Cotton seedling monitoring and growth stage classification integrating deep learning and feature engineering
Early monitoring of crop development is crucial for precision agriculture, particularly for detecting acute stress and ensuring maximum yield potential. This study introduces a robust, high-throughput phenotyping framework that combines deep learning with biologically grounded feature engineering to...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-12-01
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| Серія: | Smart Agricultural Technology |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2772375525008500 |
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