Development of Algorithm Using Fuzzy Logic to Predict Estrus in Dairy Cows: Part I

Due to the importance of estrus detection on the reproductive performance this research aimed to develop an algorithm using fuzzy sets to predict the estrus in dairy cows. Three input variables were used: a) dairy cows’ behavior (mounting, genital mucous discharge, genital swelling, frequent urination, and restlessness); b) attempting to mount other cows, and c) time since last estrus. The output variable used was the estrus detection rate that is the percentage of correct estrus detection. The analysis was made using MATLAB® 6.5 fuzzy logic toolbox. The results showed that fuzzy logic is a promising way for predicting estrus in dairy cows, and it could help in decision making process related to insemination of the animals.