Zhongyi Yi

Jiangsu Academy of Agricultural Sciences

Papers

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About

Zhongyi Yi is a leading researcher in intelligent agricultural robotics, with a primary focus on autonomous navigation systems for complex greenhouse environments. His most influential work, "Autonomous Navigation System of Greenhouse Mobile Robot Based on 3D Lidar and 2D Lidar SLAM" (2022, 74 citations), addresses a critical bottleneck in smart agriculture: achieving precise robot positioning and mapping within the cluttered, narrow, and dynamic conditions of greenhouses. By integrating 3D and 2D LiDAR sensors with SLAM (Simultaneous Localization and Mapping) technology, Yi developed a robust navigation framework that enables mobile robots to operate autonomously without GPS, overcoming challenges like variable lighting and dense crop canopies. This contribution has been widely cited by researchers advancing precision agriculture, as it provides a practical, high-accuracy solution for tasks such as automated harvesting, spraying, and monitoring. Yi’s work bridges the gap between theoretical SLAM algorithms and real-world agricultural deployment, making him a key figure in the field of intelligent robotics for controlled-environment farming. His research continues to influence the design of cost-effective, reliable navigation systems for next-generation agricultural robots.