Luhua Han
Papers
5
Total Citations
120
H-Index
5
About
Luhua Han is a prominent researcher in agricultural robotics and precision automation, with a focus on greenhouse transplanting systems and computer vision-based crop detection. Han's most significant contributions lie in developing innovative robotic solutions for seedling transplantation, addressing one of horticulture's most labor-intensive challenges. Their landmark 2018 work on a multi-task robotic transplanting workcell — which has garnered 52 citations — demonstrated a fully integrated system capable of automating the complex process of greenhouse seedling handling, combining conveyors, filling units, and multi-gripper transplanting mechanisms. Building on this foundation, Han designed a multi-pin flexible pick-up gripper in 2019 (28 citations) that minimizes plant damage during automated transplanting, showcasing a careful balance between mechanical precision and biological sensitivity. More recently, Han has expanded into deep learning applications for field robotics, developing the LBDC-YOLO model for lightweight, high-accuracy broccoli head detection in complex outdoor environments — work that has already attracted nearly 30 citations across two publications since 2024. Collectively, Han's research bridges mechanical engineering, control systems, and machine vision to advance the automation of food production, making meaningful contributions toward addressing global agricultural labor shortages.
Research Focus
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