Fundamental to mastitis control programs is the identification of pathogens in milk samples from cows with mastitis. However, laboratory culture has not been routinely used by dairies because of the turnaround time, cost, and inconvenience of submitting samples. Here, we will use machine learning to develop a computer vision-based system for timely and accurate on-farm pathogen identification.