A Lightweight YOLOv8 Model for Apple Leaf Disease Detection

A Lightweight YOLOv8 Model for Apple Leaf Disease Detection

China holds the top position globally in apple production and consumption. Detecting diseases during the planting process is crucial for increasing yields and promoting the rapid development of the apple industry. This study proposes a lightweight algorithm for apple leaf disease detection in natura...

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Bibliographic Details
Main Authors: Lijun Gao, Xing Zhao, Xishen Yue, Yawei Yue, Xiaoqiang Wang, Huanhuan Wu, Xuedong Zhang
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Applied Sciences
Subjects:
identification of apple leaf diseases
object detection
lightweight network
ghost networks
GAM
improved BiFPN
Online Access:https://www.mdpi.com/2076-3417/14/15/6710

Internet

https://www.mdpi.com/2076-3417/14/15/6710

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