Papers
4
Total Citations
111
H-Index
4
About
Yongwei Xu is a leading researcher in agricultural robotics, specializing in computer vision and intelligent automation for fruit harvesting. His work focuses on developing robust recognition and localization systems that enable robots to identify and pick delicate crops like strawberries and citrus fruits in complex, real-world environments. Xu’s major contributions include pioneering a two-stage approach using HOG descriptors for detecting slightly overlapping strawberries (57 citations), and advancing deep learning methods with a coupled YOLO/Mask R-CNN framework for 3D strawberry localization from binocular cameras (31 citations). He also developed an improved YOLOv3 algorithm for fast citrus recognition under challenging field conditions (15 citations), and conducted critical parameter analysis for citrus stalk cutting to optimize robotic picking mechanisms (8 citations). By integrating state-of-the-art object detection with practical engineering solutions, Xu’s research directly addresses high labor costs in agriculture, pushing the boundaries of precision harvesting. His work is essential reading for anyone interested in the intersection of computer vision, robotics, and sustainable agriculture.
Research Focus
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