Yue Xu

Papers

Total Citations

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About

Yue Xu is a researcher specializing in agricultural robotics and computer vision, with a particular focus on automation technologies for precision harvesting applications. His work sits at the intersection of image processing and intelligent robotic systems, addressing practical challenges in modern agricultural automation. Xu's most notable contribution lies in developing innovative algorithms for fruit detection and robotic harvesting. His 2015 paper on contour symmetry axes extraction represents a significant methodological advance in solving one of the core challenges facing picking robots — accurately locating optimal harvest points on fruit. By leveraging moment of inertia principles and the natural symmetry of apples, Xu proposed an improved image processing pipeline that enhances the precision of picking point identification, a critical requirement for reliable robotic harvesting systems. This work has garnered 14 citations, reflecting its relevance to the growing community of researchers working on automated fruit harvesting solutions. His research addresses real-world agricultural needs, contributing to the development of smarter, more reliable harvesting robots capable of reducing labor demands in fruit production. For students and researchers exploring agricultural robotics, computer vision-based object localization, or precision automation in horticulture, Xu's methodological contributions offer a valuable foundation for understanding how geometric image analysis can be applied to solve practical harvesting challenges.