Aqing Yang
Papers
1
Total Citations
5
H-Index
1
About
Dr. Aqing Yang is a pioneering researcher in precision livestock farming and agricultural robotics, with a focused expertise in automated animal monitoring and intelligent inspection systems. Their most impactful work introduces a groundbreaking lightweight model for automatic pig counting in intensive piggeries, integrating a green inspection robot with advanced image segmentation methods. This innovative approach replaces the traditional C2f module with the efficient Ghost module within the YOLOv8n-seg framework, dramatically reducing computational demands while maintaining high accuracy. Dr. Yang further enhances model performance by incorporating a spatial group enhancement attention mechanism and a lightweight shared detail enhancement convolutional detection head, enabling real-time, reliable counting in complex farm environments. With 5 citations already for this 2025 publication, their work is rapidly gaining recognition for addressing critical challenges in animal welfare monitoring and farm management efficiency. Dr. Yang’s contributions represent a significant leap toward fully automated, cost-effective livestock management systems, demonstrating how robotics and deep learning can transform traditional agriculture into a data-driven, sustainable industry.
Research Focus
Key Achievements
Top Papers
- 1