Computer Vision in Precision Livestock Farming Webinar Series
Third Tuesday of each month, March through December 2024
10-11 a.m. ET
Online via Zoom
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.
Dates: March 19, April 16, May 21, June 18, July 16, August 20, September 17, October 15, November 19, December 17
Cost: FREE
Recordings will be available once processed on the series' website.
Registration for Computer Vision in Precision Livestock Farming Webinar Series is open.
Registration closes at 11:59 p.m. ET on December 17, 2024.
Accommodations
Michigan State University is committed to providing equal opportunity for participation in all programs, services and activities. Accommodations for persons with disabilities may be requested by contacting the event contact two weeks prior to the start of the event. Requests received after this date will be honored whenever possible.