This research, led by Chen’s team, presents a breakthrough in agricultural robotics. Using an improved YOLO-SaFi-LSDH model, the team employed computer vision and OpenCV techniques for precise safflower filament picking point detection. With an overall 91% detection rate and detailed spatial measurement, the study showcases how advanced image analysis can streamline automated harvesting and enhance crop management.