Xiuguo Zou
Papers
3
Total Citations
18
H-Index
2
About
Xiuguo Zou is an emerging researcher at the intersection of precision livestock farming, computer vision, and artificial intelligence, with a particular focus on applying deep learning technologies to poultry production systems. His work addresses some of the most pressing challenges in modern large-scale broiler and layer chicken operations, where traditional manual monitoring methods struggle to meet the demands of efficiency, animal welfare, and real-time responsiveness. Zou's most notable contributions include the development of an automated identification and grasping device for detecting dead broilers in flat houses, which has already garnered 11 citations since its 2024 publication — a strong indicator of its relevance to the field. He has also pioneered digital twin implementation for monitoring beak deformities in caged layer chickens, bridging the gap between physical farm environments and digital management systems. His more recent DualHet-YOLO network demonstrates sophisticated architectural innovation for behavioral recognition in free-range poultry settings. Collectively, Zou's research signals a commitment to transforming poultry farming through intelligent automation, reducing reliance on human experience while improving animal health outcomes and operational scalability. His work is particularly valuable for students exploring AI-driven agricultural robotics and smart livestock management.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3