Predição de cio em vacas leiteiras utilizando lógica fuzzy.

Abstract

The present investigation aimed to develop an algorithm using the fuzzy sets to predict the estrous in dairy cows. For that three input variables were used: a) dairy cows’ behavior (mounting other cows, mucous discharge from the vulva, swelling and reddening of the vulva, frequent urine and restless); b) attempting to mount other cows e c) period since last oestrus and, as the output variable, the estrous detection rate was used. The analysis was made using the MATLAB 6.5 toolbox. The results showed that the fuzzy logic is a promising technology to predict the estrous detection in dairy cows, and could help the technician and cattle farmer in the decision making related to the insemination of the animals.