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Author

Yong-Ke Li

2 papers indexed here

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Open access Sep 2026

A Lightweight GDMM-YOLO11 Model for Cotton–Weed Instance Segmentation and Image-Plane Operation-Point Localization

To address the challenges of crop–weed instance segmentation and image-plane operation-point localization under visual similarity, background interference, leaf occlusion, and irregular plant morphology in cotton fields, a lightweight instance-segmentation model, GDMM-YOLO11, was developed. Based on YOLO11n-seg, the fo...

Mengli Shan, Yong-Ke Li, Yun-Jie Zhao et al. · 0 citations
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. · 0 citations

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