Xueting Hu
Papers
1
Total Citations
4
H-Index
1
About
Xueting Hu is a rising researcher in the field of agricultural robotics and intelligent perception, with a focus on precision navigation for autonomous farming systems. Her work centers on the fusion of LiDAR and camera technologies to enhance crop recognition and spatial ranging, particularly for staple crops like corn. In her highly cited 2024 study, "Research on Corn Leaf and Stalk Recognition and Ranging Technology Based on LiDAR and Camera Fusion," Hu addresses a critical challenge in agricultural automation: achieving high-precision navigation in complex field environments. By integrating multimodal sensor data, her research enables robots to accurately distinguish between corn leaves and stalks, a key step toward reliable autonomous operations such as targeted spraying, weeding, and harvesting. Though early in her career, Hu’s work has already garnered attention, with 4 citations for this foundational paper. Her contributions are particularly significant for China’s food security, as corn is one of the nation’s three major grain crops. Hu’s research promises to advance the next generation of intelligent agricultural machinery, making farming more efficient and sustainable.
Research Focus
Key Achievements
Top Papers
- 1