Wentai Fang
Papers
7
Total Citations
241
H-Index
6
About
Wentai Fang is a leading researcher in agricultural robotics and precision horticulture, with a focus on developing intelligent systems for fruit and vegetable production. His work centers on computer vision, deep learning, and robotic manipulation to automate labor-intensive tasks such as picking, pollination, and sorting. Fang’s major contributions include the development of a novel pollination robot for kiwifruit flowers that uses preferential flower selection and precise targeting, and a multi-class detection system for kiwifruit flowers based on YOLOv5l and Euclidean distance, which has garnered 59 citations. He has also advanced apple picking robotics through an improved binocular localization method using deep learning (43 citations), and pioneered the detection of abnormal hydroponic lettuce leaves using image processing and machine learning (41 citations). His research on fruit detachment force across multiple kiwifruit varieties has informed the design of universal robotic end-effectors. Fang’s work is highly cited, with several papers exceeding 40 citations, and his innovations are directly shaping the next generation of autonomous agricultural machinery, addressing critical labor shortages in horticulture.
Research Focus
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Top Papers
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