Ren YongXin

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About

Dr. Ren YongXin is a pioneering researcher in agricultural robotics, with a primary focus on intelligent harvesting systems for greenhouse and orchard environments. His work centers on computer vision and machine learning for crop recognition, robotic arm optimization, and autonomous navigation. Dr. Ren’s most influential contribution is his 2007 study on recognizing greenhouse cucumber fruit using computer vision, which has garnered 30 citations. In this work, he developed a three-layer backpropagation neural network that segments cucumber plant images by extracting blue and saturation color components, enabling a robotic picking system to accurately identify fruit. He further advanced this field with research on information acquisition for cucumber harvesting robots (2009, 9 citations) and visual navigation using fuzzy control (2009, 3 citations). Dr. Ren also contributed to orchard automation through the optimization design and simulation of an apple-picking robot arm (2009, 3 citations), where he minimized structural parameters while maximizing harvesting space. His integrated approach—combining neural networks, fuzzy logic, and kinematic analysis—has laid essential groundwork for practical, vision-guided harvesting robots, making him a notable figure in precision agriculture and agricultural robotics.