Papers
11
Total Citations
345
H-Index
8
About
Daeun Choi is a pioneering researcher in agricultural robotics, with a primary focus on automating labor-intensive horticultural tasks such as fruit tree pruning and mushroom harvesting. Working at the intersection of mechanical engineering, computer vision, and precision agriculture, Choi has made substantial contributions to reducing the industry's dependence on manual labor — a persistent challenge that drives up production costs globally. Choi's most influential work, a comprehensive review of robotic apple tree pruning technologies (98 citations), has become an essential reference in the field. Complementing this, the development of innovative end-effectors — including a 2R robotic pruner that achieved a strong correlation (R² = 0.93) between branch diameter and cutting force — demonstrates a rigorous, data-driven design philosophy. In parallel, Choi's research on mushroom harvesting robotics yielded a picking mechanism boasting a 91.4% success rate (69 and 33 citations), alongside computer vision systems for selective harvesting guidance. More recently, Choi has extended into digital twin methodology, applying sim-to-real transfer for strawberry detection and sizing, signaling a forward-looking embrace of simulation-driven agricultural innovation. Collectively, Choi's body of work, accumulating over 330 citations, represents meaningful progress toward fully autonomous, economically viable agricultural robotics systems.
Research Focus
Key Achievements
Top Papers
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- 4Development of a Robotic End-Effector for Apple Tree Pruning34 citations · 2020
- 5Development of a Robotic Harvesting Mechanism for Button Mushrooms33 citations · 2021
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- 9An Apple Tree Branch Pruning Analysis8 citations · 2022
- 10