Hyun Kwon Suh
Papers
3
Total Citations
79
H-Index
3
About
Hyun Kwon Suh is a leading researcher in agricultural robotics and precision agriculture, with a focus on computer vision and autonomous navigation for field and orchard environments. His work addresses critical challenges in weed control and crop management, particularly through advanced vegetation segmentation techniques. Suh’s most influential paper, “Improved vegetation segmentation with ground shadow removal using an HDR camera” (2017, 49 citations), introduced a robust method for vision-based weed control robots, overcoming the common problem of shadow interference in agricultural fields. He further refined these techniques in his 2020 study on colour indices and threshold methods for volunteer potato control in sugar beet (21 citations), demonstrating practical applications for reducing herbicide use. In autonomous navigation, Suh developed an orchard robot capable of in-row navigation using 2D LIDAR and particle filters (2018, 9 citations), addressing safety and labor challenges in mountainous orchards. His contributions have advanced the reliability of agricultural robots, enabling more precise and efficient crop management. With a growing citation impact, Suh’s research continues to influence the development of intelligent farming systems, making him a key figure in the integration of robotics and agriculture.
Research Focus
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Top Papers
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