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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Xuejun Yue, Haifeng Li, Qingkui Song, Fanguo Zeng, Jianyu Zheng, Ziyu Ding, Gaobi Kang, Yulin Cai, Yongda Lin, Xiaowan Xu, Chaoran Yu
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-03-01
Schriftenreihe:Agronomy
Schlagworte:
pepper diseases
YOLOv7-GCA
lightweight
attention mechanism
CFNet
Online-Zugang:https://www.mdpi.com/2073-4395/14/3/618
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