
| 76. assets | 114 words | 0.82 | advanced : 0.58, classification : 0.65, of : 0, oil : 0, palm : 0.47, fruit : 0.46, ripeness : 0.53, deep : 0.47, learning : 0.36, for : 0, enhanced : 0.36, agricultural : 0.55, efficiency : 0.42, accurate : 0.58, determination : 0.5, is : 0.56, crucial : 0, optimizing : 0.42, yield : 0.46, and : 0.55, enhancing : 0.35, this : 0.47, study : 0.46, utilizes : 0.51, specifically : 0.5, convolutional : 0.41, neural : 0.44, networks : 0.63, cnns : 0.47, to : 0, classify : 0.63, into : 0.47, four : 0, stages : 0.69, raw : 0.5, under : 0.46, ripe : 0.47, overripe : 0.43, the : 0.5, model : 0.46, leverages : 0.52, extensive : 0.44, data : 0.61, preprocessing : 0.5, augmentation : 0.63, techniques : 0.49, handle : 0.56, variations : 0.6, in : 0, lighting : 0.43, angles : 0.7, orientation : 0.51, ensuring : 0.36, high : 0, accuracy : 0.49, approach : 0.49, addresses : 0.66, limitations : 0.42, traditional : 0.34, methods : 0.64, such : 0.47, as : 0.82, human : 0, error : 0, inconsistencies : 0.56, by : 0, providing : 0, an : 0.6, automated : 0.57, reliable : 0.43, solution : 0.53, real : 0.44, time : 0.47, detection : 0.52, results : 0.66, demonstrate : 0.48, overall : 0.44, 97 : 0, with : 0.47, robust : 0.56, precision : 0.35, recall : 0.44, f1 : 0, scores : 0.67, across : 0.7, all : 0.55, categories : 0.61, highlights : 0.51, importance : 0.42, diverse : 0.54, datasets : 0.72, proposes : 0.63, further : 0.37, integration : 0.34, contextual : 0.34, factors : 0.64, like : 0.47, environmental : 0.41, conditions : 0.51, enhance : 0, applicability : 0.47, system : 0.69, offers : 0.56, a : 0.75, practical : 0.52, tool : 0, agriculture : 0.55, improving : 0, harvesting : 0.61, reducing : 0.43, waste : 0.74, supporting : 0.51, sustainable : 0.55, practices : 0.61 |
| 77. bootstrap | 114 words | 0.61 | advanced : 0, classification : 0.35, of : 0.54, oil : 0.48, palm : 0, fruit : 0.44, ripeness : 0.41, deep : 0, learning : 0.41, for : 0.48, enhanced : 0, agricultural : 0.42, efficiency : 0, accurate : 0.4, determination : 0.46, is : 0.54, crucial : 0.42, optimizing : 0.47, yield : 0, and : 0, enhancing : 0, this : 0.57, study : 0.44, utilizes : 0.49, specifically : 0.46, convolutional : 0.58, neural : 0.52, networks : 0.48, cnns : 0.45, to : 0.57, classify : 0.41, into : 0.41, four : 0.57, stages : 0.52, raw : 0, under : 0.44, ripe : 0, overripe : 0.57, the : 0.48, model : 0.44, leverages : 0.48, extensive : 0.48, data : 0.45, preprocessing : 0.42, augmentation : 0.42, techniques : 0.4, handle : 0, variations : 0.38, in : 0, lighting : 0.41, angles : 0.43, orientation : 0.52, ensuring : 0.49, high : 0, accuracy : 0.49, approach : 0.46, addresses : 0.31, limitations : 0.42, traditional : 0.54, methods : 0.48, such : 0, as : 0.54, human : 0, error : 0.54, inconsistencies : 0.4, by : 0.58, providing : 0.41, an : 0, automated : 0.46, reliable : 0.41, solution : 0.49, real : 0, time : 0.45, detection : 0.48, results : 0.34, demonstrate : 0.6, overall : 0.59, 97 : 0, with : 0.45, robust : 0.54, precision : 0.41, recall : 0, f1 : 0, scores : 0.5, across : 0.52, all : 0, categories : 0.43, highlights : 0.4, importance : 0.53, diverse : 0.34, datasets : 0.57, proposes : 0.57, further : 0.5, integration : 0.48, contextual : 0.61, factors : 0.51, like : 0, environmental : 0.46, conditions : 0.47, enhance : 0, applicability : 0.4, system : 0.35, offers : 0.5, a : 0, practical : 0.48, tool : 0.58, agriculture : 0.3, improving : 0.31, harvesting : 0.43, reducing : 0, waste : 0.37, supporting : 0.45, sustainable : 0.42, practices : 0.41 |
| 78. limitless | 114 words | 0.84 | advanced : 0.41, classification : 0.56, of : 0, oil : 0.46, palm : 0.57, fruit : 0.54, ripeness : 0.65, deep : 0, learning : 0.54, for : 0, enhanced : 0.41, agricultural : 0.42, efficiency : 0.54, accurate : 0.49, determination : 0.42, is : 0.54, crucial : 0.5, optimizing : 0.45, yield : 0.37, and : 0, enhancing : 0.41, this : 0.45, study : 0.44, utilizes : 0.72, specifically : 0.47, convolutional : 0.41, neural : 0.43, networks : 0.49, cnns : 0, to : 0, classify : 0.46, into : 0.57, four : 0, stages : 0.61, raw : 0, under : 0.44, ripe : 0.57, overripe : 0.49, the : 0, model : 0.53, leverages : 0.6, extensive : 0.46, data : 0.45, preprocessing : 0.52, augmentation : 0.42, techniques : 0.53, handle : 0.52, variations : 0.53, in : 0.54, lighting : 0.65, angles : 0.61, orientation : 0.42, ensuring : 0.41, high : 0.45, accuracy : 0, approach : 0, addresses : 0.56, limitations : 0.84, traditional : 0.42, methods : 0.59, such : 0, as : 0, human : 0.44, error : 0, inconsistencies : 0.55, by : 0, providing : 0.48, an : 0, automated : 0.44, reliable : 0.65, solution : 0.46, real : 0.45, time : 0.69, detection : 0.39, results : 0.48, demonstrate : 0.48, overall : 0.42, 97 : 0, with : 0.57, robust : 0.35, precision : 0.44, recall : 0.43, f1 : 0, scores : 0.52, across : 0.52, all : 0.63, categories : 0.49, highlights : 0.62, importance : 0.61, diverse : 0.59, datasets : 0.56, proposes : 0.46, further : 0.5, integration : 0.54, contextual : 0.43, factors : 0.5, like : 0.76, environmental : 0.52, conditions : 0.53, enhance : 0.42, applicability : 0.58, system : 0.44, offers : 0.52, a : 0, practical : 0.44, tool : 0.45, agriculture : 0.52, improving : 0.56, harvesting : 0.45, reducing : 0.41, waste : 0.54, supporting : 0.31, sustainable : 0.52, practices : 0.55 |
| 79. layout | 114 words | 0.72 | advanced : 0.43, classification : 0.57, of : 0, oil : 0.5, palm : 0.44, fruit : 0.58, ripeness : 0, deep : 0, learning : 0.58, for : 0.5, enhanced : 0.43, agricultural : 0.58, efficiency : 0, accurate : 0.63, determination : 0.41, is : 0, crucial : 0.44, optimizing : 0.51, yield : 0.46, and : 0.5, enhancing : 0.43, this : 0, study : 0.41, utilizes : 0.43, specifically : 0, convolutional : 0.57, neural : 0.44, networks : 0.36, cnns : 0, to : 0.56, classify : 0.53, into : 0.47, four : 0.61, stages : 0.44, raw : 0.5, under : 0, ripe : 0, overripe : 0.43, the : 0, model : 0.46, leverages : 0.48, extensive : 0.43, data : 0.47, preprocessing : 0.41, augmentation : 0.58, techniques : 0.42, handle : 0.44, variations : 0.49, in : 0, lighting : 0.58, angles : 0.44, orientation : 0.51, ensuring : 0.43, high : 0, accuracy : 0.53, approach : 0.53, addresses : 0.43, limitations : 0.53, traditional : 0.48, methods : 0.44, such : 0, as : 0.56, human : 0.46, error : 0.46, inconsistencies : 0.49, by : 0.56, providing : 0.43, an : 0.56, automated : 0.58, reliable : 0.53, solution : 0.64, real : 0.47, time : 0, detection : 0.43, results : 0.54, demonstrate : 0.51, overall : 0, 97 : 0, with : 0, robust : 0.67, precision : 0, recall : 0.44, f1 : 0, scores : 0.44, across : 0.56, all : 0.5, categories : 0.49, highlights : 0.51, importance : 0.51, diverse : 0, datasets : 0.53, proposes : 0.43, further : 0.44, integration : 0.42, contextual : 0.49, factors : 0.53, like : 0.52, environmental : 0.5, conditions : 0.51, enhance : 0.44, applicability : 0.33, system : 0.56, offers : 0, a : 0.72, practical : 0.52, tool : 0.47, agriculture : 0.59, improving : 0.43, harvesting : 0.51, reducing : 0.43, waste : 0.58, supporting : 0.49, sustainable : 0.42, practices : 0.52 |
