Papers
2
Total Citations
7
H-Index
1
About
Liyang Su is a researcher advancing the frontiers of agricultural robotics, with a focus on intelligent harvesting systems for specialty crops. Their work centers on computer vision and deep learning for fruit detection in challenging orchard and greenhouse environments. Su’s most-cited paper, "Cucumber Picking Recognition in Near-Color Background Based on Improved YOLOv5" (2023, 6 citations), tackles a critical bottleneck in robotic harvesting: accurately detecting cucumbers against similarly colored foliage. By enhancing the YOLOv5 architecture, Su addressed near-color background interference, occlusion, and scale diversity, achieving rapid, precise recognition essential for autonomous pickers. This contribution directly supports the development of more reliable harvesting robots in complex agricultural settings. More recently, Su authored "Current Research Status and Development Trends of Key Technologies for Pear Harvesting Robots" (2025, 1 citation), a comprehensive review that systematically analyzes progress in perception, manipulation, and navigation for pear orchards. This work underscores Su’s role in synthesizing the field’s challenges and guiding future innovation. Through targeted algorithmic improvements and forward-looking reviews, Liyang Su is helping to bridge the gap between laboratory research and practical, labor-saving robotic solutions for global agriculture.
Research Focus
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Top Papers
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