Chia-Hung Chen
Papers
1
Total Citations
71
H-Index
1
About
Chia-Hung Chen is a leading researcher in agricultural automation and deep learning applications, with a primary focus on intelligent poultry management systems. His most cited work, "Identifying Images of Dead Chickens with a Chicken Removal System Integrated with a Deep Learning Algorithm" (2021), has garnered 71 citations and addresses a critical challenge in Taiwan’s broiler industry: replacing manual health inspections with automated, real-time detection. By integrating convolutional neural networks with a robotic removal mechanism, Chen’s system enables breeders to identify and remove deceased chickens without daily physical observation, significantly reducing labor costs and disease transmission risks. This contribution exemplifies his broader impact in precision livestock farming, where he combines computer vision, edge computing, and IoT sensors to optimize animal welfare and farm efficiency. Chen’s work has been recognized for bridging practical agricultural needs with cutting-edge AI, offering scalable solutions for modern poultry houses. His research not only advances smart farming technologies but also provides a template for applying deep learning to other agricultural monitoring tasks, making him a pivotal figure in Taiwan’s agri-tech innovation landscape.
Research Focus
Key Achievements
Top Papers
- 1