Hung‐Wei Liu
Papers
1
Total Citations
71
H-Index
1
About
Hung-Wei Liu is a leading researcher in agricultural automation and intelligent poultry management, with a focus on integrating deep learning into livestock health monitoring. His most cited work, “Identifying Images of Dead Chickens with a Chicken Removal System Integrated with a Deep Learning Algorithm” (2021, 71 citations), addresses a critical challenge in Taiwan’s broiler industry—the need for timely, automated detection of deceased birds. Traditionally, breeders rely on manual daily inspections to assess flock health, a labor-intensive and error-prone process. Liu’s contribution lies in developing a deep learning–based vision system that autonomously identifies dead chickens and triggers their removal, significantly improving farm hygiene, reducing disease spread, and lowering labor demands. This work exemplifies his broader research agenda: applying computer vision and AI to enhance animal welfare and operational efficiency in poultry houses. By bridging the gap between traditional husbandry and modern data-driven solutions, Liu has established himself as a key innovator in precision livestock farming. His research not only advances Taiwanese agricultural practices but also offers scalable models for global poultry management systems.
Research Focus
Key Achievements
Top Papers
- 1