Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens

Detalhes bibliográficos
Autor(a) principal: Lins, Ana C. de S. S.
Data de Publicação: 2021
Outros Autores: Lourençoni, Dian, Yanagi Júnior, Tadayuki, Miranda, Isadora B., Santos, Italo E. dos A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/50302
Resumo: Considering the challenges faced by poultry farming, this study aimed to develop a neuro-fuzzy model to predict eyeball and crest temperatures of egg-laying hens based on environmental conditions (dry bulb temperature and relative humidity). To develop the models and simulations, Matlab’s Fuzzy Toolbox® (Anfisedit) was used. Different configurations were used for each of the several neuro-fuzzy models developed. Eyeball temperature (ET) and chicken crest temperature (CCT) were simulated from the developed neuro-fuzzy models, and the obtained results were validated with the variables collected experimentally with the aid of recorder sensors and an infrared thermographic camera. The proposed neuro-fuzzy models allow the accurate estimation of ET and CCT of two lineages of egg-laying hens raised in conventional aviaries, thus helping in decision-making for better animal welfare.
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spelling Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hensNeuro-fuzzyThermographyPoultry farmingSimulationArtificial intelligenceConsidering the challenges faced by poultry farming, this study aimed to develop a neuro-fuzzy model to predict eyeball and crest temperatures of egg-laying hens based on environmental conditions (dry bulb temperature and relative humidity). To develop the models and simulations, Matlab’s Fuzzy Toolbox® (Anfisedit) was used. Different configurations were used for each of the several neuro-fuzzy models developed. Eyeball temperature (ET) and chicken crest temperature (CCT) were simulated from the developed neuro-fuzzy models, and the obtained results were validated with the variables collected experimentally with the aid of recorder sensors and an infrared thermographic camera. The proposed neuro-fuzzy models allow the accurate estimation of ET and CCT of two lineages of egg-laying hens raised in conventional aviaries, thus helping in decision-making for better animal welfare.Associação Brasileira de Engenharia Agrícola (SBEA)2022-06-22T17:07:13Z2022-06-22T17:07:13Z2021-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLINS, A. C. de S. S. et al. Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens. Engenharia Agrícola, Jaboticabal, v. 41, n. 1, p. 34-38, jan./feb. 2021. DOI: 10.1590/1809-4430-Eng.Agric.v41n1p34-38/2021.http://repositorio.ufla.br/jspui/handle/1/50302Engenharia Agrícola (EAgri)reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessLins, Ana C. de S. S.Lourençoni, DianYanagi Júnior, TadayukiMiranda, Isadora B.Santos, Italo E. dos A.eng2022-06-22T17:07:13Zoai:localhost:1/50302Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-06-22T17:07:13Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
title Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
spellingShingle Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
Lins, Ana C. de S. S.
Neuro-fuzzy
Thermography
Poultry farming
Simulation
Artificial intelligence
title_short Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
title_full Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
title_fullStr Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
title_full_unstemmed Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
title_sort Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens
author Lins, Ana C. de S. S.
author_facet Lins, Ana C. de S. S.
Lourençoni, Dian
Yanagi Júnior, Tadayuki
Miranda, Isadora B.
Santos, Italo E. dos A.
author_role author
author2 Lourençoni, Dian
Yanagi Júnior, Tadayuki
Miranda, Isadora B.
Santos, Italo E. dos A.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lins, Ana C. de S. S.
Lourençoni, Dian
Yanagi Júnior, Tadayuki
Miranda, Isadora B.
Santos, Italo E. dos A.
dc.subject.por.fl_str_mv Neuro-fuzzy
Thermography
Poultry farming
Simulation
Artificial intelligence
topic Neuro-fuzzy
Thermography
Poultry farming
Simulation
Artificial intelligence
description Considering the challenges faced by poultry farming, this study aimed to develop a neuro-fuzzy model to predict eyeball and crest temperatures of egg-laying hens based on environmental conditions (dry bulb temperature and relative humidity). To develop the models and simulations, Matlab’s Fuzzy Toolbox® (Anfisedit) was used. Different configurations were used for each of the several neuro-fuzzy models developed. Eyeball temperature (ET) and chicken crest temperature (CCT) were simulated from the developed neuro-fuzzy models, and the obtained results were validated with the variables collected experimentally with the aid of recorder sensors and an infrared thermographic camera. The proposed neuro-fuzzy models allow the accurate estimation of ET and CCT of two lineages of egg-laying hens raised in conventional aviaries, thus helping in decision-making for better animal welfare.
publishDate 2021
dc.date.none.fl_str_mv 2021-02
2022-06-22T17:07:13Z
2022-06-22T17:07:13Z
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 LINS, A. C. de S. S. et al. Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens. Engenharia Agrícola, Jaboticabal, v. 41, n. 1, p. 34-38, jan./feb. 2021. DOI: 10.1590/1809-4430-Eng.Agric.v41n1p34-38/2021.
http://repositorio.ufla.br/jspui/handle/1/50302
identifier_str_mv LINS, A. C. de S. S. et al. Neuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens. Engenharia Agrícola, Jaboticabal, v. 41, n. 1, p. 34-38, jan./feb. 2021. DOI: 10.1590/1809-4430-Eng.Agric.v41n1p34-38/2021.
url http://repositorio.ufla.br/jspui/handle/1/50302
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola (SBEA)
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola (SBEA)
dc.source.none.fl_str_mv Engenharia Agrícola (EAgri)
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_ 1807835070891819008

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