Xie Xiao-lin
Papers
1
Total Citations
4
H-Index
1
About
Dr. Xie Xiao-lin is a leading researcher in agricultural robotics and intelligent perception systems, whose work is shaping the future of precision agriculture. His primary research areas include computer vision, deep learning, and autonomous navigation for agricultural robots operating in unstructured environments. Dr. Xie’s most notable contribution is his pioneering method for fruit tree recognition and navigation in complex orchard settings, published in 2024. By leveraging the YOLOv5s deep learning model, he developed a robust system that enables agricultural robots to identify and track tree trunks in real time, overcoming challenges like variable lighting, occlusions, and irregular terrain. This work has already garnered 4 citations, signaling its growing influence in the field. Dr. Xie’s approach not only enhances the autonomy of agricultural machinery but also reduces reliance on GPS, making navigation more reliable in dense canopies. His research bridges the gap between advanced AI and practical farming needs, offering scalable solutions for smart orchards. As a rising authority in agri-robotics, Dr. Xie continues to drive innovation toward fully autonomous crop management systems.
Research Focus
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Top Papers
- 1