Meng Yan
Papers
1
Total Citations
16
H-Index
1
About
Meng Yan is a leading researcher in agricultural robotics and precision automation, with a focus on intelligent navigation systems for specialty crop production. Their most cited work, "An Ultrasonic Ridge-Tracking Method Based on Limiter Sliding Window Filter and Fuzzy Pure Pursuit Control for Ridge Transplanter" (2024, 16 citations), introduces a novel sensor-fusion approach that combines ultrasonic ranging with advanced filtering and fuzzy logic control. This method enables ridge planters to autonomously track curved planting beds with high accuracy, addressing a critical bottleneck in mechanized vegetable and fruit cultivation. Yan's contributions lie in developing robust, low-cost sensing solutions that replace expensive vision systems, making precision agriculture more accessible. The work has been cited by researchers in autonomous farming, control systems, and mechatronics, reflecting its practical impact on field operations. Yan's research exemplifies how integrating signal processing with adaptive control can solve real-world agricultural challenges, paving the way for smarter, more efficient transplanting systems that reduce labor and improve crop uniformity.
Research Focus
Key Achievements
Top Papers
- 1