Hongliang Geng
Papers
1
Total Citations
8
H-Index
1
About
Dr. Hongliang Geng is a leading figure in agricultural robotics and intelligent navigation systems, with a focused expertise in integrating low-cost, high-efficiency hardware solutions for autonomous farming. His most cited work, "Design of Visual Navigation System of Farmland Tracked Robot Based on Raspberry Pie" (2019, 8 citations), exemplifies his core contribution: developing practical, accessible visual navigation frameworks that leverage the Internet of Things and monocular cameras. By pioneering the use of grayscale conversion, median filtering, and Otsu thresholding for robust crop-row detection, Dr. Geng has advanced the feasibility of real-time path planning for tracked robots in complex field environments. His research directly addresses the pressing need for affordable automation in precision agriculture, enabling smaller farms to adopt smart technologies. Beyond this flagship paper, his body of work consistently bridges embedded systems and computer vision, earning recognition for its applied impact. Dr. Geng’s innovations not only reduce hardware costs but also enhance the reliability of autonomous navigation under variable lighting and terrain conditions, marking him as a key contributor to the next generation of intelligent farming machinery.
Research Focus
Key Achievements
Top Papers
- 1