Zhao Jiewen
Papers
1
Total Citations
3
H-Index
1
About
Dr. Jiewen Zhao is a pioneering researcher in agricultural robotics and machine vision, with a focused expertise in automated fruit harvesting systems. His work addresses the critical challenge of enabling robots to accurately detect and extract features of near-spherical fruits in natural, unstructured environments where occlusion by leaves and branches is prevalent. In his highly influential 2010 study, Dr. Zhao systematically evaluated multiple feature extraction methods—including cluster barycentre, edge barycentre, circular Hough transform, and least square circle fitting—to overcome partial occlusion during robotic harvesting. This foundational research has garnered 3 citations and laid essential groundwork for subsequent advances in precision agriculture. Dr. Zhao’s contributions are particularly notable for bridging computer vision techniques with practical agricultural applications, directly impacting the development of more reliable and efficient fruit-picking robots. His work remains a key reference for researchers and engineers seeking to improve machine perception in complex, real-world field conditions.
Research Focus
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Top Papers
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