Jianbo Lu

A lightweight detection method for citrus fruits based on improved YOLO11 in dense occlusion environments

Compared to existing object detection models, SOCD-YOLO demonstrates enhanced performance in terms of citrus fruit detection accuracy and robustness, providing a valuable reference for artificial intelligence based real-time fruit detection and position measurement in densely occluded environments.