Precision diagnosis of tomato diseases for sustainable agriculture through deep learning approach with hybrid data augmentation
Tomato is a key crop in global agriculture, yet it faces yield and quality challenges due to various diseases. Traditional disease identification methods are slow and require expertise, limiting their practicality in large-scale farming. Integrating automated disease detection with precision agricul...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Current Plant Biology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214662825000052 |
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