Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , |
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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Engenharia Agrícola |
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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 |
_version_ |
1752126271533350912 |