Fuzzy Modeling In Orange Production Under Different Doses Of Sewage Sludge And Wastewater

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dc.contributor.authorPutti, Fernando F. [UNESP]
dc.contributor.authorLanza, Marcio H. [UNESP]
dc.contributor.authorFilho, Hélio G. [UNESP]
dc.contributor.authorCremasco, Camila P. [UNESP]
dc.contributor.authorSouza, Angela V. [UNESP]
dc.contributor.authorFilho, Luís R. A. Gabriel [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T10:31:25Z
dc.date.available2021-06-25T10:31:25Z
dc.date.issued2021-01-01
dc.description.abstractThe present work aimed to develop mathematical fuzzy models to evaluate the effects of different doses of sewage sludge and irrigation with wastewater and potable water. Such models were elaborated from an experiment carried out at the Faculty of Agronomic Sciences, in the Department of Soil and Environmental Resources, from the Sao Paulo State University, in Brazil. The experiment was carried out in a randomized block design, in a 6 × 2 factorial scheme, with 6 doses of sewage sludge (0, 25, 50, 75, 100 and 125 of the recommended dose of N), and in the presence and absence of wastewater. In the development of the fuzzy model, the Mamdani method was used for the defuzzification. As input variables, the doses of sewage sludge and the types of water were used. For the output variables, it was sought to evaluate the biometric and developmental components of the culture. It can be inferred that the model developed presented a good fit when compared to the regression model, and that the use of sewage sludge may prove to be a potential future replacement of mineral nitrogenen
dc.description.affiliationSão Paulo State University (UNESP) School of Sciences and Engineering
dc.description.affiliationSão Paulo State University (UNESP) School of Agriculture
dc.description.affiliationUnespSão Paulo State University (UNESP) School of Sciences and Engineering
dc.description.affiliationUnespSão Paulo State University (UNESP) School of Agriculture
dc.format.extent204-214
dc.identifierhttp://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V41N2P204-214/2021
dc.identifier.citationEngenharia Agricola, v. 41, n. 2, p. 204-214, 2021.
dc.identifier.doi10.1590/1809-4430-ENG.AGRIC.V41N2P204-214/2021
dc.identifier.fileS0100-69162021000200204.pdf
dc.identifier.issn1808-4389
dc.identifier.issn0100-6916
dc.identifier.scieloS0100-69162021000200204
dc.identifier.scopus2-s2.0-85106646873
dc.identifier.urihttp://hdl.handle.net/11449/206398
dc.language.isoeng
dc.relation.ispartofEngenharia Agricola
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectbiosolid
dc.subjectFuzzy logic
dc.subjectMamdani method.
dc.subjectorganic matter
dc.subjectreuse water
dc.titleFuzzy Modeling In Orange Production Under Different Doses Of Sewage Sludge And Wastewateren
dc.typeArtigo
unesp.author.orcid0000-0002-0555-9271 0000-0002-0555-9271[1]

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