Xiurong Zhao

Papers

Total Citations

H-Index

About

Xiurong Zhao is a researcher specializing in agricultural automation and machine vision, with a particular focus on improving horticultural practices through intelligent systems. Her work addresses critical challenges in crop cultivation, notably in the development of a grading system for tomato grafting machines. This innovation leverages machine vision to enhance the precision and efficiency of grafting—a technique vital for reducing soil-borne diseases, overcoming cropping obstacles, and boosting both yield and fruit quality. By automating the assessment of grafting quality, Zhao’s research directly tackles the operator proficiency issues that can impact productivity and seedling survival rates. While her most-cited paper, "Grading system of tomato grafting machine based on machine vision" (2015), has garnered 9 citations, it represents a foundational contribution to precision agriculture. Zhao’s work bridges the gap between traditional horticultural expertise and modern engineering, offering practical solutions that increase the reliability of automated grafting systems. Her research holds significant promise for advancing sustainable farming practices, making her a key figure in the intersection of computer vision and agricultural technology.