A fuzzy system for cloacal temperature prediction of broiler chickens

Detalhes bibliográficos
Autor(a) principal: Ferreira,Leandro
Data de Publicação: 2012
Outros Autores: Yanagi Junior,Tadayuki, Lacerda,Wilian Soares, Rabelo,Giovanni Francisco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782012000100027
Resumo: Cloacal temperature (CT) of broiler chickens is an important parameter to classify its comfort status; therefore its prediction can be used as decision support to turn on acclimatization systems. The aim of this research was to develop and validate a system using the fuzzy set theory for CT prediction of broiler chickens. The fuzzy system was developed based on three input variables: air temperature (T), relative humidity (RH) and air velocity (V). The output variable was the CT. The fuzzy inference system was performed via Mamdani's method which consisted in 48 rules. The defuzzification was done using center of gravity method. The fuzzy system was developed using MAPLE® 8. Experimental results, used for validation, showed that the average standard deviation between simulated and measured values of CT was 0.13°C. The proposed fuzzy system was found to satisfactorily predict CT based on climatic variables. Thus, it could be used as a decision support system on broiler chicken growth.
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spelling A fuzzy system for cloacal temperature prediction of broiler chickensexpert systemfuzzy setsthermal environmentCloacal temperature (CT) of broiler chickens is an important parameter to classify its comfort status; therefore its prediction can be used as decision support to turn on acclimatization systems. The aim of this research was to develop and validate a system using the fuzzy set theory for CT prediction of broiler chickens. The fuzzy system was developed based on three input variables: air temperature (T), relative humidity (RH) and air velocity (V). The output variable was the CT. The fuzzy inference system was performed via Mamdani's method which consisted in 48 rules. The defuzzification was done using center of gravity method. The fuzzy system was developed using MAPLE® 8. Experimental results, used for validation, showed that the average standard deviation between simulated and measured values of CT was 0.13°C. The proposed fuzzy system was found to satisfactorily predict CT based on climatic variables. Thus, it could be used as a decision support system on broiler chicken growth.Universidade Federal de Santa Maria2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782012000100027Ciência Rural v.42 n.1 2012reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84782012000100027info:eu-repo/semantics/openAccessFerreira,LeandroYanagi Junior,TadayukiLacerda,Wilian SoaresRabelo,Giovanni Franciscoeng2012-03-28T00:00:00ZRevista
dc.title.none.fl_str_mv A fuzzy system for cloacal temperature prediction of broiler chickens
title A fuzzy system for cloacal temperature prediction of broiler chickens
spellingShingle A fuzzy system for cloacal temperature prediction of broiler chickens
Ferreira,Leandro
expert system
fuzzy sets
thermal environment
title_short A fuzzy system for cloacal temperature prediction of broiler chickens
title_full A fuzzy system for cloacal temperature prediction of broiler chickens
title_fullStr A fuzzy system for cloacal temperature prediction of broiler chickens
title_full_unstemmed A fuzzy system for cloacal temperature prediction of broiler chickens
title_sort A fuzzy system for cloacal temperature prediction of broiler chickens
author Ferreira,Leandro
author_facet Ferreira,Leandro
Yanagi Junior,Tadayuki
Lacerda,Wilian Soares
Rabelo,Giovanni Francisco
author_role author
author2 Yanagi Junior,Tadayuki
Lacerda,Wilian Soares
Rabelo,Giovanni Francisco
author2_role author
author
author
dc.contributor.author.fl_str_mv Ferreira,Leandro
Yanagi Junior,Tadayuki
Lacerda,Wilian Soares
Rabelo,Giovanni Francisco
dc.subject.por.fl_str_mv expert system
fuzzy sets
thermal environment
topic expert system
fuzzy sets
thermal environment
description Cloacal temperature (CT) of broiler chickens is an important parameter to classify its comfort status; therefore its prediction can be used as decision support to turn on acclimatization systems. The aim of this research was to develop and validate a system using the fuzzy set theory for CT prediction of broiler chickens. The fuzzy system was developed based on three input variables: air temperature (T), relative humidity (RH) and air velocity (V). The output variable was the CT. The fuzzy inference system was performed via Mamdani's method which consisted in 48 rules. The defuzzification was done using center of gravity method. The fuzzy system was developed using MAPLE® 8. Experimental results, used for validation, showed that the average standard deviation between simulated and measured values of CT was 0.13°C. The proposed fuzzy system was found to satisfactorily predict CT based on climatic variables. Thus, it could be used as a decision support system on broiler chicken growth.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
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=S0103-84782012000100027
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782012000100027
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84782012000100027
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.42 n.1 2012
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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