Guoming Li

Dr. Guoming Li has developed and utilized various machine and deep learning models to detect and evaluate animal behavior, welfare, body condition, phenotyping, health status, productivity, and environment. He has embedded these models into various precision agriculture tools (i.e., robotics, radio frequency identification system, computer vision system, sound recognition system, accelerometer, infrared thermography, and 3D sensing device) to support precision management in animal production. The animal species include poultry, swine, and cattle. His research also covered five major deep learning-based computer vision tasks, which are image classification, object detection, semantic/instance segmentation, keypoint/pose estimation, and tracking.