Smart plant disease diagnosis using multiple deep learning and web application integration
Accurate and efficient plant disease diagnosis is crucial for sustainable agriculture and global food security, as diseases significantly impact crop productivity. Despite advancements in deep learning, the performance and scalability of many models remain limited. This study addresses this gap by e...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Journal of Agriculture and Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154325003199 |
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