A fuzzy system for rectal 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: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/43112
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 rectal temperature prediction of broiler chickensSistema fuzzy para a predição da temperatura cloacal de frangos de corteExpert systemFuzzy setsThermal environmentTemperatura cloacalSistema especialistaConjuntos fuzzyAmbiente térmicoCloacal temperatureCloacal 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.A temperatura cloacal (TC) de frangos de corte é um importante parâmetro para classificar a sua condição de conforto, portanto, a sua predição pode ser usada no suporte à decisão de acionamento de sistemas de climatização. Objetivou-se com a presente pesquisa desenvolver e validar um sistema, utilizando a teoria dos conjuntos fuzzy para predição da TC de frangos de corte. O sistema fuzzy foi desenvolvido com base em três variáveis de entrada: temperatura do ar (T), umidade relativa (UR) e velocidade do ar (V), tendo, como variável de saída, a TC. A inferência fuzzy foi realizada por meio do método tipo Mamdani, que consistiu na elaboração de 48 regras e a defuzzificação por meio do método do Centro de Gravidade. O sistema fuzzy foi desenvolvido no ambiente computacional MAPLE® 8. Resultados experimentais, usados para a validação, mostraram que o desvio padrão médio entre os valores simulados e medidos de TC foi de 0,13°C. O sistema fuzzy proposto prediz satisfatoriamente a TC com base nas variáveis climáticas, podendo ser utilizado como suporte à decisão em sistemas de criação de frangos de corte.Universidade Federal de Santa Maria (UFSM)2020-09-17T01:25:39Z2020-09-17T01:25:39Z2012-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFERREIRA, L. et al. A fuzzy system for rectal temperature prediction of broiler chickens. Ciência Rural, Santa Maria, v. 42, n. 1, p. 166-171, Jan. 2012. DOI: 10.1590/S0103-84782012000100027.http://repositorio.ufla.br/jspui/handle/1/43112Ciência Ruralreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessFerreira, LeandroYanagi Junior, TadayukiLacerda, Wilian SoaresRabelo, Giovanni Franciscoeng2023-05-03T13:08:46Zoai:localhost:1/43112Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T13:08:46Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv A fuzzy system for rectal temperature prediction of broiler chickens
Sistema fuzzy para a predição da temperatura cloacal de frangos de corte
title A fuzzy system for rectal temperature prediction of broiler chickens
spellingShingle A fuzzy system for rectal temperature prediction of broiler chickens
Ferreira, Leandro
Expert system
Fuzzy sets
Thermal environment
Temperatura cloacal
Sistema especialista
Conjuntos fuzzy
Ambiente térmico
Cloacal temperature
title_short A fuzzy system for rectal temperature prediction of broiler chickens
title_full A fuzzy system for rectal temperature prediction of broiler chickens
title_fullStr A fuzzy system for rectal temperature prediction of broiler chickens
title_full_unstemmed A fuzzy system for rectal temperature prediction of broiler chickens
title_sort A fuzzy system for rectal 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
Temperatura cloacal
Sistema especialista
Conjuntos fuzzy
Ambiente térmico
Cloacal temperature
topic Expert system
Fuzzy sets
Thermal environment
Temperatura cloacal
Sistema especialista
Conjuntos fuzzy
Ambiente térmico
Cloacal temperature
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
2020-09-17T01:25:39Z
2020-09-17T01:25:39Z
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 FERREIRA, L. et al. A fuzzy system for rectal temperature prediction of broiler chickens. Ciência Rural, Santa Maria, v. 42, n. 1, p. 166-171, Jan. 2012. DOI: 10.1590/S0103-84782012000100027.
http://repositorio.ufla.br/jspui/handle/1/43112
identifier_str_mv FERREIRA, L. et al. A fuzzy system for rectal temperature prediction of broiler chickens. Ciência Rural, Santa Maria, v. 42, n. 1, p. 166-171, Jan. 2012. DOI: 10.1590/S0103-84782012000100027.
url http://repositorio.ufla.br/jspui/handle/1/43112
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria (UFSM)
publisher.none.fl_str_mv Universidade Federal de Santa Maria (UFSM)
dc.source.none.fl_str_mv Ciência Rural
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
_version_ 1823242124700680192

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