Zhiyu Zuo
Papers
3
Total Citations
30
H-Index
2
About
Zhiyu Zuo is a rising innovator in agricultural robotics and precision agriculture, with a focused expertise in developing lightweight, real-time computer vision systems and specialized robotic end effectors for selective harvesting. His primary research addresses the critical challenge of automating broccoli harvesting in dense, complex field environments. Zuo’s major contribution is the introduction of LBDC-YOLO (Lightweight Broccoli Detection in Complex Environment—You Look Only Once), a high-precision, lightweight detection model designed for robotically selective harvesting. This work, published in 2024, has already garnered significant attention with 28 combined citations, demonstrating its immediate impact on the field. Building on this detection capability, Zuo further advanced the technology by designing and evaluating a novel actuated end effector tailored for dense planting conditions, directly tackling the limitations of large operational envelopes and poor adaptability. His work is pivotal in addressing agricultural labor shortages through commercialization-ready solutions, and his publications are already shaping the next generation of smart farming technologies.
Research Focus
Key Achievements
Top Papers
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