Quan Zheng
Papers
3
Total Citations
108
H-Index
3
About
Dr. Quan Zheng is a pioneering researcher in agricultural robotics and intelligent control systems, with a focus on enhancing automation and precision in field operations. His work primarily spans path-following algorithms, fault-tolerant control, and computer vision for agricultural applications. Zheng’s most influential contribution is the development of a sliding mode variable structure algorithm for caterpillar robots, which achieved 73 citations and established a robust framework for autonomous navigation in complex terrains. He further advanced this field by integrating fractional sliding mode control into fault-tolerant systems for crawler plant protection robots, ensuring operational reliability under adverse conditions. More recently, Zheng introduced an improved YOLOv5-based approach for soybean phenotype information perception (22 citations), demonstrating his versatility in applying deep learning to agricultural sensing. His research bridges theoretical control engineering with practical robotic solutions, directly addressing challenges in precision agriculture. With over 100 cumulative citations, Zheng’s work has significantly influenced the design of resilient, vision-guided agricultural robots, making him a notable figure in the intersection of robotics and sustainable farming technology.
Research Focus
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Top Papers
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