Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation

Detalhes bibliográficos
Autor(a) principal: Putti, Fernando F. [UNESP]
Data de Publicação: 2022
Outros Autores: Cremasco, Camila P. [UNESP], Junior, Josué F. Silva, Filho, Luís R. A. Gabriel [UNESP]
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.V42N1E215144/2022
http://hdl.handle.net/11449/223574
Resumo: The increase of water usage for food production in recent years has triggered researches on ways to optimize the use of water and to reuse saline water. The present study analyzes the effects of reused saline water in the irrigation of radish culture and the construction of a fuzzy logical mathematic model so that producers may evaluate their production. The experiment, measuring the development of radish bulb at five saline water levels, was developed in a greenhouse in the Botucatu, Campus of the São Paulo State University (UNESP), Botucatu/SP, Brazil. Results showed that salinity caused reduction in fresh and dry matter of the bulb and affected ratings throughout the culture cycle. From the developed fuzzy model, it was possible to verify that the fuzzy modeling helps in the analysis of the experimental data and makes it possible to perform simulations capable of inferring points that were not experimentally determined.
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spelling Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water IrrigationArtificial intelligenceOptimizationSaline waterThe increase of water usage for food production in recent years has triggered researches on ways to optimize the use of water and to reuse saline water. The present study analyzes the effects of reused saline water in the irrigation of radish culture and the construction of a fuzzy logical mathematic model so that producers may evaluate their production. The experiment, measuring the development of radish bulb at five saline water levels, was developed in a greenhouse in the Botucatu, Campus of the São Paulo State University (UNESP), Botucatu/SP, Brazil. Results showed that salinity caused reduction in fresh and dry matter of the bulb and affected ratings throughout the culture cycle. From the developed fuzzy model, it was possible to verify that the fuzzy modeling helps in the analysis of the experimental data and makes it possible to perform simulations capable of inferring points that were not experimentally determined.São Paulo State University (UNESP), SPFederal University of Triângulo Mineiro, MGSão Paulo State University (UNESP), SPUniversidade Estadual Paulista (UNESP)Federal University of Triângulo MineiroPutti, Fernando F. [UNESP]Cremasco, Camila P. [UNESP]Junior, Josué F. SilvaFilho, Luís R. A. Gabriel [UNESP]2022-04-28T19:51:28Z2022-04-28T19:51:28Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V42N1E215144/2022Engenharia Agricola, v. 42, n. 1, 2022.1808-43890100-6916http://hdl.handle.net/11449/22357410.1590/1809-4430-ENG.AGRIC.V42N1E215144/20222-s2.0-85125842336Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agricolainfo:eu-repo/semantics/openAccess2022-04-28T19:51:28Zoai:repositorio.unesp.br:11449/223574Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:04:07.808692Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
title Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
spellingShingle Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
Putti, Fernando F. [UNESP]
Artificial intelligence
Optimization
Saline water
title_short Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
title_full Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
title_fullStr Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
title_full_unstemmed Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
title_sort Fuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation
author Putti, Fernando F. [UNESP]
author_facet Putti, Fernando F. [UNESP]
Cremasco, Camila P. [UNESP]
Junior, Josué F. Silva
Filho, Luís R. A. Gabriel [UNESP]
author_role author
author2 Cremasco, Camila P. [UNESP]
Junior, Josué F. Silva
Filho, Luís R. A. Gabriel [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Federal University of Triângulo Mineiro
dc.contributor.author.fl_str_mv Putti, Fernando F. [UNESP]
Cremasco, Camila P. [UNESP]
Junior, Josué F. Silva
Filho, Luís R. A. Gabriel [UNESP]
dc.subject.por.fl_str_mv Artificial intelligence
Optimization
Saline water
topic Artificial intelligence
Optimization
Saline water
description The increase of water usage for food production in recent years has triggered researches on ways to optimize the use of water and to reuse saline water. The present study analyzes the effects of reused saline water in the irrigation of radish culture and the construction of a fuzzy logical mathematic model so that producers may evaluate their production. The experiment, measuring the development of radish bulb at five saline water levels, was developed in a greenhouse in the Botucatu, Campus of the São Paulo State University (UNESP), Botucatu/SP, Brazil. Results showed that salinity caused reduction in fresh and dry matter of the bulb and affected ratings throughout the culture cycle. From the developed fuzzy model, it was possible to verify that the fuzzy modeling helps in the analysis of the experimental data and makes it possible to perform simulations capable of inferring points that were not experimentally determined.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28T19:51:28Z
2022-04-28T19:51:28Z
2022-01-01
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/10.1590/1809-4430-ENG.AGRIC.V42N1E215144/2022
Engenharia Agricola, v. 42, n. 1, 2022.
1808-4389
0100-6916
http://hdl.handle.net/11449/223574
10.1590/1809-4430-ENG.AGRIC.V42N1E215144/2022
2-s2.0-85125842336
url http://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V42N1E215144/2022
http://hdl.handle.net/11449/223574
identifier_str_mv Engenharia Agricola, v. 42, n. 1, 2022.
1808-4389
0100-6916
10.1590/1809-4430-ENG.AGRIC.V42N1E215144/2022
2-s2.0-85125842336
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Engenharia Agricola
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1808128311074750464

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