Computer Vision in Precision Livestock Farming Webinar Series - November Session
November 21, 2023 10:00AM - 11:00AM
Zoom
Contact: For information, contact Shelby Warner at warner80@msu.edu or 517-884-7076.
Precision livestock farming (PLF) consists of applying technology within the animal space for automated and real-time decision making at the individual animal level in livestock production. A low-cost, non-invasive technology that holds great promise for further advancing PLF is computer vision (CV). CV enables task automation by using computers to understand and extract important features of a physical system from digital images or videos.
Our group is developing a NIFA-Funded Coordinated Innovation Network to: 1) advance CV applications in PLF, 2) attract top talent from engineering, computer science and animal science to PLF, and 3) create a synergetic network of professionals working to solve pressing issues in PLF. To address these needs, we propose the following main objectives.
One of the activities that we are pursuing is this webinar series. The monthly webinars will include presentations on current topics in computer vision and its application to precision livestock farming. The webinars combine presentation and ‘unconference’ discussions to showcase diverse perspectives and evolving knowledge related to computer vision and precision livestock farming. Moreover, these webinars stimulate and create opportunities for discussion that will inform current and future research and provide learning opportunities for trainees.
NOVEMBER'S SPEAKER - Dr. Ilias Kyriazakis, Professor of Biological Sciences, Queen's University Belfast
Ilias Kyriazakis is the Professor of Animal and Veterinary Science at the Institute for Global Food Security of Queen’s University Belfast. He is a veterinarian by training who specialises in the effects of animal management on their performance, the ability to cope with challenges, such as pathogens, and their environmental impact. He has worked with a variety of animal species ranging from mice to cows, but more recently his research has focused on pigs and poultry. Since 2015 he has been using disruptive technologies to detect automatically changes in animal behaviour as means of early detection for health and welfare problems. To achieve this he collaborates closely with Computer Scientists and Electrical and electronic Engineers. Professor Kyriazakis is the recipient of several awards, including the Leroy Award by European Federation of Animal Sciences for International Excellence in Animal Science, and Fellow of national and International bodies.
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