Non-invasive measure of heat stress in sheep using machine learning techniques and infrared thermography

•IRT and machine learning techniques provide new opportunities to non-invasively measure heat stress in sheep.•IRT temperatures of forehead, eye and nostril regions were highly correlated with THI and rectal temperature.•Artificial neural network model developed applying Bayesian regularization algorithm showed highest accuracy and performance for predicting rectal temperature using IRT.