Xiaorong Zhu

Southeast University, Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Xiaorong Zhu is a pioneering researcher in agricultural robotics, with a primary focus on machine vision and autonomous harvesting systems. Her work centers on developing intelligent recognition algorithms that enable robots to identify and pick cotton with precision, a critical challenge in agricultural automation. Zhu’s most influential contribution is her 2008 paper on machine vision-based cotton recognition for harvesting robots, which has garnered 27 citations. In this study, she proposed a novel method using color subtraction to differentiate cotton from its surroundings, providing essential parameters for manipulator motion and enabling accurate, automated picking. This foundational work laid the groundwork for subsequent advances in the field. Her 2012 exploration of object recognition inspired by the human visual system further refined these techniques, though with more limited impact. Zhu’s research has significantly advanced the practical application of robotics in agriculture, addressing key obstacles in real-time object detection and autonomous manipulation. Her contributions remain a reference point for scholars and engineers developing smart harvesting systems, highlighting her role in bridging computer vision and agricultural engineering.