Jianwei Qin

Beltsville Agricultural Research Center, Dalian Maritime University

Papers

Total Citations

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About

Jianwei Qin is a researcher at the forefront of agricultural robotics and rehabilitation engineering, with a primary focus on machine vision for automated fruit detection and assistive robotic systems. His most impactful work, "Automatic recognition of juicy peaches on trees based on 3D contour features and colour data" (2019), has garnered 34 citations, demonstrating its significance in addressing the critical challenge of accurate fruit detection amidst occlusions from branches and leaves—a key bottleneck for developing autonomous harvesting robots. Building on this, his 2020 study on "Automatic sweet pepper detection based on point cloud images using subtractive clustering" further advances 3D sensing techniques for robust fruit identification in complex canopy environments. Beyond agriculture, Qin has contributed to medical robotics with his 2014 work on a "3 DOF upper limb rehabilitation robot-assisted training system," which integrates virtual reality to aid stroke patients in recovering shoulder movements. This interdisciplinary approach—bridging precision agriculture and rehabilitation technology—highlights his versatility in applying computer vision and robotics to solve real-world problems. With a growing citation record, Qin’s research continues to influence the development of intelligent systems for both food production and healthcare.