Shengpeng Xu
Papers
1
Total Citations
10
H-Index
1
About
Shengpeng Xu is a rising researcher in agricultural robotics and intelligent automation, with a focused interest in developing autonomous systems for precision agriculture. His most impactful work centers on the design and optimization of target detection and 3D localization models for intelligent muskmelon pollination robots, addressing a critical bottleneck in modern horticulture. As manual pollination becomes insufficient to meet the demands of expanding muskmelon cultivation, Xu’s research offers a transformative solution: creating robots capable of accurately identifying and locating flowers in three-dimensional space to perform automated pollination. This work directly tackles labor shortages while improving pollination efficiency and crop yield consistency. His 2025 publication on this topic has already garnered 10 citations, signaling early recognition of its practical significance. By integrating computer vision, deep learning, and robotic manipulation, Xu is contributing to the next generation of smart farming technologies. His research holds promise not only for muskmelon production but also for broader applications in precision agriculture, where autonomous systems can reduce human labor and enhance sustainability.
Research Focus
Key Achievements
Top Papers
- 1