| 80. components | 114 words | 0.76 | advanced : 0.48, classification : 0.53, of : 0.53, oil : 0.48, palm : 0.4, fruit : 0.43, ripeness : 0.55, deep : 0.4, learning : 0.48, for : 0.48, enhanced : 0.45, agricultural : 0.46, efficiency : 0.42, accurate : 0.45, determination : 0.46, is : 0, crucial : 0.47, optimizing : 0.52, yield : 0.43, and : 0.48, enhancing : 0.47, this : 0, study : 0, utilizes : 0.48, specifically : 0.35, convolutional : 0.66, neural : 0, networks : 0.48, cnns : 0.61, to : 0.53, classify : 0.47, into : 0.4, four : 0.45, stages : 0.51, raw : 0, under : 0.53, ripe : 0.57, overripe : 0.45, the : 0.48, model : 0.52, leverages : 0.47, extensive : 0.43, data : 0, preprocessing : 0.46, augmentation : 0.51, techniques : 0.6, handle : 0.51, variations : 0.48, in : 0.53, lighting : 0.32, angles : 0.6, orientation : 0.52, ensuring : 0.48, high : 0, accuracy : 0.41, approach : 0.32, addresses : 0.47, limitations : 0.55, traditional : 0.36, methods : 0.47, such : 0.45, as : 0, human : 0.53, error : 0.43, inconsistencies : 0.58, by : 0, providing : 0.43, an : 0.53, automated : 0.53, reliable : 0.41, solution : 0.51, real : 0, time : 0.57, detection : 0.52, results : 0.5, demonstrate : 0.6, overall : 0.5, 97 : 0, with : 0, robust : 0.51, precision : 0.59, recall : 0.42, f1 : 0, scores : 0.69, across : 0.6, all : 0, categories : 0.57, highlights : 0.47, importance : 0.57, diverse : 0.5, datasets : 0.56, proposes : 0.58, further : 0.41, integration : 0.5, contextual : 0.73, factors : 0.58, like : 0.45, environmental : 0.58, conditions : 0.76, enhance : 0.47, applicability : 0.4, system : 0.34, offers : 0.6, a : 0, practical : 0.43, tool : 0.57, agriculture : 0.41, improving : 0.49, harvesting : 0.48, reducing : 0.48, waste : 0.43, supporting : 0.43, sustainable : 0.46, practices : 0.55 |
| 81. colors | 114 words | 0.78 | advanced : 0, classification : 0.61, of : 0.56, oil : 0.67, palm : 0.47, fruit : 0, ripeness : 0.43, deep : 0, learning : 0.53, for : 0.67, enhanced : 0, agricultural : 0.42, efficiency : 0.42, accurate : 0.53, determination : 0.41, is : 0, crucial : 0.49, optimizing : 0.42, yield : 0.46, and : 0, enhancing : 0, this : 0.47, study : 0, utilizes : 0.53, specifically : 0.33, convolutional : 0.66, neural : 0.44, networks : 0.63, cnns : 0.65, to : 0.56, classify : 0.66, into : 0.47, four : 0.61, stages : 0.44, raw : 0, under : 0.46, ripe : 0, overripe : 0.53, the : 0, model : 0.58, leverages : 0.61, extensive : 0.43, data : 0, preprocessing : 0.47, augmentation : 0, techniques : 0.51, handle : 0.44, variations : 0.49, in : 0, lighting : 0.43, angles : 0.56, orientation : 0.51, ensuring : 0.36, high : 0, accuracy : 0.53, approach : 0.36, addresses : 0.52, limitations : 0.42, traditional : 0.34, methods : 0.54, such : 0.47, as : 0, human : 0, error : 0.41, inconsistencies : 0.57, by : 0, providing : 0.35, an : 0, automated : 0.43, reliable : 0.43, solution : 0.63, real : 0.47, time : 0, detection : 0, results : 0.54, demonstrate : 0.48, overall : 0.54, 97 : 0, with : 0, robust : 0.56, precision : 0.5, recall : 0.56, f1 : 0, scores : 0.78, across : 0.69, all : 0.5, categories : 0.72, highlights : 0.51, importance : 0.51, diverse : 0.54, datasets : 0.43, proposes : 0.64, further : 0.44, integration : 0.42, contextual : 0.61, factors : 0.75, like : 0.47, environmental : 0.33, conditions : 0.75, enhance : 0, applicability : 0.33, system : 0, offers : 0.67, a : 0, practical : 0.35, tool : 0.64, agriculture : 0.42, improving : 0.35, harvesting : 0.51, reducing : 0, waste : 0, supporting : 0.51, sustainable : 0.42, practices : 0.5 |
| 82. body | 114 words | 0.63 | advanced : 0.46, classification : 0, of : 0.58, oil : 0.53, palm : 0, fruit : 0, ripeness : 0, deep : 0, learning : 0, for : 0.53, enhanced : 0, agricultural : 0, efficiency : 0, accurate : 0, determination : 0.44, is : 0, crucial : 0, optimizing : 0.45, yield : 0, and : 0.53, enhancing : 0, this : 0, study : 0.63, utilizes : 0, specifically : 0, convolutional : 0.44, neural : 0, networks : 0.46, cnns : 0, to : 0.58, classify : 0, into : 0, four : 0.5, stages : 0, raw : 0, under : 0.48, ripe : 0, overripe : 0.46, the : 0, model : 0.63, leverages : 0, extensive : 0, data : 0, preprocessing : 0.44, augmentation : 0, techniques : 0, handle : 0.47, variations : 0, in : 0, lighting : 0, angles : 0, orientation : 0.45, ensuring : 0, high : 0, accuracy : 0, approach : 0.46, addresses : 0.45, limitations : 0, traditional : 0.45, methods : 0, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.44, by : 0.63, providing : 0.57, an : 0, automated : 0.45, reliable : 0, solution : 0.46, real : 0, time : 0, detection : 0.45, results : 0, demonstrate : 0.39, overall : 0.46, 97 : 0, with : 0, robust : 0.44, precision : 0, recall : 0, f1 : 0, scores : 0.47, across : 0.47, all : 0, categories : 0.45, highlights : 0, importance : 0.45, diverse : 0.46, datasets : 0.46, proposes : 0.46, further : 0, integration : 0, contextual : 0.45, factors : 0, like : 0, environmental : 0.44, conditions : 0.57, enhance : 0, applicability : 0, system : 0.47, offers : 0.47, a : 0, practical : 0, tool : 0.5, agriculture : 0, improving : 0.45, harvesting : 0, reducing : 0.46, waste : 0, supporting : 0.45, sustainable : 0, practices : 0 |
| 83. class | 114 words | 0.93 | advanced : 0.44, classification : 0.87, of : 0, oil : 0.51, palm : 0.47, fruit : 0, ripeness : 0.55, deep : 0, learning : 0.55, for : 0, enhanced : 0.44, agricultural : 0.45, efficiency : 0.43, accurate : 0.38, determination : 0, is : 0, crucial : 0.5, optimizing : 0, yield : 0, and : 0, enhancing : 0.44, this : 0.48, study : 0, utilizes : 0.55, specifically : 0.36, convolutional : 0.57, neural : 0.46, networks : 0.44, cnns : 0.67, to : 0, classify : 0.93, into : 0, four : 0, stages : 0.58, raw : 0.51, under : 0, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0.54, extensive : 0.44, data : 0.48, preprocessing : 0.52, augmentation : 0.43, techniques : 0.43, handle : 0.46, variations : 0.43, in : 0, lighting : 0.44, angles : 0.59, orientation : 0.43, ensuring : 0.44, high : 0, accuracy : 0.38, approach : 0.44, addresses : 0.64, limitations : 0.53, traditional : 0.43, methods : 0.45, such : 0, as : 0, human : 0.47, error : 0, inconsistencies : 0.6, by : 0, providing : 0, an : 0, automated : 0.44, reliable : 0.55, solution : 0.38, real : 0.48, time : 0, detection : 0, results : 0.56, demonstrate : 0.43, overall : 0.45, 97 : 0, with : 0, robust : 0.46, precision : 0.54, recall : 0.58, f1 : 0, scores : 0.58, across : 0.74, all : 0.51, categories : 0.58, highlights : 0.43, importance : 0.43, diverse : 0.45, datasets : 0.66, proposes : 0.55, further : 0, integration : 0.43, contextual : 0.49, factors : 0.57, like : 0.48, environmental : 0, conditions : 0.49, enhance : 0.45, applicability : 0.5, system : 0.46, offers : 0.46, a : 0, practical : 0.37, tool : 0, agriculture : 0.36, improving : 0, harvesting : 0.53, reducing : 0, waste : 0.6, supporting : 0.43, sustainable : 0.51, practices : 0.37 |
| 84. boxed | 114 words | 0.61 | advanced : 0.38, classification : 0, of : 0.57, oil : 0.51, palm : 0, fruit : 0, ripeness : 0.44, deep : 0.48, learning : 0.44, for : 0.51, enhanced : 0.55, agricultural : 0, efficiency : 0.43, accurate : 0, determination : 0.35, is : 0, crucial : 0, optimizing : 0.43, yield : 0.6, and : 0, enhancing : 0.44, this : 0, study : 0.47, utilizes : 0.44, specifically : 0.43, convolutional : 0.43, neural : 0.46, networks : 0.38, cnns : 0, to : 0.57, classify : 0, into : 0, four : 0.48, stages : 0.46, raw : 0, under : 0.47, ripe : 0.48, overripe : 0.55, the : 0.51, model : 0.6, leverages : 0.44, extensive : 0.37, data : 0, preprocessing : 0.35, augmentation : 0.43, techniques : 0.43, handle : 0.41, variations : 0, in : 0, lighting : 0, angles : 0.46, orientation : 0.53, ensuring : 0.44, high : 0, accuracy : 0, approach : 0.44, addresses : 0.37, limitations : 0, traditional : 0.43, methods : 0.56, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.51, by : 0.61, providing : 0.54, an : 0, automated : 0.44, reliable : 0.44, solution : 0.44, real : 0, time : 0.48, detection : 0.44, results : 0.45, demonstrate : 0.51, overall : 0.56, 97 : 0, with : 0, robust : 0.41, precision : 0.44, recall : 0.46, f1 : 0, scores : 0.58, across : 0.46, all : 0, categories : 0.37, highlights : 0, importance : 0.43, diverse : 0.45, datasets : 0.44, proposes : 0.55, further : 0.45, integration : 0.43, contextual : 0.52, factors : 0, like : 0.48, environmental : 0.35, conditions : 0.53, enhance : 0, applicability : 0, system : 0.46, offers : 0.58, a : 0, practical : 0, tool : 0.48, agriculture : 0, improving : 0.44, harvesting : 0.43, reducing : 0.55, waste : 0.47, supporting : 0.43, sustainable : 0, practices : 0 |
