Papers
5
Total Citations
59
H-Index
4
About
Xiangyu Song’s research sits at the intersection of precision livestock farming and advanced materials engineering, with a primary focus on dairy cow health monitoring. His most impactful work introduces a groundbreaking 3-dimensional vision system to automatically assess reticulo-ruminal motility in dairy cows—a critical indicator of gastrointestinal health. This innovation, detailed in his highly cited 2019 paper (41 citations), replaces labor-intensive, costly traditional methods with a practical, automated solution suitable for routine farm use. Song further demonstrated the system’s value in a longitudinal study (2022, 5 citations), linking automated rumen function assessments to feed changes and milk production, thereby offering farmers actionable insights for herd management. Earlier, he contributed to automatic detection of clinical mastitis in robotic milking systems (2010, 6 citations). Beyond animal science, Song explores novel materials for dielectric elastomer actuators, developing sodium alginate composite films with oxidized MWCNTs (2024, 5 citations) and SEBS elastomers with barium titanate nanoparticles (2025, 2 citations) for applications in bionic robotics and wearable electronics. His cross-disciplinary work—combining computer vision, animal health, and materials science—showcases a unique ability to solve practical agricultural challenges through technological innovation.
Research Focus
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