Sang Hoon Han
Papers
2
Total Citations
115
H-Index
2
About
Sang Hoon Han is a leading researcher in agricultural robotics, with a primary focus on autonomous navigation systems for precision farming. His most impactful work centers on developing vision-based guidance algorithms for weeding robots operating in the challenging environment of paddy fields. Han’s major contribution is a morphology-based guidance line extraction method that leverages the unique structural characteristics of rice plants to enable accurate row detection, even in wet, muddy conditions. This foundational algorithm, detailed in his 2015 paper which has garnered 112 citations, addresses the critical challenge of real-time navigation for autonomous weeding, significantly improving the efficiency and precision of mechanical weed control. His earlier 2014 work further refined this approach by integrating infrared vision sensing to enhance robustness in low-visibility field conditions. By solving the core problem of reliable guidance line extraction, Han’s research has directly advanced the practical deployment of autonomous weeding robots, reducing reliance on herbicides and supporting sustainable agriculture. His work remains a key reference for engineers developing vision systems for agricultural robotics.
Research Focus
Key Achievements
Top Papers
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