Open access
Sep 2026
RGC-YOLO: a lightweight YOLOv8n-based detector for edge-deployable weed detection in Xinjiang cotton fields
The cotton field weed detection model must balance detection accuracy, model size, and inference efficiency when deployed at the edge. This study constructed a dataset comprising four types of weeds based on field images collected from cotton fields in Xinjiang and proposed a lightweight detection model, RGC-YOLO, base...
Qian-Qian Mu, Yong-Ke Li, Nueraili Aierken et al.
· Frontiers in Plant Science · 0 citations