Welcome!
We are the Artificial Intelligence in Animal Omics Sciences (AIAOS) lab in Department of Animal Sciences at the University of Florida. Our primary research interest focuses on integrating high-dimensional heterogeneous -omics data to advance animal agriculture. One of our research topics is accommodating multi-omics data using machine learning, statistical modeling, and computational methods for genetic improvement in animals. Intrigued by precision livestock farming, we are also interested in applying computer vision to acquire high-throughput animal phenomics data (e.g., real-time activity) and using machine learning to incorporate the high-dimensional sensor data into our research.
News
02/03/2025
Zhou's new preprint systematically comparing 3D point cloud and depth image data for automated body condition score prediction is now available at arXiv!
01/03/2026
Our new preprint, led by Jin, which investiaged how transfer learning can improve image-based body weight prediction for small dairy farms is now on arXiv!
07/14/2025
Dr. Rodrigo Mezencio Godinho from Topigs Norsvin visited our lab and joined us for a group discussion.
07/09/2025
Dr. Yu presented the project led by Jin, "Transfer Learning for Improving Dairy Cattle Body Weight Prediction in Small Farms Using Depth Images and Point Cloud Data", at the 2025 American Society of Animal Science (ASAS) meeting.
06/05/2025
Yu's lab attended the 3rd US Conference on Precision Livestock Farming in Lincoln, NE. Angelo gave his first poster presentation at the conference.
05/01/2025
Welcome Zhou Tang to our lab! Zhou has joined as a postdoctoral scholar. His research focuses on using high-throughput phenotyping and remote sensing to support precision livestock farming.
04/03/2025
Dr. Jack Dekkers visited our lab and gave a seminar in the Department of Animal Sciences.
03/06/2025
Angelo's first PhD paper AnimalMotionViz: an interactive software tool for tracking and visualizing animal motion patterns using computer vision is now online at JDS Communications. Congrats, Angelo!
01/23/2025
Jin's new preprint assessing the impact of cross-validation designs on cattle behavior prediction using accelerometer data is now on bioRxiv!
10/22/2024
Our new preprint, led by Angelo, which introduces an interactive computer vision tool for tracking and visualizing animal motion patterns, is now on bioRxiv! Congratulations, Angelo!
