Fuzzy Modeling Development for Lettuce Plants Irrigated with Magnetically Treated Water

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Ponta Grossa (UEPG)-
Autor(es): dc.contributorFederal University of Triângulo Mineiro (UFMT)-
Autor(es): dc.contributorAdamantina College of Technology (FATEC)-
Autor(es): dc.creatorFerrari Putti, Fernando-
Autor(es): dc.creatorCremasco, Camila Pires-
Autor(es): dc.creatorNeto, Alfredo Bonini-
Autor(es): dc.creatorBarbosa, Ana Carolina Kummer-
Autor(es): dc.creatorJúnior, Josué Ferreira da Silva-
Autor(es): dc.creatorReis, André Rodrigues dos-
Autor(es): dc.creatorGóes, Bruno César-
Autor(es): dc.creatorArruda, Bruna-
Autor(es): dc.creatorFilho, Luís Roberto Almeida Gabriel-
Data de aceite: dc.date.accessioned2025-08-21T23:47:37Z-
Data de disponibilização: dc.date.available2025-08-21T23:47:37Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-10-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/plants12223811-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/310004-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/310004-
Descrição: dc.descriptionDue to the worldwide water supply crisis, sustainable strategies are required for a better use of this resource. The use of magnetic water has been shown to have potential for improving irrigation efficacy. However, a lack of modelling methods that correspond to the experimental results and minimize error is observed. This study aimed to estimate the replacement rates of magnetic water provided by irrigation for lettuce production using a mathematical model based on fuzzy logic and to compare multiple polynomial regression analysis and the fuzzy model. A greenhouse study was conducted with lettuce using two types of water, magnetic water (MW) and conventional water (CW), and five irrigation levels (25, 50, 75, 100 and 125%) of crop evapotranspiration. Plant samples for biometric lettuce were taken at 14, 21, 28 and 35 days after transplanting. The data were analyzed via multiple polynomial regression and fuzzy mathematical modeling, followed by an inference of the models and a comparison between the methods. The highest biometric values for lettuce were observed when irrigated with MW during the different phenological stage evaluated. The fuzzy model provided a more exact adjustment when compared to the multiple polynomial regressions.-
Descrição: dc.descriptionSchool of Science and Engineering São Paulo State University (UNESP), SP-
Descrição: dc.descriptionDepartment of Civil Engineering Ponta Grossa State University (UEPG), PR-
Descrição: dc.descriptionDepartment of Agronomy Federal University of Triângulo Mineiro (UFMT), MG-
Descrição: dc.descriptionDepartment for Business Adamantina College of Technology (FATEC), SP-
Descrição: dc.descriptionSchool of Science and Engineering São Paulo State University (UNESP), SP-
Idioma: dc.languageen-
Relação: dc.relationPlants-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcurves-
Palavras-chave: dc.subjectgrowth-
Palavras-chave: dc.subjectLactuca sativa-
Palavras-chave: dc.subjectprecision-
Palavras-chave: dc.subjectuncertain-
Título: dc.titleFuzzy Modeling Development for Lettuce Plants Irrigated with Magnetically Treated Water-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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