Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/32168
Título: Zoneamento bioclimatico para bovinos de corte no brasil com o auxilio de sistemas inteligentes
Título(s) alternativo(s): Bioclimatic zoning for beef cattle in Brazil with the aid of intelligent systems
Palavras-chave: Bovinocultura
Ambiência
Modelagem fuzzy
Conforto térmico
Bos indicus
Cattle breeding
Ambience
Fuzzy modeling
Thermal comfort
Data do documento: 2016
Editor: Center for Applied Animal Biometeorology
Citação: TAVARES, G. F. et al. Zoneamento bioclimatico para bovinos de corte no brasil com o auxilio de sistemas inteligentes. Journal of Animal Behaviour and Biometeorology, [S.l.], v. 4, n. 4, p. 116-123, 2016.
Resumo: 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.
URI: https://www.jabbnet.com/notcias-1-c10ot/iu1rrcdn29/Bioclimatic-zoning-for-beef-cattle-in-Brazil-with-the-aid-of-intelligent-systems
http://repositorio.ufla.br/jspui/handle/1/32168
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