CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS

Detalhes bibliográficos
Autor(a) principal: Silva, Estevão Lucas Ramos da
Data de Publicação: 2023
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional do IFPE
Texto Completo: https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1141
Resumo: Esta pesquisa descreve uma análise detalhada sobre a criação de funções de pedotransferência para estimar a Capacidade de Campo e o Ponto de Murcha Permanente. A abordagem adotada utiliza dados provenientes do banco HYBRAS que detém informações de constantes hidráulicas do solo, e segue a metodologia CRISP-DM, no qual oferece uma estrutura padronizada para o desenvolvimento de modelos. O estudo envolve a construção de doze modelos de inteligência artificial, explorando algoritmos que buscam relações tanto lineares quanto n˜ao lineares. O algoritmo de Gradient Boosting demonstrou o melhor desempenho para estimar o Ponto de Murcha Permanente, alcançando um coeficiente de determinação (R2) de 0.74 e um Erro Quadrático Médio (RMSE) de 0.04 cm3/cm3. O projeto destaca a intenção de dar protagonismo aos especialistas durante o desenvolvimento das funções, ressaltando a relevância da participação ativa desses profissionais ao longo de todas as etapas do processo.
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spelling 2024-01-08T17:08:19Z2024-01-08T17:08:19Z2023-12-21SILVA, Estevão Lucas Ramos da. CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o banco de dados HYBRAS. Orientador: Antônio Correia de Sá Barreto Neto. 2023. Artigo (Tecnólogo em Análise e Desenvolvimento de Sistemas) - Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco - Campus Paulista, Paulista, PE, 2023. 44 p.https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1141Esta pesquisa descreve uma análise detalhada sobre a criação de funções de pedotransferência para estimar a Capacidade de Campo e o Ponto de Murcha Permanente. A abordagem adotada utiliza dados provenientes do banco HYBRAS que detém informações de constantes hidráulicas do solo, e segue a metodologia CRISP-DM, no qual oferece uma estrutura padronizada para o desenvolvimento de modelos. O estudo envolve a construção de doze modelos de inteligência artificial, explorando algoritmos que buscam relações tanto lineares quanto n˜ao lineares. O algoritmo de Gradient Boosting demonstrou o melhor desempenho para estimar o Ponto de Murcha Permanente, alcançando um coeficiente de determinação (R2) de 0.74 e um Erro Quadrático Médio (RMSE) de 0.04 cm3/cm3. O projeto destaca a intenção de dar protagonismo aos especialistas durante o desenvolvimento das funções, ressaltando a relevância da participação ativa desses profissionais ao longo de todas as etapas do processo.This research describes a detailed analysis on the development of pedotransfer functions to estimate Field Capacity and Permanent Wilting Point. The adopted approach utilizes data from the HYBRAS database, which holds information on soil hydraulic constants, and follows the CRISP-DM methodology, providing a standardized framework for model development. The study involves the construction of twelve artificial intelligence models, exploring algorithms that seek both linear and non-linear relationships. The Gradient Boosting algorithm demonstrated the best performance in estimating the Permanent Wilting Point, achieving a coefficient of determination (R²) of 0.74 and a Root Mean Square Error (RMSE) of 0.04 cm³/cm³. The project emphasizes the intention to empower experts during the development of the functions, highlighting the relevance of active participation of these professionals throughout all stages of the process.44 p.BARROS, A. H. C. et al. Pedotransfer functions to estimate water retention parameters of soils in northeastern brazil. Revista Brasileira de Ciˆencia do Solo, Sociedade Brasileira de Ciˆencia do Solo, v. 37, p. 379–391, 4 2013. ISSN 0100-0683. Dispon´ıvel em: ⟨http: //www.scielo.br/scielo.php?script=sci arttext&pid=S0100-06832013000200009&lng=en&tlng=en⟩. 3, 10, 12, 13 BERRAR, D. Cross-validation. In: . 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Dispon´ıvel em: ⟨http://www.ncbi.nlm.nih.gov/pubmed/25664257http: //www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4318006⟩. 