Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets

Detalhes bibliográficos
Autor(a) principal: Campos, Alessandro T.
Data de Publicação: 2013
Outros Autores: Castro, Jaqueline de O., Schiassi, Leonardo, Junior, Tadayuki Yanagi, Pires, Maria de Fátima Á., Mattioli, Cristiano C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/11618
Resumo: The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns.
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spelling Prediction of free-stall occupancy rate in dairycattle barns through fuzzy setsPredição da taxa de ocupação de baias em instalações tipo freestall para bovinos de leite por meio dos conjuntos fuzzyConfinement systemsBovine facilitiesDesignStallsDairy cattleSistema de confinamentoInstalações para bovinosProjetoBaiasVacas leiteirasThe goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns.Objetivou-se com o presente trabalho desenvolver um modelo fuzzy para predizer a taxa de ocupação de baias em instalações para gado de leite do tipo free-stall, auxiliando na otimização do dimensionamento de projetos. Para o desenvolvimento do sistema fuzzy, foram definidas como variáveis de entrada: a temperatura de bulbo seco (Tbs, °C); temperatura de bulbo úmido (Tbu, °C), e temperatura de globo negro (Tgn,ºC). Com base nas variáveis de entrada, o sistema fuzzy prediz a taxa de ocupação (TO,%) de vacas leiteiras em instalações do tipo free-stall. Para a validação do modelo, coletas de dados foram realizadas nas instalações do Sistema Intensivo de Produção de Leite (SIPL), do Centro Nacional de Pesquisa de Gado de Leite (CNPGL) da Embrapa. Os valores de TO estimados pelo sistema fuzzy apresentaram valores de desvio-padrão médio de 3,93%, indicando baixo índice de erros na simulação. Os resultados simulados foram, estatisticamente, iguais aos medidos (P>0,05, Teste t). Após a validação do modelo proposto, a porcentagem de acerto médio para os dados simulados foi de 89,7%. Portanto, o sistema fuzzy, desenvolvido para a predição da taxa de ocupação de baias em instalação free-stall para bovinos leiteiros, possibilitou a predição realística da taxa de ocupação de baias, propiciando o planejamento e o projeto de instalações free-stallAssociação Brasileira de Engenharia Agrícola2016-08-15T20:26:51Z2016-08-15T20:26:51Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfCAMPOS, A. T. et al. Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets. Engenharia Agrícola, Jaboticabal, v. 33, n. 6, p. 1079-1089, Nov./Dec. 2013.http://repositorio.ufla.br/jspui/handle/1/11618Engenharia Agrícolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLACampos, Alessandro T.Castro, Jaqueline de O.Schiassi, LeonardoJunior, Tadayuki YanagiPires, Maria de Fátima Á.Mattioli, Cristiano C.info:eu-repo/semantics/openAccesseng2023-05-03T11:21:27Zoai:localhost:1/11618Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T11:21:27Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
Predição da taxa de ocupação de baias em instalações tipo freestall para bovinos de leite por meio dos conjuntos fuzzy
title Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
spellingShingle Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
Campos, Alessandro T.
Confinement systems
Bovine facilities
Design
Stalls
Dairy cattle
Sistema de confinamento
Instalações para bovinos
Projeto
Baias
Vacas leiteiras
title_short Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
title_full Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
title_fullStr Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
title_full_unstemmed Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
title_sort Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
author Campos, Alessandro T.
author_facet Campos, Alessandro T.
Castro, Jaqueline de O.
Schiassi, Leonardo
Junior, Tadayuki Yanagi
Pires, Maria de Fátima Á.
Mattioli, Cristiano C.
author_role author
author2 Castro, Jaqueline de O.
Schiassi, Leonardo
Junior, Tadayuki Yanagi
Pires, Maria de Fátima Á.
Mattioli, Cristiano C.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Campos, Alessandro T.
Castro, Jaqueline de O.
Schiassi, Leonardo
Junior, Tadayuki Yanagi
Pires, Maria de Fátima Á.
Mattioli, Cristiano C.
dc.subject.por.fl_str_mv Confinement systems
Bovine facilities
Design
Stalls
Dairy cattle
Sistema de confinamento
Instalações para bovinos
Projeto
Baias
Vacas leiteiras
topic Confinement systems
Bovine facilities
Design
Stalls
Dairy cattle
Sistema de confinamento
Instalações para bovinos
Projeto
Baias
Vacas leiteiras
description The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns.
publishDate 2013
dc.date.none.fl_str_mv 2013
2016-08-15T20:26:51Z
2016-08-15T20:26:51Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv CAMPOS, A. T. et al. Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets. Engenharia Agrícola, Jaboticabal, v. 33, n. 6, p. 1079-1089, Nov./Dec. 2013.
http://repositorio.ufla.br/jspui/handle/1/11618
identifier_str_mv CAMPOS, A. T. et al. Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets. Engenharia Agrícola, Jaboticabal, v. 33, n. 6, p. 1079-1089, Nov./Dec. 2013.
url http://repositorio.ufla.br/jspui/handle/1/11618
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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