Study confirms facial recognition predicts diseases with stunning accuracy.

The use of facial recognition technology, artificial intelligence (AI), and GoPro cameras has been successful in predicting disease outbreaks in cattle. Animal agtech startup MyAnIML partnered with the United States Department of Agriculture (USDA) to study the technology’s ability to predict Infectious Bovine Keratoconjunctivitis (IBK), also known as bovine pinkeye. The study found that the technology accurately predicted the disease 99.4% of the time, several days before veterinarians could detect symptoms. This early detection allows producers to separate sick animals, control the spread of the disease, and use antibiotics judiciously before a large outbreak occurs. The study included 870 beef cattle on different Kansas ranches and aimed to manage the highly contagious disease that costs U.S. producers an estimated $150 million annually. The technology is now being used to predict Bovine Respiratory Disease (BRD), the most economically impactful cattle disease. Going forward, MyAnIML plans to expand its repertoire of diseases and health events to provide producers with new tools for managing cattle health and ensuring a safe food supply.