Qirong Zhang
Papers
2
Total Citations
16
H-Index
2
About
Qirong Zhang is a robotics and agricultural automation researcher whose work focuses on developing intelligent vision systems for fruit-picking robots operating in natural environments. His primary research areas include machine vision, color space analysis, and autonomous agricultural robotics. Zhang's major contributions center on improving the accuracy and reliability of fruit recognition systems, particularly for cherry harvesting. His most cited paper, "Cherry recognition in natural environment based on the vision of picking robot" (2017, 9 citations), introduced a novel approach using median filtering and color-based segmentation to enable robots to automatically identify cherries in complex, unstructured orchard settings. Building on this work, his second highly cited paper, "Visual recognition system of cherry picking robot based on Lab color model" (2017, 7 citations), advanced the field by employing the Lab color model to more effectively separate fruit from background foliage, and using least squares fitting for precise cherry contour detection. Together, these papers have accumulated 16 citations, establishing Zhang as a contributor to the growing field of precision agriculture and robotic harvesting, with practical implications for reducing labor costs and improving harvest efficiency.
Research Focus
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Top Papers
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