Zoneamento bioclimatico para bovinos de corte no brasil com o auxilio de sistemas inteligentes

Abstract

A diversity of climate variable is necessary to establish the comfort level. Hence, the use of intelligent systems can assist to obtain a unique value that expresses the condition the animal is in. This paper develops a fuzzy system for obtaining a comfort index for zebu and elaborating bioclimatic zones for beef cattle. The model was developed under a MATLAB® 8.5 environment thru the fuzzy toolbox for predicting the thermic comfort index (ICTZ) from the entry variables: specific enthalpy (H, kJ.kgdry air -1 ) and wind speed (Vv, m.s-1 ). A 30-year history data from 156 stations with monthly average data was used. The ICTZ values obtained for each station were interpolated by ordinary kriging and then classified in four conditions: danger, alert, discomfort and comfort. The North region presented alert areas throughout the whole year. The entire country presented the discomfort condition except for winter. Therefore, the use of intelligent systems became a great tool for obtaining ICTZ and for elaborating bioclimatic zones.