Written by:
Sydney Pearce and Cate Willis
In research funded in part by the Alliance, Meagan King, a former post-doctoral researcher in the Department of Animal Biosciences, and Dr. Trevor DeVries analyzed robotic milking system data from Ontario dairy farms to determine disease-indicating behaviours, such as declines in rumination behaviour and overall activity.
Read the full article in the Office of Research series on data science: Data Science: Promoting Early Disease Detection in Robotic Milking Systems [1]