| 85. bg | 114 words | 0.7 | advanced : 0, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0, deep : 0, learning : 0, for : 0, enhanced : 0, agricultural : 0.53, efficiency : 0, accurate : 0, determination : 0, is : 0, crucial : 0, optimizing : 0, yield : 0, and : 0, enhancing : 0, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0, neural : 0, networks : 0, cnns : 0, to : 0, classify : 0, into : 0, four : 0, stages : 0.56, raw : 0, under : 0, ripe : 0, overripe : 0, the : 0, model : 0, leverages : 0, extensive : 0, data : 0, preprocessing : 0, augmentation : 0.53, techniques : 0, handle : 0, variations : 0, in : 0, lighting : 0.54, angles : 0.56, orientation : 0, ensuring : 0, high : 0.58, accuracy : 0, approach : 0, addresses : 0, limitations : 0, traditional : 0, methods : 0, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0, by : 0.7, providing : 0, an : 0, automated : 0, reliable : 0, solution : 0, real : 0, time : 0, detection : 0, results : 0, demonstrate : 0, overall : 0, 97 : 0, with : 0, robust : 0.56, precision : 0, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.53, highlights : 0.53, importance : 0, diverse : 0, datasets : 0, proposes : 0, further : 0, integration : 0.53, contextual : 0, factors : 0, like : 0, environmental : 0, conditions : 0, enhance : 0, applicability : 0, system : 0, offers : 0, a : 0, practical : 0, tool : 0, agriculture : 0.53, improving : 0, harvesting : 0, reducing : 0, waste : 0, supporting : 0, sustainable : 0, practices : 0 |
| 86. this | 114 words | 1 | advanced : 0, classification : 0.38, of : 0, oil : 0.53, palm : 0, fruit : 0.48, ripeness : 0.58, deep : 0, learning : 0.46, for : 0, enhanced : 0.46, agricultural : 0.44, efficiency : 0.45, accurate : 0, determination : 0.55, is : 0, crucial : 0.46, optimizing : 0.57, yield : 0.48, and : 0, enhancing : 0.45, this : 1, study : 0.48, utilizes : 0.58, specifically : 0.39, convolutional : 0, neural : 0, networks : 0.46, cnns : 0.5, to : 0.63, classify : 0.42, into : 0, four : 0, stages : 0.61, raw : 0, under : 0, ripe : 0.5, overripe : 0.46, the : 0.78, model : 0, leverages : 0, extensive : 0.57, data : 0, preprocessing : 0.44, augmentation : 0, techniques : 0.71, handle : 0.47, variations : 0.45, in : 0, lighting : 0.42, angles : 0.47, orientation : 0.45, ensuring : 0.42, high : 0.67, accuracy : 0, approach : 0, addresses : 0.45, limitations : 0.39, traditional : 0.6, methods : 0.6, such : 0, as : 0, human : 0.48, error : 0, inconsistencies : 0.54, by : 0, providing : 0.45, an : 0, automated : 0.45, reliable : 0.46, solution : 0.42, real : 0, time : 0.7, detection : 0.45, results : 0.46, demonstrate : 0.45, overall : 0, 97 : 0, with : 0.5, robust : 0.47, precision : 0.57, recall : 0, f1 : 0, scores : 0.47, across : 0.47, all : 0, categories : 0.45, highlights : 0.57, importance : 0.45, diverse : 0.6, datasets : 0.58, proposes : 0.46, further : 0, integration : 0.39, contextual : 0.45, factors : 0, like : 0.5, environmental : 0.44, conditions : 0.45, enhance : 0.46, applicability : 0.44, system : 0.47, offers : 0.47, a : 0, practical : 0.45, tool : 0.55, agriculture : 0.45, improving : 0.45, harvesting : 0.57, reducing : 0.46, waste : 0.48, supporting : 0.45, sustainable : 0.51, practices : 0.45 |
| 87. load | 114 words | 0.63 | advanced : 0.58, classification : 0.55, of : 0.58, oil : 0.53, palm : 0.5, fruit : 0, ripeness : 0, deep : 0, learning : 0.63, for : 0.53, enhanced : 0.46, agricultural : 0.44, efficiency : 0, accurate : 0.46, determination : 0.44, is : 0, crucial : 0, optimizing : 0.45, yield : 0.48, and : 0.53, enhancing : 0.45, this : 0, study : 0.48, utilizes : 0.46, specifically : 0, convolutional : 0.38, neural : 0.47, networks : 0.46, cnns : 0, to : 0.58, classify : 0.58, into : 0, four : 0.5, stages : 0.47, raw : 0.53, under : 0.48, ripe : 0, overripe : 0.46, the : 0, model : 0.63, leverages : 0.62, extensive : 0, data : 0.5, preprocessing : 0.44, augmentation : 0.44, techniques : 0, handle : 0.61, variations : 0.45, in : 0, lighting : 0.51, angles : 0.47, orientation : 0.56, ensuring : 0, high : 0, accuracy : 0.46, approach : 0.42, addresses : 0.57, limitations : 0.6, traditional : 0.56, methods : 0.46, such : 0, as : 0, human : 0.48, error : 0, inconsistencies : 0.44, by : 0, providing : 0.57, an : 0, automated : 0.41, reliable : 0.58, solution : 0.42, real : 0.5, time : 0, detection : 0.45, results : 0, demonstrate : 0.39, overall : 0.6, 97 : 0, with : 0, robust : 0.47, precision : 0, recall : 0.47, f1 : 0, scores : 0.47, across : 0.44, all : 0.53, categories : 0.4, highlights : 0.45, importance : 0.57, diverse : 0, datasets : 0.42, proposes : 0.46, further : 0, integration : 0.45, contextual : 0.45, factors : 0.46, like : 0.55, environmental : 0.44, conditions : 0.57, enhance : 0.46, applicability : 0.38, system : 0, offers : 0.47, a : 0, practical : 0.45, tool : 0.5, agriculture : 0.45, improving : 0.45, harvesting : 0.45, reducing : 0.46, waste : 0.48, supporting : 0.45, sustainable : 0.45, practices : 0.45 |
| 88. view | 114 words | 0.67 | advanced : 0.46, classification : 0.44, of : 0, oil : 0.53, palm : 0, fruit : 0, ripeness : 0.58, deep : 0.5, learning : 0.46, for : 0, enhanced : 0.46, agricultural : 0.44, efficiency : 0.4, accurate : 0, determination : 0.38, is : 0.58, crucial : 0, optimizing : 0.45, yield : 0.63, and : 0, enhancing : 0.45, this : 0.5, study : 0, utilizes : 0.46, specifically : 0.39, convolutional : 0.44, neural : 0.47, networks : 0.58, cnns : 0, to : 0, classify : 0, into : 0.5, four : 0, stages : 0.47, raw : 0.53, under : 0.48, ripe : 0.67, overripe : 0.58, the : 0.53, model : 0.48, leverages : 0.41, extensive : 0.45, data : 0, preprocessing : 0.44, augmentation : 0.44, techniques : 0.4, handle : 0, variations : 0.61, in : 0.58, lighting : 0.46, angles : 0.47, orientation : 0.56, ensuring : 0.46, high : 0.5, accuracy : 0, approach : 0, addresses : 0.45, limitations : 0.45, traditional : 0.45, methods : 0.46, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.44, by : 0, providing : 0.57, an : 0, automated : 0, reliable : 0.42, solution : 0, real : 0.5, time : 0.67, detection : 0.45, results : 0.46, demonstrate : 0.45, overall : 0.6, 97 : 0, with : 0.5, robust : 0, precision : 0.41, recall : 0.47, f1 : 0, scores : 0.47, across : 0, all : 0, categories : 0.45, highlights : 0.45, importance : 0.45, diverse : 0.62, datasets : 0.46, proposes : 0, further : 0, integration : 0.56, contextual : 0.45, factors : 0, like : 0.67, environmental : 0.49, conditions : 0.45, enhance : 0.46, applicability : 0.44, system : 0.47, offers : 0.47, a : 0, practical : 0, tool : 0, agriculture : 0.45, improving : 0.45, harvesting : 0.57, reducing : 0.46, waste : 0, supporting : 0, sustainable : 0.45, practices : 0 |
| 89. inc | 114 words | 0.91 | advanced : 0.64, classification : 0.44, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0.64, deep : 0, learning : 0.49, for : 0, enhanced : 0.64, agricultural : 0.61, efficiency : 0.62, accurate : 0.49, determination : 0, is : 0.65, crucial : 0.49, optimizing : 0.48, yield : 0.51, and : 0.56, enhancing : 0.63, this : 0, study : 0, utilizes : 0.49, specifically : 0.44, convolutional : 0.44, neural : 0.5, networks : 0.49, cnns : 0.53, to : 0, classify : 0.49, into : 0.78, four : 0, stages : 0, raw : 0, under : 0.51, ripe : 0.53, overripe : 0, the : 0, model : 0, leverages : 0, extensive : 0.48, data : 0, preprocessing : 0.47, augmentation : 0.47, techniques : 0.46, handle : 0.5, variations : 0.48, in : 0.91, lighting : 0.49, angles : 0.5, orientation : 0.62, ensuring : 0.49, high : 0.53, accuracy : 0.49, approach : 0, addresses : 0, limitations : 0.47, traditional : 0.47, methods : 0, such : 0.53, as : 0, human : 0, error : 0, inconsistencies : 0.81, by : 0, providing : 0, an : 0.61, automated : 0, reliable : 0.49, solution : 0, real : 0, time : 0.53, detection : 0.48, results : 0, demonstrate : 0.47, overall : 0, 97 : 0, with : 0.53, robust : 0, precision : 0.48, recall : 0.5, f1 : 0, scores : 0.5, across : 0.5, all : 0, categories : 0.48, highlights : 0.48, importance : 0.53, diverse : 0.49, datasets : 0, proposes : 0, further : 0, integration : 0.69, contextual : 0.46, factors : 0.49, like : 0.53, environmental : 0.44, conditions : 0.66, enhance : 0.49, applicability : 0.61, system : 0, offers : 0, a : 0, practical : 0.48, tool : 0, agriculture : 0.62, improving : 0.53, harvesting : 0, reducing : 0.49, waste : 0, supporting : 0, sustainable : 0, practices : 0.48 |
