MONTREAL — Artificial intelligence crunches medical data so well, it can reliably predict if someone will get pancreatic cancer three years before a typical diagnosis, according to recent amazing headlines. So why not put these machine minds to work predicting and preventing bovine diseases in dairy barns, too?
Researchers with McGill University and the Université du Québec à Montréal are striving to do exactly that with their ‘Animal Welfare and Artificial Intelligence’ (WELL-E) initiative. Work is already underway at two undisclosed pilot dairy farms, one in Eastern Ontario and one in Quebec, although they say this will “quickly” expand to a network of over 100 farms across both provinces.
WELL-E’s artificial intelligence will consume live camera video feeds and other electronic-sensor data from inside the barns, including pedometers (measuring movement) worn by the cattle. Modern dairy barns are loaded with internet-enabled devices, machinery and robots that create tons of data points. Historical production data collected by Lactanet will also go into the mix. In the end, the artificial mind will spot correlations that indicate looming cattle health problems long before a human could, allowing for early intervention and prevention.
Heading off lameness in cattle is an early focus of the research. “Using our methods, we hope to be able to identify minute changes in gait, allowing us to identify and treat problems before the onset of visible symptoms,” WELL-E research chair co-holder Professor Elsa Vasseur told Farmers Forum.