Luzhen Ge
Papers
7
Total Citations
173
H-Index
7
About
Luzhen Ge is pioneering the automation of agriculture through intelligent robotics and machine vision, with a focus on replacing labor-intensive manual tasks in farming and harvesting. Her research spans autonomous navigation, plant detection, and robotic manipulation, addressing critical challenges in rubber tapping, fruit counting, and weed control. Ge’s most cited work, “A Rubber-Tapping Robot Forest Navigation and Information Collection System Based on 2D LiDAR and a Gyroscope” (57 citations), introduces a novel solution for autonomous navigation in rubber plantations, a sector sorely in need of intelligent tapping devices. She further advances precision agriculture with “A Method for Organs Classification and Fruit Counting on Pomegranate Trees” (35 citations), using 3D point clouds and support vector machines, and “Review of Machine-Vision-Based Plant Detection Technologies for Robotic Weeding” (27 citations), which surveys key technologies for sustainable herbicide reduction. Her contributions extend to underwater robotics with a study on sea cucumber locating (15 citations) and to crop recognition with the unified UniStemNet model (10 citations). Ge’s work is driving a transformative shift toward efficient, eco-friendly agricultural robotics, with cumulative citations exceeding 170, marking her as a rising leader in agri-robotics innovation.
Research Focus
Key Achievements
Top Papers
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