Zhengang Yang
Papers
10
Total Citations
596
H-Index
10
About
Dr. Zhengang Yang is a leading researcher in agricultural robotics and computer vision, specializing in the automated harvesting of fruits in complex, natural environments. His work primarily focuses on developing robust visual detection and localization systems for picking robots, addressing the significant challenges posed by variable lighting, occlusion, and color similarity between fruit and foliage. Dr. Yang’s most impactful contributions include pioneering methods for nighttime detection of litchi fruits and fruiting stems, a paper that has garnered 145 citations, and the development of algorithms for recognizing dynamic litchi clusters under disturbance. He has also advanced the field of green fruit detection, notably with a deep convolutional neural network approach for green citrus that has received 52 citations. His research extends to 3D semantic map reconstruction for unstructured orchards, demonstrating a comprehensive approach to agricultural automation. With over 500 total citations across his ten most-cited works, Dr. Yang’s innovations in visual positioning and deep learning-based detection are instrumental in moving toward the practical, intelligent harvesting of crops like litchi, citrus, and grapes.
Research Focus
Key Achievements
Top Papers
- 1A visual detection method for nighttime litchi fruits and fruiting stems145 citations · 2020
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- 10Litchi detection in the field using an improved YOLOv3 model17 citations · 2022