Detection of Mulberry Leaf Diseases in Natural Environments Based on Improved YOLOv8
Ming Zhang,
Chang Yuan,
Qinghua Liu
et al.
Abstract:Mulberry leaves, when infected by pathogens, can suffer significant yield loss or even death if early disease detection and timely spraying are not performed. To enhance the detection performance of mulberry leaf diseases in natural environments and to precisely locate early small lesions, we propose a high-precision, high-efficiency disease detection algorithm named YOLOv8-RFMD. Based on improvements to You Only Look Once version 8 (YOLOv8), we first proposed the Multi-Dimension Feature Attention (MDFA) modul… Show more
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