Training and Optimization of a Rice Disease Detection Model Based on Ensemble Learning
Accurate and reliable detection of rice diseases and pests is crucial for ensuring food security. However, traditional deep learning methods often suffer from high rates of missed and false detections when dealing with complex field environments, especially in the presence of tiny disease spots, due...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2025-11-01
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| Serie: | Agriculture |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2077-0472/15/21/2283 |
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