Jinming Yin
Papers
1
Total Citations
9
H-Index
1
About
Jinming Yin is a researcher at the forefront of precision livestock farming and computer vision, with a primary focus on developing intelligent monitoring systems for dairy cattle health and behavior. His most cited work, "Calibration and location analysis of a heterogeneous binocular stereo vision system" (2021, 9 citations), introduces a novel approach to constructing and calibrating a heterogeneous binocular stereo vision (HBSV) system designed for patrol inspection robots in dairy farming. This system simultaneously captures temperature, color, and spatial location data of dairy cows, enabling real-time health monitoring and detection of abnormal behaviors. Yin’s major contribution lies in advancing the integration of heterogeneous imaging sensors—combining thermal and visible spectrum cameras—to create a robust, multi-modal perception platform for automated livestock management. By solving the calibration challenges inherent in such systems, his work has laid the groundwork for non-invasive, continuous health surveillance in commercial dairy operations. With applications spanning animal welfare, precision agriculture, and robotics, Yin’s research is instrumental in transforming traditional farming into a data-driven, technology-enabled industry, offering practical solutions for early disease detection and improved herd management.
Research Focus
Key Achievements
Top Papers
- 1