Hyeon Tae Kim
Gyeongsang National University, Chungbuk National University
Papers
5
Total Citations
51
H-Index
3
About
Hyeon Tae Kim is at the forefront of agricultural robotics and digital farming, pioneering the integration of artificial intelligence and digital twin technologies to revolutionize livestock and crop production. His most impactful work, "From Reality to Virtuality: Revolutionizing Livestock Farming Through Digital Twins" (2024, 24 citations), addresses climate-driven food insecurity by proposing smart farming methodologies that enhance productivity and sustainability. Kim’s contributions to precision agriculture are further exemplified by his development of lightweight deep learning models for fruit detection. His paper "Lightweight Improved YOLOv5s-CGhostnet for Detection of Strawberry Maturity Levels and Counting" (2024, 15 citations) introduces an efficient algorithm for harvesting robots, enabling accurate, real-time strawberry identification. In "Peduncle Detection of Ripe Strawberry to Localize Picking Point Using DF-Mask R-CNN and Monocular Depth" (2025, 7 citations), he tackles the delicate task of robotic strawberry harvesting by precisely localizing picking points to avoid fruit damage. Earlier work includes modeling PID controllers for mobile robot driving systems (2016, 3 citations) and a case report on anesthetic management (2022, 2 citations). Kim’s research consistently bridges computational innovation with practical agricultural challenges, making him a key figure in the smart farming revolution.
Research Focus
Key Achievements
Top Papers
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