Aplicação da lógica nebulosa na simulação de estro de vacas leiteiras
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Data
2009
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Resumo
The existing gap in the Brazilian dairy sector for both increase in
productivity, and decrease in production costs has induced producers to search for
new knowledge. In this way the relation between environmental factors and dairy
cattle physiological responses are of extreme importance during the production
process. If the climatic exposition may influence the dairy cows estrus cycle then any
information that improve the correct estrus identification is of great value, as it means
decrease in losses and increase in success in the process, and meaning significant
economical gain. This research as the development of a model using fuzzy logic for
estimating estrus presence. Information pertinent to totally confined Holstein dairy
cattle was used such as age interval, weight and pre-defined milk production. Input
variables used were the Temperature and Humidity Index (THI), period since last
estrus (PSLE) and the number of estrus signals (NES). As output variable there was
the estrus detection index (EDI). After this research it was concluded that it was possible the construction of a model based on fuzzy logic and using environmental
data, besides the specialist information that helps detecting estrus.
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Palavras-chave
Ambiência, Estro bovino, Lógica fuzzy, Environment, Bovine estrus, Fuzzy logic
Citação
SANTOS, Rodrigo Couto; NÃÃ, Irenilza de Alencar; MOREIRA, Fernando Ricardo; GOMES FILHO, Raimundo Rodrigues. Aplicação da lógica nebulosa na simulação de estro de vacas leiteiras. Enciclopédia biosfera, Goiânia, v. 5, n. 8, 2009.