A Novel MaxViT Model for Accelerated and Precise Soybean Leaf and Seed Disease Identification
Timely diagnosis of soybean diseases is essential to protect yields and limit global economic loss, yet current deep learning approaches suffer from small, imbalanced datasets, single-organ focus, and limited interpretability. We propose MaxViT-XSLD (MaxViT XAI-Seed–Leaf-Diagnostic), a Vision Transf...
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| Autors principals: | , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-05-01
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| Col·lecció: | Computers |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2073-431X/14/5/197 |
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