Use of fuzzy logic to optimize fertilizer application on brizantha grass

Detalhes bibliográficos
Autor(a) principal: Godinho, Emmanuel Zullo [UNESP]
Data de Publicação: 2022
Outros Autores: Caneppele, Fernando de Lima, Gasparotto, Helio Vagner [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3895/rts.v18n51.15202
http://hdl.handle.net/11449/237543
Resumo: Brachiaria is considered essential for bovine feeding. Therefore, the producer seeks to find the best fertilizer dosages for high yields. The general objective of this work was to present a model, based on indicators and fuzzy logic, to optimize the dosages of two fertilizers in a Brachiaria cultivar. Variables related to fertilizers (mineral and organic) and to the height of the plant (in cm) were used to enter this system. The best results after optimizing the entry rules for the application of mineral and organic fertilizers were between 0 to 20 and 150 to 200 with 130 to 150 and 180 to 200, respectively in g/m(2), respectively. With the application of fuzzy rules using real data, it can present great benefits to those involved in the livestock production chain, thus being able to reduce the dosages in the applications and improving its final profitability.
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spelling Use of fuzzy logic to optimize fertilizer application on brizantha grassSustainabilityBrachiaria brizanthaFuzzy Logic ApplicationBrachiaria is considered essential for bovine feeding. Therefore, the producer seeks to find the best fertilizer dosages for high yields. The general objective of this work was to present a model, based on indicators and fuzzy logic, to optimize the dosages of two fertilizers in a Brachiaria cultivar. Variables related to fertilizers (mineral and organic) and to the height of the plant (in cm) were used to enter this system. The best results after optimizing the entry rules for the application of mineral and organic fertilizers were between 0 to 20 and 150 to 200 with 130 to 150 and 180 to 200, respectively in g/m(2), respectively. With the application of fuzzy rules using real data, it can present great benefits to those involved in the livestock production chain, thus being able to reduce the dosages in the applications and improving its final profitability.Univ Estadual Paulista FCA UNESP, Agron Energia Agr, Botucatu, SP, BrazilAgron Energia Agr, Botucatu, SP, BrazilUniv Sao Paulo FZEA USP, Sao Paulo, BrazilUniv Estadual Paulista UNESP, Ciencias Contabeis, Botucatu, SP, BrazilUniv Estadual Paulista FCA UNESP, Agron Energia Agr, Botucatu, SP, BrazilUniv Estadual Paulista UNESP, Ciencias Contabeis, Botucatu, SP, BrazilUniv Tecnologica Fed Parana-utfprUniversidade Estadual Paulista (UNESP)Agron Energia AgrUniversidade de São Paulo (USP)Godinho, Emmanuel Zullo [UNESP]Caneppele, Fernando de LimaGasparotto, Helio Vagner [UNESP]2022-11-30T13:38:08Z2022-11-30T13:38:08Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article301-313http://dx.doi.org/10.3895/rts.v18n51.15202Revista Tecnologia E Sociedade. Curitiba: Univ Tecnologica Fed Parana-utfpr, v. 18, n. 51, p. 301-313, 2022.1809-0044http://hdl.handle.net/11449/23754310.3895/rts.v18n51.15202WOS:000785148700018Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Tecnologia E Sociedadeinfo:eu-repo/semantics/openAccess2022-11-30T13:38:08Zoai:repositorio.unesp.br:11449/237543Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:27:34.813763Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Use of fuzzy logic to optimize fertilizer application on brizantha grass
title Use of fuzzy logic to optimize fertilizer application on brizantha grass
spellingShingle Use of fuzzy logic to optimize fertilizer application on brizantha grass
Godinho, Emmanuel Zullo [UNESP]
Sustainability
Brachiaria brizantha
Fuzzy Logic Application
title_short Use of fuzzy logic to optimize fertilizer application on brizantha grass
title_full Use of fuzzy logic to optimize fertilizer application on brizantha grass
title_fullStr Use of fuzzy logic to optimize fertilizer application on brizantha grass
title_full_unstemmed Use of fuzzy logic to optimize fertilizer application on brizantha grass
title_sort Use of fuzzy logic to optimize fertilizer application on brizantha grass
author Godinho, Emmanuel Zullo [UNESP]
author_facet Godinho, Emmanuel Zullo [UNESP]
Caneppele, Fernando de Lima
Gasparotto, Helio Vagner [UNESP]
author_role author
author2 Caneppele, Fernando de Lima
Gasparotto, Helio Vagner [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Agron Energia Agr
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Godinho, Emmanuel Zullo [UNESP]
Caneppele, Fernando de Lima
Gasparotto, Helio Vagner [UNESP]
dc.subject.por.fl_str_mv Sustainability
Brachiaria brizantha
Fuzzy Logic Application
topic Sustainability
Brachiaria brizantha
Fuzzy Logic Application
description Brachiaria is considered essential for bovine feeding. Therefore, the producer seeks to find the best fertilizer dosages for high yields. The general objective of this work was to present a model, based on indicators and fuzzy logic, to optimize the dosages of two fertilizers in a Brachiaria cultivar. Variables related to fertilizers (mineral and organic) and to the height of the plant (in cm) were used to enter this system. The best results after optimizing the entry rules for the application of mineral and organic fertilizers were between 0 to 20 and 150 to 200 with 130 to 150 and 180 to 200, respectively in g/m(2), respectively. With the application of fuzzy rules using real data, it can present great benefits to those involved in the livestock production chain, thus being able to reduce the dosages in the applications and improving its final profitability.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-30T13:38:08Z
2022-11-30T13:38:08Z
2022-04-01
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/10.3895/rts.v18n51.15202
Revista Tecnologia E Sociedade. Curitiba: Univ Tecnologica Fed Parana-utfpr, v. 18, n. 51, p. 301-313, 2022.
1809-0044
http://hdl.handle.net/11449/237543
10.3895/rts.v18n51.15202
WOS:000785148700018
url http://dx.doi.org/10.3895/rts.v18n51.15202
http://hdl.handle.net/11449/237543
identifier_str_mv Revista Tecnologia E Sociedade. Curitiba: Univ Tecnologica Fed Parana-utfpr, v. 18, n. 51, p. 301-313, 2022.
1809-0044
10.3895/rts.v18n51.15202
WOS:000785148700018
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Tecnologia E Sociedade
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 301-313
dc.publisher.none.fl_str_mv Univ Tecnologica Fed Parana-utfpr
publisher.none.fl_str_mv Univ Tecnologica Fed Parana-utfpr
dc.source.none.fl_str_mv Web of Science
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_ 1808129072632430592

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