9An error occurred on the license name.An error occurred getting the license - uri.info:eu-repo/semantics/openAccessCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAOCRISP-DMHybrasFunções de PedotransferênciaUmidade do solo e Mineração de DadosCRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRASinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBarreto Neto, Antônio Correia de Sáhttp://lattes.cnpq.br/2773609778338983Queiroz, Anderson Apolônio de LiraBarros, Alexandre Hugo Cezarhttp://lattes.cnpq.br/ 0652960425058437http://lattes.cnpq.br/ 7312779971785780http://lattes.cnpq.br/0070636576760827Silva, Estevão Lucas Ramos daBrasilPaulistaporreponame:Repositório Institucional do IFPEinstname:Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco (IFPE)instacron:IFPEORIGINALCRISP_DM_no_Desenvolvimento_de_Funções_de_Pedotransferência__Um_Estudo_de_Caso_com_o_Banco_de_Dados_HYBRAS.pdfCRISP_DM_no_Desenvolvimento_de_Funções_de_Pedotransferência__Um_Estudo_de_Caso_com_o_Banco_de_Dados_HYBRAS.pdfArtigo principalapplication/pdf7885849https://repositorio.ifpe.edu.br/xmlui/bitstream/123456789/1141/1/CRISP_DM_no_Desenvolvimento_de_Fun%c3%a7%c3%b5es_de_Pedotransfer%c3%aancia__Um_Estudo_de_Caso_com_o_Banco_de_Dados_HYBRAS.pdf021ef9ad36b142bff5041b0c3fef4267MD51open accessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.pt_BR.fl_str_mv CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
title CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
spellingShingle CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
Silva, Estevão Lucas Ramos da
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
CRISP-DM
Hybras
Funções de Pedotransferência
Umidade do solo e Mineração de Dados
title_short CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
title_full CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
title_fullStr CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
title_full_unstemmed CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
title_sort CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o Banco de Dados HYBRAS
author Silva, Estevão Lucas Ramos da
author_facet Silva, Estevão Lucas Ramos da
author_role author
dc.contributor.advisor1.fl_str_mv Barreto Neto, Antônio Correia de Sá
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2773609778338983
dc.contributor.referee1.fl_str_mv Queiroz, Anderson Apolônio de Lira
dc.contributor.referee2.fl_str_mv Barros, Alexandre Hugo Cezar
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/ 0652960425058437
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/ 7312779971785780
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0070636576760827
dc.contributor.author.fl_str_mv Silva, Estevão Lucas Ramos da
contributor_str_mv Barreto Neto, Antônio Correia de Sá
Queiroz, Anderson Apolônio de Lira
Barros, Alexandre Hugo Cezar
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
topic CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
CRISP-DM
Hybras
Funções de Pedotransferência
Umidade do solo e Mineração de Dados
dc.subject.por.fl_str_mv CRISP-DM
Hybras
Funções de Pedotransferência
Umidade do solo e Mineração de Dados
description Esta pesquisa descreve uma análise detalhada sobre a criação de funções de pedotransferência para estimar a Capacidade de Campo e o Ponto de Murcha Permanente. A abordagem adotada utiliza dados provenientes do banco HYBRAS que detém informações de constantes hidráulicas do solo, e segue a metodologia CRISP-DM, no qual oferece uma estrutura padronizada para o desenvolvimento de modelos. O estudo envolve a construção de doze modelos de inteligência artificial, explorando algoritmos que buscam relações tanto lineares quanto n˜ao lineares. O algoritmo de Gradient Boosting demonstrou o melhor desempenho para estimar o Ponto de Murcha Permanente, alcançando um coeficiente de determinação (R2) de 0.74 e um Erro Quadrático Médio (RMSE) de 0.04 cm3/cm3. O projeto destaca a intenção de dar protagonismo aos especialistas durante o desenvolvimento das funções, ressaltando a relevância da participação ativa desses profissionais ao longo de todas as etapas do processo.
publishDate 2023
dc.date.issued.fl_str_mv 2023-12-21
dc.date.accessioned.fl_str_mv 2024-01-08T17:08:19Z
dc.date.available.fl_str_mv 2024-01-08T17:08:19Z
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.citation.fl_str_mv SILVA, Estevão Lucas Ramos da. CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o banco de dados HYBRAS. Orientador: Antônio Correia de Sá Barreto Neto. 2023. Artigo (Tecnólogo em Análise e Desenvolvimento de Sistemas) - Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco - Campus Paulista, Paulista, PE, 2023. 44 p.
dc.identifier.uri.fl_str_mv https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1141
identifier_str_mv SILVA, Estevão Lucas Ramos da. CRISP-DM no desenvolvimento de funções de pedotransferência: um estudo de caso com o banco de dados HYBRAS. Orientador: Antônio Correia de Sá Barreto Neto. 2023. Artigo (Tecnólogo em Análise e Desenvolvimento de Sistemas) - Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco - Campus Paulista, Paulista, PE, 2023. 44 p.
url https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1141
dc.language.iso.fl_str_mv por
language por
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