| 90. nav | 114 words | 0.65 | advanced : 0.64, classification : 0.47, of : 0, oil : 0, palm : 0.53, fruit : 0, ripeness : 0, deep : 0, learning : 0.49, for : 0, enhanced : 0.64, agricultural : 0.47, efficiency : 0, accurate : 0.49, determination : 0, is : 0, crucial : 0, optimizing : 0, yield : 0, and : 0, enhancing : 0.63, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0.61, neural : 0.55, networks : 0.54, cnns : 0.53, to : 0, classify : 0.49, into : 0.53, four : 0, stages : 0.5, raw : 0.56, under : 0.51, ripe : 0, overripe : 0.49, the : 0, model : 0, leverages : 0.48, extensive : 0, data : 0.53, preprocessing : 0, augmentation : 0.44, techniques : 0.48, handle : 0.5, variations : 0.46, in : 0, lighting : 0, angles : 0.5, orientation : 0.47, ensuring : 0.49, high : 0, accuracy : 0.49, approach : 0.49, addresses : 0.48, limitations : 0.47, traditional : 0.47, methods : 0, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.47, by : 0, providing : 0.48, an : 0, automated : 0.48, reliable : 0.49, solution : 0, real : 0.53, time : 0, detection : 0, results : 0, demonstrate : 0.47, overall : 0.49, 97 : 0, with : 0, robust : 0, precision : 0, recall : 0.5, f1 : 0, scores : 0, across : 0.5, all : 0, categories : 0.48, highlights : 0, importance : 0, diverse : 0.49, datasets : 0.49, proposes : 0, further : 0, integration : 0.47, contextual : 0.48, factors : 0.49, like : 0, environmental : 0.61, conditions : 0.48, enhance : 0.65, applicability : 0.47, system : 0, offers : 0, a : 0, practical : 0.48, tool : 0, agriculture : 0.47, improving : 0.48, harvesting : 0.62, reducing : 0, waste : 0.51, supporting : 0, sustainable : 0.47, practices : 0.48 |
| 91. echo | 114 words | 0.73 | advanced : 0, classification : 0.44, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0.46, deep : 0.5, learning : 0.46, for : 0, enhanced : 0.63, agricultural : 0.44, efficiency : 0.61, accurate : 0.46, determination : 0.44, is : 0, crucial : 0.46, optimizing : 0.45, yield : 0, and : 0, enhancing : 0.62, this : 0.5, study : 0, utilizes : 0, specifically : 0.56, convolutional : 0.55, neural : 0.47, networks : 0.58, cnns : 0.5, to : 0, classify : 0.46, into : 0.5, four : 0, stages : 0, raw : 0, under : 0, ripe : 0, overripe : 0.42, the : 0.53, model : 0, leverages : 0.45, extensive : 0.51, data : 0, preprocessing : 0.55, augmentation : 0.44, techniques : 0.68, handle : 0.47, variations : 0.45, in : 0, lighting : 0.46, angles : 0, orientation : 0.39, ensuring : 0.51, high : 0.5, accuracy : 0.46, approach : 0.46, addresses : 0, limitations : 0, traditional : 0.45, methods : 0.73, such : 0.67, as : 0, human : 0, error : 0.67, inconsistencies : 0.54, by : 0, providing : 0.45, an : 0, automated : 0.45, reliable : 0.46, solution : 0.46, real : 0.5, time : 0, detection : 0.57, results : 0.46, demonstrate : 0.56, overall : 0.46, 97 : 0, with : 0.5, robust : 0.47, precision : 0.57, recall : 0.61, f1 : 0, scores : 0.61, across : 0.61, all : 0, categories : 0.57, highlights : 0.45, importance : 0.45, diverse : 0, datasets : 0, proposes : 0.46, further : 0.46, integration : 0.45, contextual : 0.52, factors : 0.6, like : 0, environmental : 0.6, conditions : 0.57, enhance : 0.64, applicability : 0.44, system : 0, offers : 0, a : 0, practical : 0.45, tool : 0.5, agriculture : 0.45, improving : 0.45, harvesting : 0.4, reducing : 0.58, waste : 0, supporting : 0.45, sustainable : 0, practices : 0.45 |
| 92. session | 114 words | 0.72 | advanced : 0.42, classification : 0.55, of : 0, oil : 0, palm : 0, fruit : 0.45, ripeness : 0.52, deep : 0.46, learning : 0.49, for : 0, enhanced : 0.51, agricultural : 0.41, efficiency : 0.58, accurate : 0, determination : 0.55, is : 0.55, crucial : 0.43, optimizing : 0.5, yield : 0.45, and : 0, enhancing : 0.48, this : 0.43, study : 0.5, utilizes : 0.42, specifically : 0.6, convolutional : 0.39, neural : 0.44, networks : 0.51, cnns : 0.46, to : 0, classify : 0.6, into : 0.46, four : 0, stages : 0.59, raw : 0, under : 0.45, ripe : 0.46, overripe : 0.51, the : 0.49, model : 0.45, leverages : 0.42, extensive : 0.55, data : 0, preprocessing : 0.54, augmentation : 0.51, techniques : 0.47, handle : 0, variations : 0.58, in : 0, lighting : 0.51, angles : 0.44, orientation : 0.48, ensuring : 0.61, high : 0, accuracy : 0, approach : 0.42, addresses : 0.59, limitations : 0.57, traditional : 0.57, methods : 0.52, such : 0.52, as : 0.55, human : 0.45, error : 0.56, inconsistencies : 0.52, by : 0, providing : 0.48, an : 0, automated : 0.42, reliable : 0.51, solution : 0.72, real : 0.46, time : 0.46, detection : 0.67, results : 0.36, demonstrate : 0.52, overall : 0.43, 97 : 0, with : 0, robust : 0.44, precision : 0.69, recall : 0.44, f1 : 0, scores : 0.59, across : 0.53, all : 0, categories : 0.47, highlights : 0.41, importance : 0.58, diverse : 0.52, datasets : 0.42, proposes : 0.35, further : 0, integration : 0.56, contextual : 0.41, factors : 0.43, like : 0.46, environmental : 0.5, conditions : 0.41, enhance : 0.52, applicability : 0.41, system : 0.59, offers : 0.54, a : 0, practical : 0.42, tool : 0, agriculture : 0.41, improving : 0.48, harvesting : 0.66, reducing : 0.6, waste : 0.45, supporting : 0.62, sustainable : 0.68, practices : 0.42 |
| 93. flashdata | 114 words | 0.74 | advanced : 0.46, classification : 0.59, of : 0.54, oil : 0.48, palm : 0.41, fruit : 0.59, ripeness : 0.41, deep : 0, learning : 0.49, for : 0.53, enhanced : 0.46, agricultural : 0.43, efficiency : 0.4, accurate : 0.57, determination : 0.41, is : 0.54, crucial : 0.42, optimizing : 0, yield : 0.54, and : 0.63, enhancing : 0.31, this : 0.41, study : 0.54, utilizes : 0.41, specifically : 0.42, convolutional : 0.41, neural : 0.43, networks : 0, cnns : 0.45, to : 0, classify : 0.57, into : 0, four : 0.51, stages : 0.35, raw : 0.48, under : 0.44, ripe : 0, overripe : 0, the : 0.48, model : 0.37, leverages : 0.48, extensive : 0.41, data : 0.57, preprocessing : 0.4, augmentation : 0.42, techniques : 0.4, handle : 0.44, variations : 0.54, in : 0, lighting : 0.57, angles : 0.5, orientation : 0.3, ensuring : 0.41, high : 0.45, accuracy : 0.49, approach : 0.46, addresses : 0.44, limitations : 0.42, traditional : 0.52, methods : 0.42, such : 0.57, as : 0.74, human : 0.44, error : 0, inconsistencies : 0.45, by : 0, providing : 0.41, an : 0.54, automated : 0.5, reliable : 0.49, solution : 0.46, real : 0.41, time : 0, detection : 0.41, results : 0.48, demonstrate : 0.42, overall : 0.42, 97 : 0, with : 0.45, robust : 0.52, precision : 0.41, recall : 0.35, f1 : 0.58, scores : 0.43, across : 0.52, all : 0.46, categories : 0.4, highlights : 0.43, importance : 0.31, diverse : 0.42, datasets : 0.56, proposes : 0.41, further : 0.55, integration : 0.47, contextual : 0.31, factors : 0.63, like : 0.45, environmental : 0.29, conditions : 0.47, enhance : 0.34, applicability : 0.5, system : 0.43, offers : 0.52, a : 0.7, practical : 0.44, tool : 0.45, agriculture : 0.47, improving : 0, harvesting : 0.49, reducing : 0.41, waste : 0.54, supporting : 0.47, sustainable : 0.48, practices : 0.48 |
