Hoof lesions are widespread, primarily because they are often difficult to detect until they reach more advanced stages, at which point treatment is less effective. Newly developed and chronic cases typically stem from different causes, yet most detection methods fail to distinguish between them. Many farm workers also struggle to recognize early signs of lameness and lack access to tailored training and resources.
Researchers led by Dr. Gerard Cramer, a professor in the Department of Veterinary Population Medicine at the University of Minnesota College of Veterinary Medicine, are combining advanced data analysis of farm records, hoof health history and genetic information with autonomous cameras that use images and artificial intelligence to track cow movements. They seek to better understand the impact, causes and detection of lameness and develop metrics that allow farms to breed cows less prone to it. Additionally, they are developing training programs, including hoof care courses and support networks, to provide farmers with effective tools and knowledge for transforming lameness management on dairy farms.
With the U.S. dairy industry supporting more than 3.2 million jobs and contributing almost $800 billion to the nation’s economy, the industry is a driving economic force. Yet, lameness prevalence ranges from 13-55% in U.S. dairy herds, and lameness costs the global dairy industry approximately $6 billion annually.