Yuyao Meng
Papers
1
Total Citations
16
H-Index
1
About
Yuyao Meng is a researcher focused on agricultural robotics and precision automation, with a particular emphasis on path planning for autonomous weeding systems. Their most notable contribution is the development of a quadratic traversal algorithm for shortest weeding path planning in cornfields, designed to enhance both the speed and accuracy of weed removal by agricultural mobile robots. This work, published in 2021, has garnered 16 citations, reflecting its relevance to the growing field of smart farming and sustainable crop protection. Meng’s research addresses a critical challenge: enabling robots to navigate complex field environments efficiently while minimizing damage to crops. By proposing a time-efficient algorithm that optimizes weeding routes, their work supports the broader goal of reducing chemical herbicide use through targeted mechanical weeding. This contribution is particularly valuable for students and researchers interested in agricultural robotics, autonomous navigation, and precision agriculture, as it bridges theoretical path planning with real-world field applications.
Research Focus
Key Achievements
Top Papers
- 1