Wei Su
Papers
1
Total Citations
5
H-Index
1
About
Wei Su is a leading researcher in agricultural robotics and precision navigation, with a focus on developing intelligent perception systems for complex farming environments. His most impactful work centers on the application of deep learning to autonomous navigation in specialty crop cultivation, particularly within the challenging conditions of Panax notoginseng shade houses. Su’s landmark 2023 paper, “Navigation path extraction for inter-row robots in Panax notoginseng shade house based on Im-YOLOv5s,” introduces an improved YOLOv5s architecture that overcomes critical obstacles such as color similarity between crop rows and soil. This work has garnered 5 citations and is foundational for enabling reliable, real-time path extraction in visually ambiguous agricultural settings. Su’s contributions directly address the bottleneck of robust navigation in structured yet complex environments, advancing the practical deployment of autonomous robots for high-value crop management. His research is essential reading for engineers and scientists working at the intersection of computer vision, deep learning, and field robotics.
Research Focus
Key Achievements
Top Papers
- 1