Papers
3
Total Citations
109
H-Index
3
About
Baofeng Su is a leading researcher in agricultural robotics and precision viticulture, with a focus on deep learning for fruit detection and automated harvesting. His work centers on developing computer vision systems that enable robots to accurately identify, segment, and track fruit in complex field environments. Su’s most impactful contribution is a real-time grape cluster tracking and counting system using a channel-pruned YOLOv5s architecture, which has garnered 78 citations for its efficiency in guiding harvesting robots. He also advanced field segmentation with an improved pyramid scene parsing network, achieving 25 citations by enabling precise grape bunch delineation in vineyards. Earlier, Su pioneered a method to acquire kiwifruit feature point coordinates from spatial image data, laying groundwork for fruit-picking robot navigation. His research directly addresses the growing need for mechanization in agriculture, particularly for wine grape and kiwifruit production. By combining lightweight neural networks with practical robotic applications, Su has made significant strides in bringing intelligent harvesting systems from lab to field, with his work cited over 100 times and influencing the next generation of agricultural automation.
Research Focus
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