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dc.contributor.authorde Oliveira, Rodrigo F. [UNESP]
dc.contributor.authorFerreira, Rony A.
dc.contributor.authorAbreu, Lucas H.P.
dc.contributor.authorJúnior, Tadayuki Yanagi
dc.contributor.authorLourençoni, Dian
dc.date.accessioned2018-12-11T16:55:03Z
dc.date.available2018-12-11T16:55:03Z
dc.date.issued2018-07-01
dc.identifierhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v38n4p457-470/2018
dc.identifier.citationEngenharia Agricola, v. 38, n. 4, p. 457-470, 2018.
dc.identifier.issn1808-4389
dc.identifier.issn0100-6916
dc.identifier.urihttp://hdl.handle.net/11449/171371
dc.description.abstractPhysiological parameters such as respiratory frequency and rectal temperature stand out as indicators for heat stress in pigs, however, requiring time and labor for measurements. The possibility of using infrared thermography associated with prediction systems of these physiological variables can help in decision making, allowing greater welfare and productivity of the animals. With this objective, an experiment was carried out with growing pigs submitted to acute and chronic heat stress, working with a thermoneutrality temperature (22° C) and heat stress (34° C). The results were used for the development of a fuzzy model using as input variables: air dry bulb temperature (°C), average surface temperature (°C) and, as output variables: respiratory frequency (movements/minute) and rectal temperature (°C). The method of inference used was the one of Mamdani having been elaborated six rules and the defuzzification technique used was the one of the Center of Gravity. In the obtained results on simulation model when compared with experimental data was evidenced satisfactory efficiency in respiratory frequency determination and the rectal temperature, in which the R2 values calculated were respectively 0.997 and 0.951 for acute stress and 0.993 and 0.964 for chronic heat stress.en
dc.format.extent457-470
dc.language.isoeng
dc.relation.ispartofEngenharia Agricola
dc.sourceScopus
dc.subjectAnimal environment
dc.subjectFuzzy set theory
dc.subjectInfrared thermography
dc.subjectPig breeding farm
dc.titleEstimation of respiratory frequency and rectal temperature on pigs in heat stress by fuzzy logicen
dc.typeArtigo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionUniversidade Federal do Vale do São Francisco/UNIVASF
dc.description.affiliationUniversidade Estadual Paulista/UNESP
dc.description.affiliationUniversidade Federal de Lavras/UFLA
dc.description.affiliationUniversidade Federal do Vale do São Francisco/UNIVASF
dc.description.affiliationUnespUniversidade Estadual Paulista/UNESP
dc.identifier.doi10.1590/1809-4430-Eng.Agric.v38n4p457-470/2018
dc.identifier.scieloS0100-69162018000400457
dc.rights.accessRightsAcesso aberto
dc.identifier.scopus2-s2.0-85052120454
dc.identifier.fileS0100-69162018000400457.pdf
dc.relation.ispartofsjr0,305
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