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, Yanagi Junior,Tadayuki, Pires,Maria de Fátima Á., Mattioli,Cristiano C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000600001
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 setsConfinement systemsbovine facilitiesdesignstallsdairy cattleThe 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.Associação Brasileira de Engenharia Agrícola2013-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000600001Engenharia Agrícola v.33 n.6 2013reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/S0100-69162013000600001info:eu-repo/semantics/openAccessCampos,Alessandro T.Castro,Jaqueline de O.Schiassi,LeonardoYanagi Junior,TadayukiPires,Maria de Fátima Á.Mattioli,Cristiano C.eng2014-02-06T00:00:00Zoai:scielo:S0100-69162013000600001Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2014-02-06T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
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
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
Yanagi Junior,Tadayuki
Pires,Maria de Fátima Á.
Mattioli,Cristiano C.
author_role author
author2 Castro,Jaqueline de O.
Schiassi,Leonardo
Yanagi Junior,Tadayuki
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
Yanagi Junior,Tadayuki
Pires,Maria de Fátima Á.
Mattioli,Cristiano C.
dc.subject.por.fl_str_mv Confinement systems
bovine facilities
design
stalls
dairy cattle
topic Confinement systems
bovine facilities
design
stalls
dairy cattle
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 2013-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000600001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000600001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-69162013000600001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
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 v.33 n.6 2013
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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