| 94. pesen | 114 words | 0.69 | advanced : 0.38, classification : 0.42, of : 0, oil : 0, palm : 0.54, fruit : 0, ripeness : 0.68, deep : 0.63, learning : 0.55, for : 0, enhanced : 0.55, agricultural : 0, efficiency : 0.63, accurate : 0, determination : 0.61, is : 0.57, crucial : 0, optimizing : 0.53, yield : 0.47, and : 0, enhancing : 0.54, this : 0.48, study : 0, utilizes : 0.44, specifically : 0.45, convolutional : 0.43, neural : 0.46, networks : 0.44, cnns : 0.48, to : 0, classify : 0.44, into : 0, four : 0, stages : 0.58, raw : 0, under : 0.47, ripe : 0.48, overripe : 0.44, the : 0.51, model : 0.47, leverages : 0.54, extensive : 0.62, data : 0, preprocessing : 0.65, augmentation : 0.52, techniques : 0.53, handle : 0.41, variations : 0.43, in : 0, lighting : 0.44, angles : 0.46, orientation : 0.53, ensuring : 0.55, high : 0, accuracy : 0, approach : 0.44, addresses : 0.54, limitations : 0, traditional : 0.43, methods : 0.45, such : 0, as : 0.57, human : 0.47, error : 0.47, inconsistencies : 0.43, by : 0, providing : 0.59, an : 0, automated : 0, reliable : 0.44, solution : 0.55, real : 0.48, time : 0.48, detection : 0.54, results : 0.56, demonstrate : 0.51, overall : 0.45, 97 : 0, with : 0, robust : 0.46, precision : 0.68, recall : 0.46, f1 : 0, scores : 0.58, across : 0.46, all : 0, categories : 0.43, highlights : 0, importance : 0.53, diverse : 0.45, datasets : 0.55, proposes : 0.69, further : 0.45, integration : 0.36, contextual : 0.37, factors : 0, like : 0.48, environmental : 0.5, conditions : 0.43, enhance : 0.56, applicability : 0.43, system : 0.58, offers : 0.46, a : 0, practical : 0.49, tool : 0, agriculture : 0, improving : 0.54, harvesting : 0.63, reducing : 0.55, waste : 0.6, supporting : 0.52, sustainable : 0.53, practices : 0.49 |
| 95. unset | 114 words | 0.79 | advanced : 0.55, classification : 0.51, of : 0, oil : 0, palm : 0, fruit : 0.47, ripeness : 0.38, deep : 0.48, learning : 0.38, for : 0, enhanced : 0.38, agricultural : 0.52, efficiency : 0.43, accurate : 0.55, determination : 0.52, is : 0.57, crucial : 0.45, optimizing : 0.43, yield : 0.47, and : 0.51, enhancing : 0.37, this : 0.48, study : 0, utilizes : 0.59, specifically : 0.52, convolutional : 0.52, neural : 0.53, networks : 0.66, cnns : 0.63, to : 0, classify : 0.44, into : 0.48, four : 0, stages : 0.58, raw : 0, under : 0.79, ripe : 0.48, overripe : 0.44, the : 0.51, model : 0.47, leverages : 0.44, extensive : 0.58, data : 0, preprocessing : 0.43, augmentation : 0.63, techniques : 0.52, handle : 0.58, variations : 0.43, in : 0.57, lighting : 0.44, angles : 0.58, orientation : 0.51, ensuring : 0.68, high : 0, accuracy : 0.44, approach : 0, addresses : 0.37, limitations : 0.43, traditional : 0.43, methods : 0.56, such : 0.48, as : 0.57, human : 0.47, error : 0, inconsistencies : 0.61, by : 0, providing : 0, an : 0.57, automated : 0.54, reliable : 0.44, solution : 0.55, real : 0, time : 0.48, detection : 0.54, results : 0.57, demonstrate : 0.6, overall : 0.45, 97 : 0, with : 0, robust : 0.58, precision : 0.37, recall : 0.46, f1 : 0, scores : 0.58, across : 0.46, all : 0, categories : 0.37, highlights : 0.43, importance : 0.43, diverse : 0.45, datasets : 0.49, proposes : 0.55, further : 0.57, integration : 0.51, contextual : 0.52, factors : 0.45, like : 0.48, environmental : 0.35, conditions : 0.53, enhance : 0.45, applicability : 0, system : 0.59, offers : 0.46, a : 0, practical : 0.44, tool : 0, agriculture : 0.43, improving : 0, harvesting : 0.52, reducing : 0.38, waste : 0.62, supporting : 0.52, sustainable : 0.51, practices : 0.44 |
| 96. form | 114 words | 0.94 | advanced : 0, classification : 0.44, of : 0.67, oil : 0.53, palm : 0.5, fruit : 0.67, ripeness : 0.46, deep : 0, learning : 0.46, for : 0.94, enhanced : 0, agricultural : 0.44, efficiency : 0.45, accurate : 0.46, determination : 0.55, is : 0, crucial : 0.46, optimizing : 0.57, yield : 0, and : 0, enhancing : 0, this : 0, study : 0, utilizes : 0, specifically : 0.44, convolutional : 0.44, neural : 0.47, networks : 0.58, cnns : 0, to : 0.58, classify : 0, into : 0, four : 0.87, stages : 0, raw : 0, under : 0, ripe : 0, overripe : 0.58, the : 0, model : 0.48, leverages : 0.45, extensive : 0, data : 0, preprocessing : 0.38, augmentation : 0.44, techniques : 0, handle : 0, variations : 0.45, in : 0, lighting : 0, angles : 0, orientation : 0.56, ensuring : 0.46, high : 0, accuracy : 0.46, approach : 0.42, addresses : 0.45, limitations : 0.45, traditional : 0.45, methods : 0, such : 0, as : 0, human : 0.48, error : 0.48, inconsistencies : 0.44, by : 0, providing : 0.41, an : 0, automated : 0.57, reliable : 0.46, solution : 0.46, real : 0, time : 0.5, detection : 0, results : 0.46, demonstrate : 0.39, overall : 0.6, 97 : 0, with : 0, robust : 0.44, precision : 0.45, recall : 0.47, f1 : 0.63, scores : 0.61, across : 0.44, all : 0, categories : 0.57, highlights : 0, importance : 0.52, diverse : 0.46, datasets : 0, proposes : 0.42, further : 0.64, integration : 0.45, contextual : 0.45, factors : 0.52, like : 0, environmental : 0.55, conditions : 0.45, enhance : 0, applicability : 0, system : 0.47, offers : 0.64, a : 0, practical : 0.45, tool : 0.5, agriculture : 0.45, improving : 0.58, harvesting : 0.45, reducing : 0.46, waste : 0, supporting : 0.57, sustainable : 0, practices : 0.45 |
| 97. method | 114 words | 0.97 | advanced : 0.43, classification : 0, of : 0, oil : 0, palm : 0, fruit : 0.46, ripeness : 0.43, deep : 0.47, learning : 0.43, for : 0, enhanced : 0.63, agricultural : 0.42, efficiency : 0.42, accurate : 0, determination : 0.57, is : 0, crucial : 0, optimizing : 0.49, yield : 0.58, and : 0, enhancing : 0.52, this : 0.61, study : 0.58, utilizes : 0.43, specifically : 0.42, convolutional : 0.33, neural : 0.44, networks : 0.63, cnns : 0, to : 0.56, classify : 0, into : 0.61, four : 0, stages : 0.44, raw : 0, under : 0.46, ripe : 0.47, overripe : 0.43, the : 0.67, model : 0.62, leverages : 0.43, extensive : 0.52, data : 0.47, preprocessing : 0.5, augmentation : 0.58, techniques : 0.49, handle : 0.44, variations : 0.51, in : 0, lighting : 0.36, angles : 0, orientation : 0.42, ensuring : 0.43, high : 0.47, accuracy : 0, approach : 0.43, addresses : 0.35, limitations : 0.59, traditional : 0.48, methods : 0.97, such : 0.47, as : 0, human : 0.46, error : 0.58, inconsistencies : 0.32, by : 0, providing : 0.52, an : 0, automated : 0.61, reliable : 0.43, solution : 0.36, real : 0.47, time : 0.58, detection : 0.61, results : 0.44, demonstrate : 0.51, overall : 0.44, 97 : 0, with : 0.61, robust : 0, precision : 0.52, recall : 0.44, f1 : 0, scores : 0.44, across : 0.44, all : 0, categories : 0.49, highlights : 0.42, importance : 0.49, diverse : 0.44, datasets : 0.43, proposes : 0.43, further : 0.54, integration : 0.34, contextual : 0.49, factors : 0.54, like : 0.47, environmental : 0.5, conditions : 0.43, enhance : 0.54, applicability : 0, system : 0.44, offers : 0.44, a : 0, practical : 0.43, tool : 0.61, agriculture : 0, improving : 0.52, harvesting : 0.43, reducing : 0.53, waste : 0.46, supporting : 0.34, sustainable : 0.42, practices : 0.43 |
| 98. post | 114 words | 0.75 | advanced : 0, classification : 0.44, of : 0.58, oil : 0.53, palm : 0.55, fruit : 0.48, ripeness : 0.46, deep : 0, learning : 0, for : 0.53, enhanced : 0, agricultural : 0.44, efficiency : 0, accurate : 0.46, determination : 0.44, is : 0.58, crucial : 0, optimizing : 0.57, yield : 0, and : 0, enhancing : 0, this : 0.5, study : 0, utilizes : 0.46, specifically : 0.39, convolutional : 0.55, neural : 0, networks : 0.42, cnns : 0.5, to : 0.58, classify : 0.46, into : 0.5, four : 0.5, stages : 0.61, raw : 0, under : 0, ripe : 0, overripe : 0.46, the : 0, model : 0.48, leverages : 0, extensive : 0.41, data : 0.5, preprocessing : 0.6, augmentation : 0.44, techniques : 0.45, handle : 0, variations : 0.45, in : 0, lighting : 0.46, angles : 0, orientation : 0.56, ensuring : 0.46, high : 0, accuracy : 0, approach : 0.58, addresses : 0.45, limitations : 0.45, traditional : 0.45, methods : 0.46, such : 0, as : 0.58, human : 0, error : 0, inconsistencies : 0.65, by : 0, providing : 0.62, an : 0, automated : 0.41, reliable : 0, solution : 0.6, real : 0, time : 0, detection : 0.45, results : 0.6, demonstrate : 0.67, overall : 0.46, 97 : 0, with : 0.5, robust : 0.75, precision : 0.62, recall : 0, f1 : 0, scores : 0.44, across : 0.61, all : 0, categories : 0.4, highlights : 0, importance : 0.68, diverse : 0, datasets : 0.42, proposes : 0.74, further : 0.46, integration : 0.45, contextual : 0.57, factors : 0.46, like : 0, environmental : 0.44, conditions : 0.57, enhance : 0, applicability : 0.44, system : 0.61, offers : 0.47, a : 0, practical : 0.62, tool : 0.5, agriculture : 0.45, improving : 0.57, harvesting : 0.57, reducing : 0, waste : 0.63, supporting : 0.67, sustainable : 0.56, practices : 0.62 |
