Papers
1
Total Citations
13
H-Index
1
About
Zheng Xiang is a researcher at the forefront of agricultural robotics and precision horticulture, with a focus on developing automated systems for orchard management. His key research areas include LiDAR-based 3D reconstruction, sensor fusion, and robotic perception in unstructured agricultural environments. Xiang’s major contribution is the design of an orchard mobile robot platform that integrates LiDAR odometry with inertial measurement units to generate accurate, real-time 3D models of fruit trees. This work directly addresses the challenge of canopy volume measurement—a critical metric for yield estimation and pruning decisions. His most cited paper, "Canopy Volume Measurement of Fruit Trees Using Robotic Platform Loaded LiDAR Data" (2021, 13 citations), demonstrates a novel algorithm that optimizes LiDAR odometry specifically for orchard conditions, overcoming issues like uneven terrain and dense foliage. By fusing LiDAR and inertial data, Xiang’s system achieves robust localization and high-fidelity tree reconstruction, enabling precise canopy volume calculations. His research bridges the gap between robotics and agronomy, offering scalable solutions for smart farming. With growing interest in automation for sustainable agriculture, Xiang’s work is paving the way for data-driven orchard management, making him a notable contributor to the field of agricultural robotics.
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Top Papers
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