Papers
3
Total Citations
47
H-Index
2
About
Dr. Shuqin Yang is a leading innovator at the intersection of precision agriculture, robotics, and intelligent navigation systems. Her most impactful work centers on developing autonomous solutions for specialty crop production, particularly through the creation of an advanced laser weeding robot for strawberry fields. This system, powered by the novel DIN-LW-YOLO deep learning architecture, represents a major contribution to sustainable farming by enabling precise, chemical-free weed control. With 32 citations since its 2024 publication, this work is rapidly shaping the future of agricultural robotics. Dr. Yang has also made significant strides in humanoid robot navigation, pioneering a pedestrian navigation method that leverages machine learning and gait feature assistance. This research, cited 14 times, addresses a critical challenge in making humanoid robots more autonomous and adaptable to human environments. Most recently, her work on detecting strawberry bloom phenology using the YOLO-RCMC model has established a direct link between flower opening stages and crop development, achieving superior accuracy and efficiency. By integrating computer vision with agricultural science, Dr. Yang’s research is not only advancing robotic perception but also providing practical tools for high-value crop management.
Research Focus
Key Achievements
Top Papers
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