Fuzzy control systems for decision-making in cultivars recommendation
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39314 |
Resumo: | The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the necessity of performing an adaptability and stability analysis. For both controllers (Mamdani and Sugeno), seven lines presented general adaptability, while only one presented adaptability to unfavorable environments. It was also found that both inference systems were useful for developing controllers that had the aim of recommending cultivars. Thus, it was noted that fuzzy control systems have the potential to identify the behavior of bean genotypes. |
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Acta Scientiarum. Agronomy (Online) |
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Fuzzy control systems for decision-making in cultivars recommendationcommon beanadaptability and stabilitycomputational intelligence.The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the necessity of performing an adaptability and stability analysis. For both controllers (Mamdani and Sugeno), seven lines presented general adaptability, while only one presented adaptability to unfavorable environments. It was also found that both inference systems were useful for developing controllers that had the aim of recommending cultivars. Thus, it was noted that fuzzy control systems have the potential to identify the behavior of bean genotypes. Universidade Estadual de Maringá2018-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/3931410.4025/actasciagron.v40i1.39314Acta Scientiarum. Agronomy; Vol 40 (2018): Publicação Contínua; e39314Acta Scientiarum. Agronomy; v. 40 (2018): Publicação Contínua; e393141807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39314/pdfCopyright (c) 2018 Acta Scientiarum. Agronomyinfo:eu-repo/semantics/openAccessCarneiro, Vinícius QuintãoPrado, Adalgisa Leles doCruz, Cosme DamiãoCarneiro, Pedro Crescêncio SouzaNascimento, MoysésCarneiro, José Eustáquio de Souza2019-09-24T12:26:47Zoai:periodicos.uem.br/ojs:article/39314Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2019-09-24T12:26:47Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Fuzzy control systems for decision-making in cultivars recommendation |
title |
Fuzzy control systems for decision-making in cultivars recommendation |
spellingShingle |
Fuzzy control systems for decision-making in cultivars recommendation Carneiro, Vinícius Quintão common bean adaptability and stability computational intelligence. |
title_short |
Fuzzy control systems for decision-making in cultivars recommendation |
title_full |
Fuzzy control systems for decision-making in cultivars recommendation |
title_fullStr |
Fuzzy control systems for decision-making in cultivars recommendation |
title_full_unstemmed |
Fuzzy control systems for decision-making in cultivars recommendation |
title_sort |
Fuzzy control systems for decision-making in cultivars recommendation |
author |
Carneiro, Vinícius Quintão |
author_facet |
Carneiro, Vinícius Quintão Prado, Adalgisa Leles do Cruz, Cosme Damião Carneiro, Pedro Crescêncio Souza Nascimento, Moysés Carneiro, José Eustáquio de Souza |
author_role |
author |
author2 |
Prado, Adalgisa Leles do Cruz, Cosme Damião Carneiro, Pedro Crescêncio Souza Nascimento, Moysés Carneiro, José Eustáquio de Souza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Carneiro, Vinícius Quintão Prado, Adalgisa Leles do Cruz, Cosme Damião Carneiro, Pedro Crescêncio Souza Nascimento, Moysés Carneiro, José Eustáquio de Souza |
dc.subject.por.fl_str_mv |
common bean adaptability and stability computational intelligence. |
topic |
common bean adaptability and stability computational intelligence. |
description |
The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the necessity of performing an adaptability and stability analysis. For both controllers (Mamdani and Sugeno), seven lines presented general adaptability, while only one presented adaptability to unfavorable environments. It was also found that both inference systems were useful for developing controllers that had the aim of recommending cultivars. Thus, it was noted that fuzzy control systems have the potential to identify the behavior of bean genotypes. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-05-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39314 10.4025/actasciagron.v40i1.39314 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39314 |
identifier_str_mv |
10.4025/actasciagron.v40i1.39314 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39314/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Acta Scientiarum. Agronomy info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Acta Scientiarum. Agronomy |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 40 (2018): Publicação Contínua; e39314 Acta Scientiarum. Agronomy; v. 40 (2018): Publicação Contínua; e39314 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305910505439232 |