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

Detalhes bibliográficos
Autor(a) principal: Gabriel Filho, Luís R.A. [UNESP]
Data de Publicação: 2016
Outros Autores: Putti, Fernando F. [UNESP], Cremasco, Camila P. [UNESP], Bordin, Deyver, Chacur, Marcelo G.M., Gabriel, Luiz R.A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016
http://hdl.handle.net/11449/168562
Resumo: The 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.
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spelling Software to assess beef cattle body mass through the fuzzy body mass indexComputer systemIMCMamdani and profitsThe 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.Faculdade de Ciências e Engenharia UNESP - Univ Estadual Paulista Laboratório de Matemática Aplicada e ComputacionalFaculdade de Ciências e Engenharia UNESP-Univ Estadual PaulistaUNIFENAS - Univ José do Rosário VellanoUNOESTE - Univ do Oeste PaulistaFaculdade de Ciências e Engenharia UNESP - Univ Estadual Paulista Laboratório de Matemática Aplicada e ComputacionalFaculdade de Ciências e Engenharia UNESP-Univ Estadual PaulistaUniversidade Estadual Paulista (Unesp)UNIFENAS - Univ José do Rosário VellanoUNOESTE - Univ do Oeste PaulistaGabriel Filho, Luís R.A. [UNESP]Putti, Fernando F. [UNESP]Cremasco, Camila P. [UNESP]Bordin, DeyverChacur, Marcelo G.M.Gabriel, Luiz R.A.2018-12-11T16:41:48Z2018-12-11T16:41:48Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article179-193application/pdfhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016Engenharia Agricola, v. 36, n. 1, p. 179-193, 2016.1808-43890100-6916http://hdl.handle.net/11449/16856210.1590/1809-4430-Eng.Agric.v36n1p179-193/2016S0100-691620160001001792-s2.0-84963569163S0100-69162016000100179.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agricola0,305info:eu-repo/semantics/openAccess2023-12-08T06:21:02Zoai:repositorio.unesp.br:11449/168562Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-08T06:21:02Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Software to assess beef cattle body mass through the fuzzy body mass index
title Software to assess beef cattle body mass through the fuzzy body mass index
spellingShingle Software to assess beef cattle body mass through the fuzzy body mass index
Gabriel Filho, Luís R.A. [UNESP]
Computer system
IMC
Mamdani and profits
title_short Software to assess beef cattle body mass through the fuzzy body mass index
title_full Software to assess beef cattle body mass through the fuzzy body mass index
title_fullStr Software to assess beef cattle body mass through the fuzzy body mass index
title_full_unstemmed Software to assess beef cattle body mass through the fuzzy body mass index
title_sort Software to assess beef cattle body mass through the fuzzy body mass index
author Gabriel Filho, Luís R.A. [UNESP]
author_facet Gabriel Filho, Luís R.A. [UNESP]
Putti, Fernando F. [UNESP]
Cremasco, Camila P. [UNESP]
Bordin, Deyver
Chacur, Marcelo G.M.
Gabriel, Luiz R.A.
author_role author
author2 Putti, Fernando F. [UNESP]
Cremasco, Camila P. [UNESP]
Bordin, Deyver
Chacur, Marcelo G.M.
Gabriel, Luiz R.A.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
UNIFENAS - Univ José do Rosário Vellano
UNOESTE - Univ do Oeste Paulista
dc.contributor.author.fl_str_mv Gabriel Filho, Luís R.A. [UNESP]
Putti, Fernando F. [UNESP]
Cremasco, Camila P. [UNESP]
Bordin, Deyver
Chacur, Marcelo G.M.
Gabriel, Luiz R.A.
dc.subject.por.fl_str_mv Computer system
IMC
Mamdani and profits
topic Computer system
IMC
Mamdani and profits
description The 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.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-12-11T16:41:48Z
2018-12-11T16:41:48Z
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 http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016
Engenharia Agricola, v. 36, n. 1, p. 179-193, 2016.
1808-4389
0100-6916
http://hdl.handle.net/11449/168562
10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016
S0100-69162016000100179
2-s2.0-84963569163
S0100-69162016000100179.pdf
url http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016
http://hdl.handle.net/11449/168562
identifier_str_mv Engenharia Agricola, v. 36, n. 1, p. 179-193, 2016.
1808-4389
0100-6916
10.1590/1809-4430-Eng.Agric.v36n1p179-193/2016
S0100-69162016000100179
2-s2.0-84963569163
S0100-69162016000100179.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Engenharia Agricola
0,305
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 179-193
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965213258153984

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