Investigation of Disease Detection Methods for Dairy Cows Using Hidden Markov Models

Abstract

In the dairy farming sector, health status of dairy cows significantly affects milk productivity. Early detection and appropriate response to diseases are essential for ensuring stable productivity. In this study, we investigate a method to detect diseases by extracting the activity levels of cows, which have been confirmed to be related to cow diseases, through image processing and analyzing their temporal changes using a Hidden Markov Model.