Real-Time Lightweight Detection of Lychee Diseases with Enhanced YOLOv7 and Edge Computing

Real-Time Lightweight Detection of Lychee Diseases with Enhanced YOLOv7 and Edge Computing

Lychee is an economically important crop with widespread popularity. However, lychee diseases significantly impact both the yield and fruit quality of lychee. Existing lychee disease detection models face challenges such as large parameter sizes, slow processing speeds, and deployment complexities....

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Bibliographic Details
Main Authors: Jiayi Xiao, Gaobi Kang, Linhui Wang, Yongda Lin, Fanguo Zeng, Jianyu Zheng, Rong Zhang, Xuejun Yue
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Agronomy
Subjects:
YOLOv7
GhostNetV1
channel pruning
disease identification
edge computing
Online Access:https://www.mdpi.com/2073-4395/13/12/2866

Internet

https://www.mdpi.com/2073-4395/13/12/2866

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