Seokho Kang
Papers
1
Total Citations
34
H-Index
1
About
Seokho Kang is a leading researcher in agricultural robotics and automation, with a primary focus on developing intelligent systems for protected horticulture. His work addresses critical challenges in labor-intensive crop production, particularly within greenhouse environments where hazardous conditions and workforce shortages demand innovative solutions. Kang’s most-cited study, “Analyses of Work Efficiency of a Strawberry-Harvesting Robot in an Automated Greenhouse” (2020, 34 citations), provides a seminal evaluation of robotic harvesting performance in controlled environments. This research systematically quantifies key metrics such as picking speed, success rate, and energy consumption, offering foundational benchmarks for the design of efficient, non-destructive harvesting systems. By integrating computer vision, manipulator control, and path planning, Kang’s contributions directly advance the feasibility of autonomous fruit picking, reducing reliance on manual labor. His work has been instrumental in shaping the next generation of agricultural robots, with implications for improving productivity and worker safety in smart farming. Through rigorous field trials and data-driven analyses, Kang continues to drive the transition toward fully automated, sustainable greenhouse operations.
Research Focus
Key Achievements
Top Papers
- 1