Yuqin Deng

South China Agricultural University, Chinese Academy of Sciences

Papers

Total Citations

120

H-Index

About

Yuqin Deng is a researcher working at the intersection of agricultural robotics, computer vision, and bioelectronics. Their most prominent contribution lies in advancing precision agriculture through intelligent perception systems — particularly the development of geometry-aware 3D point cloud learning frameworks for automated harvesting robots. Their 2025 work on cutting-point detection in unstructured field environments, which has already amassed an impressive 90 citations, addresses one of the most technically demanding challenges in agricultural automation: enabling robots to accurately identify precise cutting locations on lychee branches amid complex, cluttered natural scenes. This research represents a significant leap toward reliable, damage-free robotic harvesting in real-world agricultural settings. Beyond robotics, Deng has also made notable contributions to the emerging field of plant bioelectronics. Their 2023 work on liquid metal-enabled injectable electronics for plants — garnering 30 citations — opens exciting possibilities for real-time plant health monitoring and precision agricultural sensing at the biological level. With a diverse portfolio spanning 3D deep learning, robotic perception, and soft electronics, Yuqin Deng is establishing themselves as an innovative voice bridging fundamental technology development with urgent challenges in sustainable food production and smart agriculture.