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Fuzzy modeling of the effect of irrigation depths on beet cultivars

dc.contributor.authorFilho, Luís R. A. Gabriel [UNESP]
dc.contributor.authorda Silva, Alexsandro O.
dc.contributor.authorCremasco, Camila Pires [UNESP]
dc.contributor.authorPutti, Fernando Ferrari [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFederal University of Ceará (UFC)
dc.date.accessioned2022-04-28T19:49:21Z
dc.date.available2022-04-28T19:49:21Z
dc.date.issued2022-01-01
dc.description.abstractThe objective of this study was to develop a Fuzzy Rule-Based System (FRBS) for the mathematically modeling of the irrigation level effect on beet cultivars (Beta vulgaris L.). From an agronomic experiment carried out in a protected environment (greenhouse), it was defined as input variables, for each cultivar, the irrigation levels (depths of 25, 40, 55, 70, 85, and 100% of ETc), in which ETc is the crop evapotranspiration [mm d-1], while the output variables were productivity, root diameter, and plant height. Was adopted the inference method of Mamdani and centroid method for fuzzification. The fuzzy models performed better than polynomial regression models, when compared with the coefficients of determination (R²), mean absolute error (MAE) and root mean square error (RMSE). In addition, the excellent performance of the model is highlighted due to the curve containing all the points of the treatments means. As agronomic results, concluded that the Early Wonder cultivar has higher yields when submitted to water deficit.en
dc.description.affiliationSão Paulo State University (UNESP), SP
dc.description.affiliationFederal University of Ceará (UFC), CE
dc.description.affiliationUnespSão Paulo State University (UNESP), SP
dc.identifierhttp://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V42N1E20210084/2022
dc.identifier.citationEngenharia Agricola, v. 42, n. 1, 2022.
dc.identifier.doi10.1590/1809-4430-ENG.AGRIC.V42N1E20210084/2022
dc.identifier.issn1808-4389
dc.identifier.issn0100-6916
dc.identifier.scopus2-s2.0-85122503389
dc.identifier.urihttp://hdl.handle.net/11449/223203
dc.language.isoeng
dc.relation.ispartofEngenharia Agricola
dc.sourceScopus
dc.subjectArtificial intelligence
dc.subjectBeet
dc.subjectFuzzy logic
dc.subjectProduction
dc.subjectWater deficit
dc.titleFuzzy modeling of the effect of irrigation depths on beet cultivarsen
dc.typeArtigo
unesp.author.orcid0000-0002-7269-2806[1]

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