Xinhua Wei
Papers
1
Total Citations
36
H-Index
1
About
Dr. Xinhua Wei is a leading researcher in agricultural robotics and smart farming, with a primary focus on autonomous navigation and path tracking for agricultural machinery. His most impactful work centers on developing advanced control algorithms that enable unmanned farm operations, a critical component of the emerging "unmanned farm" and smart agriculture paradigms. Dr. Wei's major contribution is the creation of a PSO-Enhanced Fuzzy Stanley Model for full-field path tracking, which significantly improves the precision and adaptability of agricultural robots across complex farmland environments. This work, published in 2022, has already garnered 36 citations, reflecting its immediate relevance to the field. By addressing the gap between theoretical autonomous navigation studies and practical, full-field applications, Dr. Wei's research directly tackles the challenges of real-world agricultural automation. His achievements are particularly notable for bridging the gap between simulation and field deployment, offering robust solutions for the precise control of agricultural machinery in dynamic, unstructured environments—a key step toward realizing the vision of fully autonomous, efficient, and sustainable farming systems.
Research Focus
Key Achievements
Top Papers
- 1