A study examining whether thermal images taken from cow udders during milking can be used to detect mastitis using AI produced promising results.
The consistent performance of the model to distinguish between healthy and mastitis-affected udders showed that it could reliably analyze new data without overfitting. These results indicate that thermal imaging combined with AI is a practical, non-invasive method for mastitis detection and may support better herd management and animal welfare.
Source: Animals, MDPI, March 30, 2026. Link.
Since subclinical mastitis accounts for the majority of mastitis cases and is more difficult to detect under field conditions, the ability of an Artificial Neural Network model to successfully differentiate multiple California Mastitis Test score categories underscores its potential for early detection and monitoring of mastitis in dairy herds.”
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