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This study explores the use of precision technologies and machine learning to detect bovine respiratory disease (BRD) in dairy calves. Wearable sensors and automatic feeders were used to closely monitor the calves’ behavior, and machine learning was used to interpret the data and provide clues to calf health problems. This novel approach offers dairy producers an opportunity to detect animal health problems earlier and intervene, saving the calves and the investment they represent.