Jinming Pan

Zhejiang University, Ministry of Agriculture and Rural Affairs

Papers

Total Citations

H-Index

About

Dr. Jinming Pan is a leading researcher in precision livestock farming, specializing in the application of deep learning and computer vision to poultry management. His work focuses on automating critical tasks in commercial egg production, including gender identification, health monitoring, and behavioral tracking. Dr. Pan’s most impactful contribution is the development of an improved ResNet-50 algorithm for identifying chicken gender, a study that has garnered 63 citations and offers a non-invasive, efficient alternative to traditional manual sexing. He further advanced farm automation with the StrongSort-EGG tracking-by-detection model, which enables real-time egg production monitoring in commercial laying cages (8 citations). Most recently, his DCDNet deep neural network (6 citations) provides a robust solution for detecting dead chickens in layer farms, enhancing animal welfare and operational efficiency. Through these innovations, Dr. Pan is driving the integration of artificial intelligence into poultry science, reducing labor costs and improving accuracy in large-scale farming operations. His work is essential reading for researchers and engineers seeking to modernize agricultural practices through intelligent monitoring systems.