YOLOv7-GCA: A Lightweight and High-Performance Model for Pepper Disease Detection
Existing disease detection models for deep learning-based monitoring and prevention of pepper diseases face challenges in accurately identifying and preventing diseases due to inter-crop occlusion and various complex backgrounds. To address this issue, we propose a modified YOLOv7-GCA model based on...
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| Autors principals: | , , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2024-03-01
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| Col·lecció: | Agronomy |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2073-4395/14/3/618 |
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