Wuxiong Weng
Papers
3
Total Citations
41
H-Index
2
About
Dr. Wuxiong Weng is a leading researcher in agricultural robotics, with a focused expertise in developing intelligent harvesting systems for tomato crops. His work bridges computer vision and mechanical engineering to solve the core challenges of automated fruit picking. Dr. Weng’s major contributions include pioneering a tomato recognition and localization method using an improved YOLOv5n-seg model combined with binocular stereo vision, which significantly reduces algorithm complexity while enhancing accuracy—a paper that has garnered 28 citations. He has also conducted foundational studies on the mechanical properties of tomatoes and their pedicels, providing critical data for designing specialized end-effectors that can separate fruit from stem without damage. His research on pedicel physical characterization, published in 2024, offers essential insights for optimizing harvesting modes. With a cumulative impact of over 40 citations, Dr. Weng’s work directly advances the practicality of agricultural robotics, moving from theoretical models to real-world applications in precision agriculture.
Research Focus
Key Achievements
Top Papers
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