Deep learning model for precise and rapid prediction of tomato maturity based on image recognition
Tomato maturity plays a pivotal role in optimizing harvest timing and ensuring product quality, but current methods struggle to achieve high accuracy along computational efficiency simultaneously. Existing deep learning approaches, while accurate, are often too computationally demanding for practica...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-09-01
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| Series: | Food Physics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950069925000143 |
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