Cotton-YOLO-Seg: An Enhanced YOLOV8 Model for Impurity Rate Detection in Machine-Picked Seed Cotton
The detection of the impurity rate in machine-picked seed cotton is crucial for precision agriculture.This study proposes a novel Cotton-YOLO-Seg cotton-impurity instance segmentation algorithm based on the you only look once version 8 small segmentation model (Yolov8s-Seg).The algorithm achieves precise pixel-level segmentation of cotton and impur