Changpeng Qiu
Papers
2
Total Citations
8
H-Index
2
About
Changpeng Qiu is a researcher advancing intelligent agricultural robotics, with a focus on automated fruit tree pruning. His work bridges computer vision and machine learning to enable pruning robots to make independent, expert-level decisions—reducing reliance on manual labor. In his 2019 paper “Research on a method of fruit tree pruning based on BP neural network” (5 citations), Qiu developed a neural network approach that allows robots to autonomously generate pruning schemes from collected images, significantly improving operational intelligence. Complementing this, his “Research on 3D skeletal model extraction algorithm of branch based on SR4000” (3 citations) introduces a method for constructing accurate 3D skeletal models of apple tree branches using SR4000 depth sensors. This innovation provides the visual recognition backbone for pruning robots, enabling precise branch identification and manipulation. Though early in his citation impact, Qiu’s contributions are foundational to the emerging field of smart orchard management. His work demonstrates a practical pathway toward fully autonomous pruning systems, with potential to transform labor-intensive agricultural practices and improve efficiency in fruit production.
Research Focus
Key Achievements
Top Papers
- 1Research on a method of fruit tree pruning based on BP neural network5 citations · 2019
- 2