Hualin Yang
Papers
2
Total Citations
231
H-Index
2
About
Hualin Yang is a leading researcher in agricultural robotics and computer vision, with a primary focus on automating the harvesting of high-value crops. His most impactful work centers on the development of intelligent picking robots for premium tea, addressing the critical challenge of distinguishing tender, harvestable shoots from mature leaves. Yang’s major contribution lies in integrating deep learning with precision manipulation. His 2019 paper, cited 125 times, introduced an improved YOLO-V3 model for real-time recognition and localization of tender tea shoots, enabling accurate picking point determination. This breakthrough was further advanced in his 2021 work, cited 106 times, where he combined computer vision with a Delta parallel manipulator to create a fully functional, high-quality tea plucking robot. By solving the dual problems of visual perception and delicate handling, Yang’s research directly impacts agricultural productivity and labor efficiency. His work is notable for bridging the gap between artificial intelligence and practical, field-deployable automation, making him a key figure in the emerging field of precision agriculture for specialty crops.
Research Focus
Key Achievements
Top Papers
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