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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFederal University of Triângulo Mineiro-
Autor(es): dc.creatorPutti, Fernando F.-
Autor(es): dc.creatorCremasco, Camila P.-
Autor(es): dc.creatorJunior, Josué F. Silva-
Autor(es): dc.creatorFilho, Luís R. A. Gabriel-
Data de aceite: dc.date.accessioned2025-08-21T15:30:57Z-
Data de disponibilização: dc.date.available2025-08-21T15:30:57Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V42N1E215144/2022-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/223574-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/223574-
Descrição: dc.descriptionThe 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.-
Descrição: dc.descriptionSão Paulo State University (UNESP), SP-
Descrição: dc.descriptionFederal University of Triângulo Mineiro, MG-
Descrição: dc.descriptionSão Paulo State University (UNESP), SP-
Idioma: dc.languageen-
Relação: dc.relationEngenharia Agricola-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial intelligence-
Palavras-chave: dc.subjectOptimization-
Palavras-chave: dc.subjectSaline water-
Título: dc.titleFuzzy Modeling of Salinity Effects on Radish Yield Under Reuse Water Irrigation-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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