Yang Rongjian

Shanghai University of Engineering Science

Papers

Total Citations

H-Index

About

Yang Rongjian is a researcher focused on agricultural robotics and computer vision, with a particular emphasis on fruit recognition for automated harvesting systems. His most cited work, "Cherry Recognition Based on Color Channel Transform" (2019, 7 citations), addresses a critical challenge in precision agriculture: enabling cherry-picking robots to accurately identify ripe fruit under natural lighting conditions. By developing an innovative algorithm that converts RGB color channels into the M channel of CMYK mode using OpenCV image processing, Rongjian significantly improved segmentation accuracy for mature cherries. This contribution directly enhances the reliability of vision systems in agricultural robots, reducing misidentification and improving harvest efficiency. While his citation count reflects the specialized nature of his field, his work represents a practical step toward automating labor-intensive fruit picking, with potential applications in other fruit recognition tasks. Rongjian’s research bridges computer vision and robotics, offering tangible solutions for smart farming.