| 99. action | 114 words | 0.75 | advanced : 0.58, classification : 0.46, of : 0, oil : 0.5, palm : 0.47, fruit : 0.41, ripeness : 0.53, deep : 0, learning : 0.51, for : 0, enhanced : 0.53, agricultural : 0.59, efficiency : 0.49, accurate : 0.62, determination : 0.58, is : 0, crucial : 0.54, optimizing : 0.56, yield : 0.46, and : 0.55, enhancing : 0.5, this : 0.61, study : 0.46, utilizes : 0.53, specifically : 0.5, convolutional : 0.61, neural : 0, networks : 0.53, cnns : 0.47, to : 0.56, classify : 0.51, into : 0.61, four : 0, stages : 0.39, raw : 0.5, under : 0, ripe : 0.47, overripe : 0.43, the : 0.5, model : 0, leverages : 0, extensive : 0.5, data : 0.61, preprocessing : 0.33, augmentation : 0.52, techniques : 0.52, handle : 0.44, variations : 0.71, in : 0, lighting : 0.51, angles : 0.5, orientation : 0.55, ensuring : 0.53, high : 0.47, accuracy : 0.62, approach : 0.58, addresses : 0.48, limitations : 0.59, traditional : 0.7, methods : 0.54, such : 0.47, as : 0.6, human : 0.46, error : 0.46, inconsistencies : 0.59, by : 0, providing : 0.5, an : 0.6, automated : 0.65, reliable : 0.43, solution : 0.6, real : 0.47, time : 0.61, detection : 0.73, results : 0, demonstrate : 0.42, overall : 0, 97 : 0, with : 0.44, robust : 0, precision : 0.7, recall : 0.44, f1 : 0, scores : 0.56, across : 0.73, all : 0.55, categories : 0.64, highlights : 0.42, importance : 0.56, diverse : 0.44, datasets : 0.53, proposes : 0.43, further : 0.44, integration : 0.42, contextual : 0.56, factors : 0.75, like : 0.47, environmental : 0.41, conditions : 0.64, enhance : 0.44, applicability : 0.52, system : 0.44, offers : 0, a : 0.75, practical : 0.7, tool : 0.61, agriculture : 0.53, improving : 0.61, harvesting : 0.69, reducing : 0.63, waste : 0.58, supporting : 0.56, sustainable : 0.59, practices : 0.7 |
| 100. card | 114 words | 0.75 | advanced : 0.58, classification : 0.59, of : 0, oil : 0, palm : 0.5, fruit : 0.48, ripeness : 0.46, deep : 0, learning : 0.58, for : 0.53, enhanced : 0.46, agricultural : 0.5, efficiency : 0.45, accurate : 0.6, determination : 0.38, is : 0, crucial : 0.64, optimizing : 0, yield : 0.48, and : 0.72, enhancing : 0.45, this : 0, study : 0.48, utilizes : 0, specifically : 0.44, convolutional : 0.5, neural : 0.47, networks : 0.46, cnns : 0.55, to : 0, classify : 0.63, into : 0, four : 0.5, stages : 0.47, raw : 0.53, under : 0.48, ripe : 0, overripe : 0.46, the : 0, model : 0.48, leverages : 0.45, extensive : 0, data : 0.5, preprocessing : 0.44, augmentation : 0.44, techniques : 0.45, handle : 0.61, variations : 0.57, in : 0, lighting : 0, angles : 0.47, orientation : 0.45, ensuring : 0.46, high : 0, accuracy : 0.6, approach : 0.58, addresses : 0.58, limitations : 0.45, traditional : 0.56, methods : 0.46, such : 0, as : 0.58, human : 0, error : 0.48, inconsistencies : 0.44, by : 0, providing : 0.57, an : 0.58, automated : 0.45, reliable : 0.42, solution : 0, real : 0.5, time : 0, detection : 0.45, results : 0.46, demonstrate : 0.45, overall : 0.46, 97 : 0, with : 0, robust : 0.47, precision : 0.41, recall : 0.58, f1 : 0, scores : 0.61, across : 0.64, all : 0.53, categories : 0.75, highlights : 0, importance : 0.45, diverse : 0.46, datasets : 0.42, proposes : 0.46, further : 0.46, integration : 0.45, contextual : 0.51, factors : 0.43, like : 0, environmental : 0.44, conditions : 0.61, enhance : 0.46, applicability : 0.38, system : 0, offers : 0.47, a : 0.75, practical : 0.58, tool : 0, agriculture : 0.51, improving : 0.45, harvesting : 0.57, reducing : 0.58, waste : 0.48, supporting : 0.45, sustainable : 0.45, practices : 0.58 |
| 101. similarity | 114 words | 0.68 | advanced : 0.41, classification : 0.57, of : 0, oil : 0.62, palm : 0.57, fruit : 0.53, ripeness : 0.41, deep : 0, learning : 0.47, for : 0.48, enhanced : 0.41, agricultural : 0.51, efficiency : 0.53, accurate : 0.45, determination : 0.55, is : 0.57, crucial : 0.47, optimizing : 0.6, yield : 0.53, and : 0, enhancing : 0.31, this : 0.4, study : 0.49, utilizes : 0.45, specifically : 0.68, convolutional : 0.34, neural : 0.49, networks : 0.41, cnns : 0.45, to : 0, classify : 0.58, into : 0.45, four : 0.45, stages : 0.56, raw : 0.48, under : 0.43, ripe : 0.45, overripe : 0.32, the : 0, model : 0.53, leverages : 0.43, extensive : 0.4, data : 0.45, preprocessing : 0.45, augmentation : 0.41, techniques : 0.4, handle : 0.34, variations : 0.5, in : 0.53, lighting : 0.51, angles : 0.42, orientation : 0.46, ensuring : 0.45, high : 0.45, accuracy : 0.45, approach : 0.32, addresses : 0.4, limitations : 0.61, traditional : 0.46, methods : 0.41, such : 0.51, as : 0.53, human : 0.53, error : 0.43, inconsistencies : 0.48, by : 0, providing : 0.47, an : 0, automated : 0.54, reliable : 0.45, solution : 0.56, real : 0.4, time : 0.57, detection : 0.31, results : 0.58, demonstrate : 0.5, overall : 0.47, 97 : 0, with : 0.45, robust : 0.51, precision : 0.47, recall : 0.34, f1 : 0, scores : 0.56, across : 0.34, all : 0.48, categories : 0.37, highlights : 0.52, importance : 0.57, diverse : 0.5, datasets : 0.45, proposes : 0, further : 0.41, integration : 0.52, contextual : 0.3, factors : 0.5, like : 0.4, environmental : 0.49, conditions : 0.42, enhance : 0.41, applicability : 0.65, system : 0.56, offers : 0.42, a : 0, practical : 0.45, tool : 0.45, agriculture : 0.46, improving : 0.53, harvesting : 0.43, reducing : 0.41, waste : 0.37, supporting : 0.53, sustainable : 0.47, practices : 0.38 |
| 102. checker | 114 words | 0.65 | advanced : 0.51, classification : 0.53, of : 0, oil : 0, palm : 0, fruit : 0, ripeness : 0.51, deep : 0.46, learning : 0.51, for : 0, enhanced : 0.61, agricultural : 0.32, efficiency : 0.47, accurate : 0.61, determination : 0.55, is : 0, crucial : 0.57, optimizing : 0, yield : 0.45, and : 0, enhancing : 0.48, this : 0.46, study : 0, utilizes : 0.42, specifically : 0.45, convolutional : 0.47, neural : 0.44, networks : 0.49, cnns : 0.52, to : 0, classify : 0.48, into : 0, four : 0, stages : 0.44, raw : 0, under : 0.56, ripe : 0.46, overripe : 0.49, the : 0.65, model : 0.45, leverages : 0.59, extensive : 0.5, data : 0, preprocessing : 0.46, augmentation : 0.41, techniques : 0.53, handle : 0.54, variations : 0.41, in : 0, lighting : 0.42, angles : 0.44, orientation : 0.41, ensuring : 0.51, high : 0.46, accuracy : 0.6, approach : 0.35, addresses : 0.48, limitations : 0, traditional : 0, methods : 0.36, such : 0.6, as : 0, human : 0.45, error : 0.56, inconsistencies : 0.47, by : 0, providing : 0, an : 0, automated : 0.42, reliable : 0.51, solution : 0, real : 0.46, time : 0.46, detection : 0.48, results : 0.43, demonstrate : 0.49, overall : 0.43, 97 : 0, with : 0.46, robust : 0, precision : 0.34, recall : 0.37, f1 : 0, scores : 0.54, across : 0.44, all : 0, categories : 0.62, highlights : 0.41, importance : 0.33, diverse : 0.51, datasets : 0.42, proposes : 0.42, further : 0.52, integration : 0.49, contextual : 0.55, factors : 0.52, like : 0.43, environmental : 0.44, conditions : 0.47, enhance : 0.63, applicability : 0.41, system : 0.44, offers : 0.54, a : 0, practical : 0.5, tool : 0, agriculture : 0.32, improving : 0.42, harvesting : 0.47, reducing : 0.51, waste : 0.45, supporting : 0.41, sustainable : 0, practices : 0.59 |
