Longfei Cui

Ministry of Agriculture and Rural Affairs

Papers

1

Total Citations

5

H-Index

1

About

Longfei Cui is an emerging researcher specializing in agricultural robotics and autonomous systems, with a particular focus on the intersection of intelligent navigation technologies and precision agriculture. His work addresses one of modern farming's most pressing challenges: enabling agricultural robots to operate efficiently and accurately across complex field environments. Cui's most notable contribution, "Application of Navigation Path Planning and Trajectory Tracking Control Methods for Agricultural Robots" (2025), has already garnered 5 citations shortly after publication — a promising indicator of early impact in a rapidly growing field. This work synthesizes cutting-edge approaches to path planning and trajectory tracking control, providing a comprehensive framework for how autonomous agricultural robots can achieve both operational efficiency and precision coverage. His research bridges the gap between theoretical control methods and real-world agricultural deployment, making it highly relevant to both academic researchers and industry practitioners advancing smart farming technologies. As smart agriculture continues to gain momentum globally, Cui's contributions position him as a valuable voice in developing the robotic systems that will define next-generation farming. Researchers working in agricultural automation, mobile robotics, or precision agriculture will find his work an informative and practically grounded reference.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Application of Navigation Path Planning and Trajectory Tracking Control Methods for Agricultural Robots
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Ministry of Agriculture and Rural Affairs

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago