Moon Byung-Eun
Papers
1
Total Citations
7
H-Index
1
About
Dr. Moon Byung-Eun is a leading figure in agricultural robotics, with a focused expertise in computer vision and deep learning for precision harvesting. His most impactful work centers on the critical challenge of enabling robots to gently and accurately harvest delicate fruits, particularly strawberries. In his highly cited 2025 paper, Dr. Moon introduced a novel system using DF-Mask R-CNN combined with monocular depth estimation to detect the peduncle of ripe strawberries. This approach solves the fundamental problem of localizing the precise picking point, a task essential for avoiding bruising and damage during robotic grasping and cutting. With 7 citations in a short period, this work is already shaping the future of automated agriculture. Dr. Moon’s contributions are vital for developing non-destructive harvesting robots, directly addressing the labor-intensive and time-sensitive nature of fruit picking. His research stands at the intersection of advanced AI and practical agri-tech, promising to increase efficiency and reduce waste in modern farming.
Research Focus
Key Achievements
Top Papers
- 1