| 103. input | 114 words | 0.84 | advanced : 0.44, classification : 0.51, of : 0, oil : 0.51, palm : 0, fruit : 0.6, ripeness : 0.55, deep : 0.48, learning : 0.44, for : 0, enhanced : 0.44, agricultural : 0.62, efficiency : 0.43, accurate : 0.55, determination : 0.43, is : 0.61, crucial : 0.45, optimizing : 0.47, yield : 0.47, and : 0.51, enhancing : 0.44, this : 0, study : 0.47, utilizes : 0.49, specifically : 0.36, convolutional : 0.61, neural : 0.58, networks : 0.55, cnns : 0.48, to : 0, classify : 0, into : 0.71, four : 0.48, stages : 0, raw : 0, under : 0.47, ripe : 0.63, overripe : 0, the : 0, model : 0, leverages : 0, extensive : 0.37, data : 0, preprocessing : 0.43, augmentation : 0.51, techniques : 0.47, handle : 0.46, variations : 0.53, in : 0.84, lighting : 0.55, angles : 0.46, orientation : 0.62, ensuring : 0.55, high : 0.48, accuracy : 0.44, approach : 0.44, addresses : 0, limitations : 0.53, traditional : 0.36, methods : 0.45, such : 0, as : 0, human : 0, error : 0, inconsistencies : 0.68, by : 0, providing : 0.44, an : 0.57, automated : 0.54, reliable : 0.44, solution : 0.55, real : 0, time : 0.48, detection : 0.44, results : 0.56, demonstrate : 0.53, overall : 0, 97 : 0, with : 0.48, robust : 0.58, precision : 0.44, recall : 0, f1 : 0, scores : 0, across : 0, all : 0, categories : 0.43, highlights : 0.53, importance : 0.67, diverse : 0.45, datasets : 0.44, proposes : 0.44, further : 0.56, integration : 0.7, contextual : 0.52, factors : 0.45, like : 0.48, environmental : 0.35, conditions : 0.52, enhance : 0.45, applicability : 0.35, system : 0.46, offers : 0, a : 0, practical : 0.54, tool : 0, agriculture : 0.62, improving : 0.59, harvesting : 0.43, reducing : 0.44, waste : 0.47, supporting : 0.52, sustainable : 0.53, practices : 0.54 |
| 104. control | 114 words | 0.84 | advanced : 0.42, classification : 0.53, of : 0.55, oil : 0.49, palm : 0, fruit : 0.45, ripeness : 0.42, deep : 0, learning : 0.35, for : 0.65, enhanced : 0.42, agricultural : 0.47, efficiency : 0.41, accurate : 0.49, determination : 0.39, is : 0, crucial : 0.57, optimizing : 0.5, yield : 0, and : 0.49, enhancing : 0.42, this : 0, study : 0.45, utilizes : 0.51, specifically : 0.48, convolutional : 0.78, neural : 0.64, networks : 0.57, cnns : 0.64, to : 0.55, classify : 0.48, into : 0.56, four : 0.6, stages : 0.44, raw : 0, under : 0.56, ripe : 0, overripe : 0.51, the : 0, model : 0.56, leverages : 0.42, extensive : 0.34, data : 0.46, preprocessing : 0.31, augmentation : 0.56, techniques : 0.41, handle : 0.54, variations : 0.47, in : 0.55, lighting : 0.42, angles : 0.44, orientation : 0.62, ensuring : 0.51, high : 0, accuracy : 0.51, approach : 0.35, addresses : 0.42, limitations : 0.49, traditional : 0.65, methods : 0.52, such : 0.46, as : 0, human : 0.45, error : 0.4, inconsistencies : 0.49, by : 0, providing : 0.34, an : 0.55, automated : 0.34, reliable : 0.42, solution : 0.6, real : 0, time : 0, detection : 0.5, results : 0.36, demonstrate : 0.65, overall : 0.62, 97 : 0, with : 0.46, robust : 0.54, precision : 0.48, recall : 0.54, f1 : 0, scores : 0.64, across : 0.53, all : 0, categories : 0.62, highlights : 0.41, importance : 0.47, diverse : 0.43, datasets : 0.42, proposes : 0.49, further : 0.36, integration : 0.65, contextual : 0.84, factors : 0.63, like : 0, environmental : 0.39, conditions : 0.82, enhance : 0.43, applicability : 0.31, system : 0.44, offers : 0.54, a : 0, practical : 0.55, tool : 0.46, agriculture : 0.48, improving : 0.34, harvesting : 0.33, reducing : 0, waste : 0.45, supporting : 0.47, sustainable : 0.46, practices : 0.42 |
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| 116. submit | 114 words | 0.7 | advanced : 0, classification : 0.57, of : 0, oil : 0, palm : 0.47, fruit : 0.7, ripeness : 0.43, deep : 0, learning : 0.43, for : 0, enhanced : 0, agricultural : 0.47, efficiency : 0.42, accurate : 0.53, determination : 0.41, is : 0.56, crucial : 0.54, optimizing : 0.49, yield : 0, and : 0, enhancing : 0.43, this : 0.47, study : 0.62, utilizes : 0.53, specifically : 0.55, convolutional : 0.47, neural : 0.44, networks : 0.43, cnns : 0, to : 0, classify : 0.53, into : 0, four : 0.47, stages : 0.5, raw : 0, under : 0.46, ripe : 0, overripe : 0.43, the : 0, model : 0, leverages : 0, extensive : 0.35, data : 0, preprocessing : 0, augmentation : 0.58, techniques : 0.42, handle : 0, variations : 0.51, in : 0, lighting : 0.53, angles : 0, orientation : 0.51, ensuring : 0.63, high : 0, accuracy : 0.43, approach : 0, addresses : 0, limitations : 0.48, traditional : 0.51, methods : 0, such : 0.69, as : 0.56, human : 0.58, error : 0, inconsistencies : 0.46, by : 0.56, providing : 0.43, an : 0, automated : 0.5, reliable : 0.36, solution : 0.67, real : 0, time : 0.47, detection : 0.35, results : 0.64, demonstrate : 0.51, overall : 0, 97 : 0, with : 0, robust : 0.56, precision : 0.43, recall : 0, f1 : 0, scores : 0.5, across : 0, all : 0, categories : 0.34, highlights : 0.51, importance : 0.49, diverse : 0, datasets : 0.43, proposes : 0, further : 0.54, integration : 0.51, contextual : 0.42, factors : 0.44, like : 0, environmental : 0.47, conditions : 0.51, enhance : 0, applicability : 0.33, system : 0.6, offers : 0, a : 0, practical : 0.35, tool : 0, agriculture : 0.48, improving : 0.52, harvesting : 0.34, reducing : 0.53, waste : 0.58, supporting : 0.68, sustainable : 0.67, practices : 0.35 |
| 117. cekin | 114 words | 0.67 | advanced : 0.44, classification : 0.56, of : 0, oil : 0, palm : 0, fruit : 0.47, ripeness : 0.55, deep : 0.48, learning : 0.55, for : 0, enhanced : 0.55, agricultural : 0.36, efficiency : 0.61, accurate : 0.44, determination : 0.61, is : 0, crucial : 0.61, optimizing : 0.53, yield : 0.47, and : 0, enhancing : 0.53, this : 0.48, study : 0, utilizes : 0.44, specifically : 0.51, convolutional : 0.55, neural : 0.46, networks : 0.44, cnns : 0.54, to : 0, classify : 0.6, into : 0, four : 0, stages : 0, raw : 0, under : 0, ripe : 0, overripe : 0.55, the : 0.51, model : 0, leverages : 0.44, extensive : 0.53, data : 0, preprocessing : 0.43, augmentation : 0.52, techniques : 0.57, handle : 0.46, variations : 0.53, in : 0, lighting : 0.55, angles : 0, orientation : 0.51, ensuring : 0.55, high : 0, accuracy : 0.44, approach : 0, addresses : 0.44, limitations : 0.43, traditional : 0.53, methods : 0.45, such : 0, as : 0, human : 0.47, error : 0.47, inconsistencies : 0.43, by : 0, providing : 0.54, an : 0, automated : 0, reliable : 0.55, solution : 0.55, real : 0.48, time : 0, detection : 0.54, results : 0.45, demonstrate : 0.53, overall : 0.45, 97 : 0, with : 0, robust : 0, precision : 0.53, recall : 0.41, f1 : 0, scores : 0.46, across : 0.46, all : 0, categories : 0.67, highlights : 0.43, importance : 0.53, diverse : 0.4, datasets : 0, proposes : 0, further : 0, integration : 0.46, contextual : 0.57, factors : 0.45, like : 0.48, environmental : 0.5, conditions : 0.57, enhance : 0.56, applicability : 0.35, system : 0, offers : 0.46, a : 0, practical : 0.54, tool : 0, agriculture : 0.36, improving : 0.54, harvesting : 0.63, reducing : 0.66, waste : 0, supporting : 0.53, sustainable : 0.53, practices : 0.54 |
| 118. value | 114 words | 0.73 | advanced : 0.55, classification : 0.35, of : 0, oil : 0.51, palm : 0.63, fruit : 0.47, ripeness : 0.44, deep : 0, learning : 0.49, for : 0, enhanced : 0.55, agricultural : 0.51, efficiency : 0.43, accurate : 0.66, determination : 0.43, is : 0, crucial : 0.45, optimizing : 0, yield : 0.47, and : 0.51, enhancing : 0.44, this : 0, study : 0.47, utilizes : 0.55, specifically : 0.43, convolutional : 0.61, neural : 0.46, networks : 0.44, cnns : 0, to : 0, classify : 0.38, into : 0, four : 0.48, stages : 0.58, raw : 0.51, under : 0.47, ripe : 0.48, overripe : 0.55, the : 0, model : 0.47, leverages : 0.48, extensive : 0.44, data : 0.48, preprocessing : 0.43, augmentation : 0.62, techniques : 0.37, handle : 0.7, variations : 0.63, in : 0, lighting : 0.44, angles : 0.7, orientation : 0.43, ensuring : 0.44, high : 0, accuracy : 0.55, approach : 0.44, addresses : 0.54, limitations : 0.36, traditional : 0.43, methods : 0, such : 0, as : 0.57, human : 0, error : 0, inconsistencies : 0.42, by : 0, providing : 0.44, an : 0.57, automated : 0.64, reliable : 0.55, solution : 0.55, real : 0.63, time : 0.48, detection : 0.44, results : 0.4, demonstrate : 0.43, overall : 0.56, 97 : 0, with : 0, robust : 0.46, precision : 0.44, recall : 0.58, f1 : 0, scores : 0.46, across : 0.46, all : 0.69, categories : 0.53, highlights : 0.43, importance : 0, diverse : 0.56, datasets : 0.55, proposes : 0.44, further : 0.56, integration : 0.43, contextual : 0.37, factors : 0.45, like : 0.48, environmental : 0.35, conditions : 0, enhance : 0.56, applicability : 0.52, system : 0.46, offers : 0.46, a : 0.73, practical : 0.44, tool : 0.48, agriculture : 0.51, improving : 0, harvesting : 0.52, reducing : 0.38, waste : 0.6, supporting : 0.43, sustainable : 0.36, practices : 0.54 |
