How artificial intelligence is useful to cattle producers
Researchers at the University of Wyoming are using artificial intelligence to study and predict risk factors for congestive heart failure in cattle. The AI model, developed by Chase Markel, can analyze images of cattle hearts and predict the risk of congestive heart failure with over 90% accuracy.
The University of Wyoming's Chase Markel has developed an AI model to predict the risk of congestive heart failure in cattle. The model uses computer vision to analyze images of cattle hearts. Markel collected over 7,200 images of hearts and trained the model to characterize them. The model is over 90% accurate in predicting the risk of congestive heart failure. This technology can help cattle producers improve the health and efficiency of their herds. The research focused on 'brisket disease' and Bovine Congestive Heart Failure (BCHF) in fat cattle.
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