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

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorLins, Ana C. de S. S.-
Autor(es): dc.creatorLourençoni, Dian-
Autor(es): dc.creatorYanagi Júnior, Tadayuki-
Autor(es): dc.creatorMiranda, Isadora B.-
Autor(es): dc.creatorSantos, Italo E. dos A.-
Data de aceite: dc.date.accessioned2026-02-09T11:21:35Z-
Data de disponibilização: dc.date.available2026-02-09T11:21:35Z-
Data de envio: dc.date.issued2022-06-22-
Data de envio: dc.date.issued2022-06-22-
Data de envio: dc.date.issued2021-01-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/50302-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1139213-
Descrição: dc.descriptionConsidering 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.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherAssociação Brasileira de Engenharia Agrícola (SBEA)-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
???dc.source???: dc.sourceEngenharia Agrícola (EAgri)-
Palavras-chave: dc.subjectNeuro-fuzzy-
Palavras-chave: dc.subjectThermography-
Palavras-chave: dc.subjectPoultry farming-
Palavras-chave: dc.subjectSimulation-
Palavras-chave: dc.subjectArtificial intelligence-
Título: dc.titleNeuro-fuzzy modeling of eyeball and crest temperatures in egg-laying hens-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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