| 119. dark | 114 words | 0.75 | advanced : 0.42, classification : 0.44, of : 0, oil : 0, palm : 0.5, fruit : 0.48, ripeness : 0.46, deep : 0.55, learning : 0.58, for : 0.53, enhanced : 0.46, agricultural : 0.56, efficiency : 0, accurate : 0.58, determination : 0.6, is : 0, crucial : 0.46, optimizing : 0, yield : 0, and : 0.53, enhancing : 0.45, this : 0, study : 0, utilizes : 0, specifically : 0, convolutional : 0, neural : 0.47, networks : 0.58, cnns : 0, to : 0, classify : 0.46, into : 0, four : 0.5, stages : 0.47, raw : 0.53, under : 0, ripe : 0, overripe : 0.46, the : 0, model : 0, leverages : 0.45, extensive : 0, data : 0.73, preprocessing : 0.44, augmentation : 0.44, techniques : 0, handle : 0.47, variations : 0.57, in : 0, lighting : 0, angles : 0.47, orientation : 0.45, ensuring : 0.46, high : 0, accuracy : 0.58, approach : 0.58, addresses : 0.58, limitations : 0.45, traditional : 0.56, methods : 0, such : 0, as : 0.58, human : 0, error : 0.48, inconsistencies : 0, by : 0, providing : 0.45, an : 0.58, automated : 0.45, reliable : 0.42, solution : 0, real : 0.5, time : 0, detection : 0.51, results : 0.46, demonstrate : 0.5, overall : 0.46, 97 : 0, with : 0, robust : 0.47, precision : 0.45, recall : 0.44, f1 : 0, scores : 0.47, across : 0.61, all : 0.53, categories : 0.57, highlights : 0, importance : 0.45, diverse : 0.64, datasets : 0.67, proposes : 0.46, further : 0.46, integration : 0.45, contextual : 0, factors : 0.46, like : 0.5, environmental : 0.44, conditions : 0.45, enhance : 0.46, applicability : 0.44, system : 0, offers : 0.47, a : 0.75, practical : 0.41, tool : 0, agriculture : 0.56, improving : 0.45, harvesting : 0.57, reducing : 0.42, waste : 0.48, supporting : 0.45, sustainable : 0.45, practices : 0.41 |
| 120. float | 114 words | 0.72 | advanced : 0.44, classification : 0.57, of : 0.57, oil : 0.51, palm : 0.48, fruit : 0.64, ripeness : 0, deep : 0, learning : 0.55, for : 0.72, enhanced : 0.44, agricultural : 0.51, efficiency : 0.43, accurate : 0.55, determination : 0.35, is : 0, crucial : 0.45, optimizing : 0.53, yield : 0, and : 0, enhancing : 0.44, this : 0, study : 0, utilizes : 0.38, specifically : 0.52, convolutional : 0.5, neural : 0.46, networks : 0.38, cnns : 0, to : 0.57, classify : 0.55, into : 0.48, four : 0.67, stages : 0.46, raw : 0, under : 0, ripe : 0, overripe : 0.44, the : 0, model : 0.47, leverages : 0.54, extensive : 0.44, data : 0.48, preprocessing : 0.43, augmentation : 0.52, techniques : 0.43, handle : 0.46, variations : 0.53, in : 0, lighting : 0.55, angles : 0.46, orientation : 0.51, ensuring : 0, high : 0, accuracy : 0.44, approach : 0.38, addresses : 0.44, limitations : 0.51, traditional : 0.36, methods : 0.4, such : 0, as : 0, human : 0.47, error : 0.47, inconsistencies : 0.51, by : 0, providing : 0.44, an : 0, automated : 0.48, reliable : 0.55, solution : 0.55, real : 0.48, time : 0, detection : 0.44, results : 0.45, demonstrate : 0.53, overall : 0.56, 97 : 0, with : 0, robust : 0.58, precision : 0, recall : 0.46, f1 : 0.61, scores : 0.46, across : 0.46, all : 0.51, categories : 0.47, highlights : 0.53, importance : 0.52, diverse : 0, datasets : 0.55, proposes : 0.44, further : 0.61, integration : 0.36, contextual : 0.53, factors : 0.7, like : 0.48, environmental : 0.43, conditions : 0.53, enhance : 0.45, applicability : 0.35, system : 0.46, offers : 0.41, a : 0, practical : 0.54, tool : 0.48, agriculture : 0.53, improving : 0.44, harvesting : 0.53, reducing : 0, waste : 0.47, supporting : 0.53, sustainable : 0.36, practices : 0.54 |
| 121. right | 114 words | 0.78 | advanced : 0, classification : 0.51, of : 0, oil : 0.51, palm : 0, fruit : 0.6, ripeness : 0.64, deep : 0, learning : 0.44, for : 0, enhanced : 0.44, agricultural : 0.59, efficiency : 0.43, accurate : 0.44, determination : 0.44, is : 0.57, crucial : 0.45, optimizing : 0.37, yield : 0.47, and : 0, enhancing : 0.44, this : 0.48, study : 0, utilizes : 0.38, specifically : 0.43, convolutional : 0.43, neural : 0, networks : 0.44, cnns : 0, to : 0, classify : 0, into : 0.48, four : 0, stages : 0.46, raw : 0.56, under : 0, ripe : 0.71, overripe : 0.44, the : 0, model : 0, leverages : 0, extensive : 0.44, data : 0, preprocessing : 0.43, augmentation : 0.52, techniques : 0.52, handle : 0, variations : 0.63, in : 0.57, lighting : 0.77, angles : 0.46, orientation : 0.62, ensuring : 0, high : 0.78, accuracy : 0, approach : 0.44, addresses : 0.44, limitations : 0.53, traditional : 0.46, methods : 0.4, such : 0.48, as : 0, human : 0, error : 0.47, inconsistencies : 0.51, by : 0, providing : 0.54, an : 0, automated : 0.44, reliable : 0.6, solution : 0.44, real : 0.54, time : 0.48, detection : 0.44, results : 0.61, demonstrate : 0.43, overall : 0, 97 : 0, with : 0.63, robust : 0.62, precision : 0.54, recall : 0.51, f1 : 0, scores : 0, across : 0.46, all : 0, categories : 0.37, highlights : 0.61, importance : 0.52, diverse : 0.45, datasets : 0.44, proposes : 0.44, further : 0.57, integration : 0.51, contextual : 0.43, factors : 0.45, like : 0.48, environmental : 0.35, conditions : 0.53, enhance : 0.45, applicability : 0.43, system : 0.46, offers : 0, a : 0, practical : 0.54, tool : 0, agriculture : 0.6, improving : 0.37, harvesting : 0.52, reducing : 0.5, waste : 0.47, supporting : 0.43, sustainable : 0.36, practices : 0.54 |
| 122. footer | 114 words | 0.8 | advanced : 0.43, classification : 0.41, of : 0.61, oil : 0.5, palm : 0, fruit : 0.62, ripeness : 0.43, deep : 0.47, learning : 0.53, for : 0.73, enhanced : 0.43, agricultural : 0.33, efficiency : 0.34, accurate : 0.46, determination : 0.47, is : 0, crucial : 0, optimizing : 0.51, yield : 0.46, and : 0, enhancing : 0, this : 0, study : 0.46, utilizes : 0.53, specifically : 0.33, convolutional : 0.58, neural : 0.44, networks : 0.64, cnns : 0, to : 0.56, classify : 0, into : 0.44, four : 0.8, stages : 0.56, raw : 0, under : 0.58, ripe : 0.47, overripe : 0.63, the : 0.5, model : 0.58, leverages : 0.52, extensive : 0.52, data : 0.47, preprocessing : 0.47, augmentation : 0.33, techniques : 0.51, handle : 0.44, variations : 0.34, in : 0, lighting : 0.43, angles : 0.44, orientation : 0.59, ensuring : 0.43, high : 0, accuracy : 0.43, approach : 0.36, addresses : 0.35, limitations : 0.42, traditional : 0.51, methods : 0.37, such : 0, as : 0, human : 0, error : 0.58, inconsistencies : 0.57, by : 0, providing : 0.43, an : 0, automated : 0.5, reliable : 0.43, solution : 0.53, real : 0, time : 0.47, detection : 0.35, results : 0.44, demonstrate : 0.55, overall : 0.64, 97 : 0, with : 0.47, robust : 0.56, precision : 0.43, recall : 0, f1 : 0.6, scores : 0.56, across : 0.44, all : 0, categories : 0.56, highlights : 0, importance : 0.49, diverse : 0.54, datasets : 0.53, proposes : 0.63, further : 0.77, integration : 0.59, contextual : 0.6, factors : 0.7, like : 0.47, environmental : 0.41, conditions : 0.51, enhance : 0.44, applicability : 0, system : 0.56, offers : 0.69, a : 0, practical : 0.43, tool : 0.61, agriculture : 0.34, improving : 0.35, harvesting : 0.49, reducing : 0.43, waste : 0.58, supporting : 0.49, sustainable : 0.42, practices : 0.52 |
Average Result
71.05%
0.7105204684508