Yunhe Zhang

Beijing Academy of Agricultural and Forestry Sciences, Jilin University

Papers

Total Citations

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About

Yunhe Zhang is a researcher at the intersection of agricultural robotics and advanced materials, with key contributions in computer vision for precision agriculture and dielectric polymer composites for bionic applications. His most impactful work, "Tracking and Counting of Tomato at Different Growth Period Using an Improving YOLO-Deepsort Network for Inspection Robot" (2022, 76 citations), introduces a novel YOLO-Deepsort visual tracking network that integrates ShuffleNetV2 and CBAM attention mechanisms to enhance YOLOv5s. This system enables real-time identification and counting of tomatoes across growth stages, directly supporting yield prediction and automated monitoring in smart farming. Zhang’s innovation addresses critical challenges in agricultural robotics, offering a lightweight, efficient solution for inspection tasks. Additionally, his work on "Recent progress of dielectric polymer composites for bionics" (2022, 9 citations) explores flexible materials for biomimetic sensors and actuators, bridging soft robotics and materials science. By combining deep learning with practical agricultural needs, Zhang demonstrates a clear impact on sustainable farming technologies, while his materials research highlights versatility in bio-inspired engineering. His contributions are valuable for researchers developing intelligent robotic systems and advanced composites.