Yaxiong Wang
Papers
4
Total Citations
150
H-Index
4
About
Yaxiong Wang is a leading researcher at the intersection of computer vision and precision agriculture, specializing in deep learning for intelligent fruit tree management. His work focuses on developing robust object detection and image segmentation algorithms to enable robotic automation in orchards and vineyards. Wang’s most impactful contribution is his research on lightweight, real-time apple detection in complex backgrounds, where his improved YOLOv4 model (81 citations) addresses critical challenges like leaf occlusion and variable lighting for harvesting robots. He has further advanced agricultural robotics by pioneering deep learning methods for branch identification and junction point localization in apple trees (31 citations), providing the spatial intelligence necessary for automated pruning systems. Expanding his work to viticulture, Wang has developed image-based systems for grapevine branch recognition and precise pruning point localization using RGB-D data and instance segmentation. His cumulative work, totaling over 150 citations, bridges the gap between state-of-the-art computer vision and practical agricultural automation, directly enabling the next generation of intelligent harvesting and pruning robots for sustainable farming.
Research Focus
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Top Papers
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