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Software to assess beef cattle body mass through the fuzzy body mass index

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dc.contributor.authorGabriel Filho, Luís R.A. [UNESP]
dc.contributor.authorPutti, Fernando F. [UNESP]
dc.contributor.authorCremasco, Camila P. [UNESP]
dc.contributor.authorBordin, Deyver
dc.contributor.authorChacur, Marcelo G.M.
dc.contributor.authorGabriel, Luiz R.A.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUNIFENAS - Univ José do Rosário Vellano
dc.contributor.institutionUNOESTE - Univ do Oeste Paulista
dc.date.accessioned2018-12-11T16:41:48Z
dc.date.available2018-12-11T16:41:48Z
dc.date.issued2016-01-01
dc.description.abstractThe Body Mass Index (BMI) can be used by farmers to help determine the time of evaluation of the body mass gain of the animal. However, the calculation of this index does not reveal immediately whether the animal is ready for slaughter or if it needs special care fattening. The aim of this study was to develop a software using the Fuzzy Logic to compare the bovine body mass among themselves and identify the groups for slaughter and those that requires more intensive feeding, using mass and height variables, and the output Fuzzy BMI. For the development of the software, it was used a fuzzy system with applications in a herd of 147 Nellore cows, located in a city of Santa Rita do Pardo city - Mato Grosso do Sul (MS) state, in Brazil, and a database generated by Matlab software.en
dc.description.affiliationFaculdade de Ciências e Engenharia UNESP - Univ Estadual Paulista Laboratório de Matemática Aplicada e Computacional
dc.description.affiliationFaculdade de Ciências e Engenharia UNESP-Univ Estadual Paulista
dc.description.affiliationUNIFENAS - Univ José do Rosário Vellano
dc.description.affiliationUNOESTE - Univ do Oeste Paulista
dc.description.affiliationUnespFaculdade de Ciências e Engenharia UNESP - Univ Estadual Paulista Laboratório de Matemática Aplicada e Computacional
dc.description.affiliationUnespFaculdade de Ciências e Engenharia UNESP-Univ Estadual Paulista
dc.format.extent179-193
dc.identifierhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016
dc.identifier.citationEngenharia Agricola, v. 36, n. 1, p. 179-193, 2016.
dc.identifier.doi10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016
dc.identifier.fileS0100-69162016000100179.pdf
dc.identifier.issn1808-4389
dc.identifier.issn0100-6916
dc.identifier.scieloS0100-69162016000100179
dc.identifier.scopus2-s2.0-84963569163
dc.identifier.urihttp://hdl.handle.net/11449/168562
dc.language.isoeng
dc.relation.ispartofEngenharia Agricola
dc.relation.ispartofsjr0,305
dc.rights.accessRightsAcesso abertopt
dc.sourceScopus
dc.subjectComputer system
dc.subjectIMC
dc.subjectMamdani and profits
dc.titleSoftware to assess beef cattle body mass through the fuzzy body mass indexen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.lattes9951953532998797[3]
unesp.author.orcid0000-0003-2465-1361[3]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Engenharia, Tupãpt

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