CKM-YOLO11: A Lightweight Maize Foliar Disease Detection Model for Complex Natural Field Environments
Accurate and real-time detection of maize foliar diseases is important for field disease monitoring and yield protection. However, in complex natural field environments, different diseases often exhibit high visual similarity, and early weak lesions are easily confused with background elements such...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2026-05-01
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| Collection: | Sensors |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1424-8220/26/10/2969 |
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