Jin-ho Won
Papers
1
Total Citations
2
H-Index
1
About
Jin-ho Won is a researcher at the forefront of precision agriculture, specializing in robotic systems and intelligent control for sustainable farming. His primary research areas include LiDAR-based perception, spray optimization algorithms, and autonomous orchard robotics. Won’s major contribution lies in the development of a high-efficiency spray control algorithm that leverages Gaussian filtering and LiDAR data to enable orchard speed-sprayers to adjust pesticide output in real time. This work directly addresses critical environmental and health issues by reducing excessive chemical runoff and minimizing farmers’ exposure to harmful residues. Although his most cited paper has garnered 2 citations to date, its practical significance is notable: it offers a scalable, data-driven solution to one of agriculture’s most persistent pollution and safety challenges. By integrating sensor fusion with adaptive control, Won’s research paves the way for smarter, safer, and more eco-friendly farming practices. His work represents a vital step toward the digital transformation of orchard management, where precision and automation converge to protect both crops and cultivators.
Research Focus
Key Achievements
Top Papers
- 1