Computer Vision in Precision Livestock Farming Webinar Series - October Session
October 17, 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.
OCTOBER'S SPEAKER - Jan Lessen, PhD.
Jan Lassen is a Senior Project Manager at VikingGenetics and an Adjunct Professor at Aarhus University, Denmark. Jan works mainly on generating data for two traits for genetic evaluation in dairy cattle: Methane emission and feed efficiency. For feed efficiency he has been part of a team that has developed a 3D camera system to predict daily feed intake in commercial farms. This involves using 3D image for identification, feed intake prediction and body weight. The system is currently installed in 25 herd across. At the presentation Jan will go through various algorithms, validation of the system and application of the data for genetic evaluation and daily on farm management.
Print
Email