Targeted detection of plant disease infection levels using YOLOv8 and YOLOv9 for agricultural monitoring and public healthcare support
Abstract The excessive use of pesticides poses significant environmental and health risks. A real-time disease detection system can help mitigate this issue by identifying early infections and applying treatment only to affected areas. Building on the work of (P. P. Than), who conducted an exhaustiv...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-02-01
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| Col·lecció: | Discover Artificial Intelligence |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s44163-026-00841-z |
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