Park Kwang-Ho
Papers
1
Total Citations
15
H-Index
1
About
Park Kwang-Ho is a leading researcher in agricultural robotics and precision farming, with a particular focus on autonomous weed control systems for paddy fields. His most cited work, "Vision based guidance line extraction for autonomous weed control robot in paddy field" (2015, 15 citations), addresses a critical challenge in rice farming: enabling robots to navigate crop rows without damaging plants. Park developed a vision-based algorithm that accurately extracts guidance lines from images of rice rows, allowing robots to follow them precisely while deploying weed control mechanisms. This contribution is foundational for automating a labor-intensive task that directly impacts crop yield. His research integrates computer vision, robotics, and agronomy, demonstrating how intelligent systems can enhance agricultural efficiency and sustainability. Park’s work has been recognized for its practical applications in smart farming, and his guidance line extraction method remains a key reference for researchers developing autonomous field robots. By bridging the gap between machine vision and real-world farming constraints, Park Kwang-Ho continues to advance the frontier of precision agriculture, offering scalable solutions for modern food production challenges.
Research Focus
Key Achievements
Top Papers
- 1