Yizhi Luo
Papers
1
Total Citations
5
H-Index
1
About
Yizhi Luo is a researcher at the forefront of agricultural robotics and computer vision, with a primary focus on developing lightweight, deployable AI models for precision livestock farming. Luo’s most cited work introduces a novel system for automatic pig counting in intensive piggeries, leveraging a green inspection robot and advanced image segmentation. The key contribution lies in optimizing the YOLOv8n-seg framework by replacing the computationally heavy C2f module with the efficient Ghost module in the backbone network, significantly reducing model size without sacrificing accuracy. To further enhance performance in complex barn environments, Luo incorporated a spatial group enhancement attention mechanism and a lightweight shared detail enhancement convolutional detection head. This work directly addresses the practical challenge of real-time, on-device animal monitoring in resource-constrained agricultural settings. With 5 citations since its 2025 publication, Luo’s research demonstrates immediate impact, offering a scalable solution that balances detection precision with operational efficiency. This achievement positions Luo as an emerging innovator in sustainable smart farming technologies.
Research Focus
Key Achievements
Top Papers
- 1