Fa-Chao Jiang

Lightweight detection of companion weeds in rapeseed based on improved YOLOv13n

To solve the problems in accurately and efficiently detecting weeds in rapeseed fields under complex conditions, this paper proposes an improved MMB-YOLO model based on YOLOv13n. This model is built upon YOLOv13n and employs the MobileNetV3 lightweight architecture as the backbone network to decrease the model comple...