FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021 http://hdl.handle.net/11449/211231 |
Resumo: | The 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. |
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FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSISwater optimizationfuzzy logictuberousGaussianThe 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.FFPLRAGFSão Paulo State University, School of AgricultureSão Paulo State University, School of Sciences and EngineeringSão Paulo State University, School of AgricultureSão Paulo State University, School of Sciences and EngineeringFFP: 303923/2018-0LRAGF: 315228/2020-2Associação Brasileira de Engenharia AgrícolaUniversidade Estadual Paulista (Unesp)Boso, Ana C. M. R. [UNESP]Cremasco, Camila P. [UNESP]Putti, Fernando F. [UNESP]Gabriel, Luís R. A. [UNESP]2021-07-14T10:21:14Z2021-07-14T10:21:14Z2021-06-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article311-318application/pdfhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021Engenharia Agrícola. Associação Brasileira de Engenharia Agrícola, v. 41, n. 3, p. 311-318, 2021.0100-69161809-4430http://hdl.handle.net/11449/21123110.1590/1809-4430-Eng.Agric.v41n3p311-318/2021S0100-69162021000300311S0100-69162021000300311.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agrícolainfo:eu-repo/semantics/openAccess2023-11-16T06:09:36Zoai:repositorio.unesp.br:11449/211231Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-16T06:09:36Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS |
title |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS |
spellingShingle |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS Boso, Ana C. M. R. [UNESP] water optimization fuzzy logic tuberous Gaussian |
title_short |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS |
title_full |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS |
title_fullStr |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS |
title_full_unstemmed |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS |
title_sort |
FUZZY MODELING OF THE EFFECTS OF DIFFERENT IRRIGATION DEPTHS ON THE RADISH CROP. PART I: PRODUCTIVITY ANALYSIS |
author |
Boso, Ana C. M. R. [UNESP] |
author_facet |
Boso, Ana C. M. R. [UNESP] Cremasco, Camila P. [UNESP] Putti, Fernando F. [UNESP] Gabriel, Luís R. A. [UNESP] |
author_role |
author |
author2 |
Cremasco, Camila P. [UNESP] Putti, Fernando F. [UNESP] Gabriel, Luís R. A. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Boso, Ana C. M. R. [UNESP] Cremasco, Camila P. [UNESP] Putti, Fernando F. [UNESP] Gabriel, Luís R. A. [UNESP] |
dc.subject.por.fl_str_mv |
water optimization fuzzy logic tuberous Gaussian |
topic |
water optimization fuzzy logic tuberous Gaussian |
description |
The 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-14T10:21:14Z 2021-07-14T10:21:14Z 2021-06-25 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021 Engenharia Agrícola. Associação Brasileira de Engenharia Agrícola, v. 41, n. 3, p. 311-318, 2021. 0100-6916 1809-4430 http://hdl.handle.net/11449/211231 10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021 S0100-69162021000300311 S0100-69162021000300311.pdf |
url |
http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021 http://hdl.handle.net/11449/211231 |
identifier_str_mv |
Engenharia Agrícola. Associação Brasileira de Engenharia Agrícola, v. 41, n. 3, p. 311-318, 2021. 0100-6916 1809-4430 10.1590/1809-4430-Eng.Agric.v41n3p311-318/2021 S0100-69162021000300311 S0100-69162021000300311.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Engenharia Agrícola |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
311-318 application/pdf |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1797789721526534144 |