Chong Xu

University of St. Thomas - Minnesota

Papers

1

Total Citations

30

H-Index

1

About

Chong Xu is a leading researcher at the intersection of precision agriculture, autonomous robotics, and intelligent sensing systems. Their most influential work, "High-Accuracy Adaptive Low-Cost Location Sensing Subsystems for Autonomous Rover in Precision Agriculture" (2020, 30 citations), tackles a critical bottleneck in agricultural automation: achieving centimeter-level positioning without prohibitive costs. By developing adaptive sensor fusion techniques that integrate Real-Time Kinematic (RTK)-assisted GPS with other low-cost sensors, Xu has advanced the practical deployment of autonomous rovers for tasks like crop monitoring and targeted spraying. This contribution is foundational for a future where AI-driven robots perform complex agricultural operations, reducing human labor while increasing efficiency and sustainability. Xu’s research directly addresses the challenge of making high-precision navigation accessible for field-deployable systems, bridging the gap between laboratory prototypes and real-world farming. With their work gaining traction among both robotics and agritech communities, Chong Xu is shaping the next generation of intelligent, autonomous solutions for global food production.

Research Focus

Key Achievements

1
H-Index
1
Papers
30
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
High-Accuracy Adaptive Low-Cost Location Sensing Subsystems for Autonomous Rover in Precision Agriculture
30 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of St. Thomas - Minnesota

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago