Danqi Xu
Papers
1
Total Citations
3
H-Index
1
About
Danqi Xu is a researcher at the forefront of agricultural robotics and computer vision, with a specialized focus on 3D reconstruction and automated fruit recognition for precision harvesting. Her most cited work, "3D Reconstruction of Camellia Oleifera Fruit Recognition and Fruit Branch based on Kinect Camera" (2021), addresses a critical challenge in agricultural automation: enabling picking robots to accurately identify and locate mature camellia fruits in complex outdoor environments. By leveraging Kinect camera technology, Xu developed a vision system that reconstructs three-dimensional representations of fruit and branch structures, directly supporting the design of intelligent picking robots. This contribution is essential for advancing non-destructive harvesting techniques in specialty crops. Though her citation count is currently modest, Xu’s research lays foundational groundwork for integrating low-cost depth sensors into agricultural robotics, with potential applications in yield estimation and automated harvesting. Her work exemplifies the growing intersection of computer vision, robotics, and sustainable agriculture, offering practical solutions for labor-intensive crop collection.
Research Focus
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Top Papers
- 1