Predicting postharvest weight loss and texture changes in table grapes using fruit color and machine learning
Accurately predicting postharvest quality is crucial for optimizing storage and reducing losses in table grapes. This study explores the potential of fruit color parameters as non-invasive indicators of postharvest weight loss and textural changes. Using convolutional neural networks (CNNs), we deve...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Future Foods |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666833525001613 |
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