Jiaonan Yan
Papers
4
Total Citations
139
H-Index
3
About
Jiaonan Yan is a leading researcher in agricultural robotics and precision farming, with a focus on computer vision and deep learning for autonomous crop management. Her work centers on developing robust navigation and crop row recognition algorithms that enable intelligent agricultural robots to operate effectively in complex field environments. Yan's major contributions include the creation of an improved YOLOv8s network for navigation line extraction in corn spraying robots, which has garnered 73 citations, and an enhanced UNet network for maize crop row recognition, cited 60 times. These algorithms significantly improve the accuracy and real-time performance of vision-based guidance systems, addressing critical challenges in automated weeding and spraying. Her research has been published in high-impact venues, demonstrating practical solutions for precision agriculture. Yan's work is notable for its direct application to reducing herbicide use and increasing farming efficiency, making her a key figure in the advancement of smart agriculture technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Maize crop row recognition algorithm based on improved UNet network60 citations · 2023
- 3Maize Crop Row Recognition Algorithm Based on Improved Unet Network3 citations · 2022
- 4