FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS

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dc.contributor.authorBoso, Ana C. M. R. [UNESP]
dc.contributor.authorCremasco, Camila P. [UNESP]
dc.contributor.authorPutti, Fernando F. [UNESP]
dc.contributor.authorGabriel, Luís R. A. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-07-14T10:21:14Z
dc.date.available2021-07-14T10:21:14Z
dc.date.issued2021-06-25
dc.description.abstractThe productivity of a crop is related to the water demand inserted in its development. The measurement of water and its optimization directly influences the final costs of crop production for agricultural producers. In this sense, the objective of this study is evaluating the fuzzy modeling in estimating the productivity of the radish crop (fresh phytomass of the tuberous root) affected by different irrigation depths (25%, 50%, 75%, 100%, and 125%), based on evapotranspiration of the crop (ETc). To measure the results, two fuzzy systems (with triangular and Gaussian membership functions respectively) and a polynomial regression model were developed to perform model validation comparisons. The fuzzy modeling showed a better fit of the data compared to the polynomial regression model, with reduced errors (RMSE with values 6.3 and 6.9 in the fuzzy models versus 8.8 in the regression model) and higher correlation coefficient (0.54 and 0.5 fuzzy versus 0.1 regression). The triangular fuzzy model estimated the best crop yield (31.9 g of fresh phytomass) when using a 100% ETc depth. Also, the curve generated by the fuzzy model accurately represents all the productivity averages in each depth, in addition to this model presenting the smallest errors (compared to the triangular model and the regression model) and the highest R2. However, the Gaussian fuzzy model proved to be more efficient in representing the agronomic reality, as it does not have peaks and valleys, and it is a smooth model in both growth and degrowth.en
dc.description.affiliationSão Paulo State University, School of Agriculture
dc.description.affiliationSão Paulo State University, School of Sciences and Engineering
dc.description.affiliationUnespSão Paulo State University, School of Agriculture
dc.description.affiliationUnespSão Paulo State University, School of Sciences and Engineering
dc.description.sponsorshipFFP
dc.description.sponsorshipLRAGF
dc.description.sponsorshipIdFFP: 303923/2018-0
dc.description.sponsorshipIdLRAGF: 315228/2020-2
dc.format.extent311-318
dc.identifierhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021
dc.identifier.citationEngenharia Agrícola. Associação Brasileira de Engenharia Agrícola, v. 41, n. 3, p. 311-318, 2021.
dc.identifier.doi10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021
dc.identifier.fileS0100-69162021000300311.pdf
dc.identifier.issn0100-6916
dc.identifier.issn1809-4430
dc.identifier.scieloS0100-69162021000300311
dc.identifier.urihttp://hdl.handle.net/11449/211231
dc.language.isoeng
dc.publisherAssociação Brasileira de Engenharia Agrícola
dc.relation.ispartofEngenharia Agrícola
dc.rights.accessRightsAcesso aberto
dc.sourceSciELO
dc.subjectwater optimizationen
dc.subjectfuzzy logicen
dc.subjecttuberousen
dc.subjectGaussianen
dc.titleFUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSISen
dc.typeArtigo
unesp.author.orcid0000-0002-7269-2806[4]

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