Papers
1
Total Citations
13
H-Index
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About
Yuesheng Fu is a leading researcher in precision agriculture and agricultural robotics, with a focus on developing intelligent systems for orchard management. His key research areas include LiDAR-based 3D modeling, robotic perception, and automated canopy measurement for fruit trees. Fu’s most notable contribution is his work on "Canopy Volume Measurement of Fruit Trees Using Robotic Platform Loaded LiDAR Data," which has garnered 13 citations. In this study, he designed an orchard mobile robot platform and developed a novel algorithm for reconstructing accurate fruit tree models. By optimizing LiDAR Odometry specifically for orchard environments and fusing it with Inertial Measurement Unit (IMU) data, Fu achieved robust, high-precision mapping under challenging field conditions. This work directly addresses the critical need for non-destructive, scalable canopy volume estimation, enabling more efficient pruning, spraying, and yield prediction. Fu’s research bridges the gap between robotics and agronomy, offering practical solutions for smart farming. His achievements highlight his expertise in sensor fusion and field robotics, making him a key contributor to the advancement of data-driven, automated agriculture.
Research Focus
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Top Papers
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