Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques

Detalhes bibliográficos
Autor(a) principal: Danilo Ricardo Yamane
Data de Publicação: 2018
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6926656
id BRCRIS_4af83ebbd749f002c4784b176983a331
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
title Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
spellingShingle Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
análise multivariada
multivariate analysis
Danilo Ricardo Yamane
title_short Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
title_full Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
title_fullStr Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
title_full_unstemmed Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
title_sort Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques
topic análise multivariada
multivariate analysis
publishDate 2018
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6926656
author_role author
author Danilo Ricardo Yamane
author_facet Danilo Ricardo Yamane
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3885872609106704
dc.contributor.advisor1.fl_str_mv ARTHUR BERNARDES CECILIO FILHO
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2938155685114592
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000267065496
dc.publisher.none.fl_str_mv UNIVERSIDADE ESTADUAL PAULISTA JÚLIO DE MESQUITA FILHO ( JABOTICABAL )
publisher.none.fl_str_mv UNIVERSIDADE ESTADUAL PAULISTA JÚLIO DE MESQUITA FILHO ( JABOTICABAL )
instname_str UNIVERSIDADE ESTADUAL PAULISTA JÚLIO DE MESQUITA FILHO ( JABOTICABAL )
dc.publisher.program.fl_str_mv FITOTECNIA (PRODUÇÃO VEGETAL)
dc.description.course.none.fl_txt_mv FITOTECNIA (PRODUÇÃO VEGETAL)
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESNutrient diagnosis of orange crops applying compositional data analysis and machine learning techniquesNutrient diagnosis of orange crops applying compositional data analysis and machine learning techniquesNutrient diagnosis of orange crops applying compositional data analysis and machine learning techniquesNutrient diagnosis of orange crops applying compositional data analysis and machine learning techniquesNutrient diagnosis of orange crops applying compositional data analysis and machine learning techniquesNutrient diagnosis of orange crops applying compositional data analysis and machine learning techniquesNutrient diagnosis of orange crops applying compositional data analysis and machine learning techniquesanálise multivariada2018doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6926656authorDanilo Ricardo Yamanehttp://lattes.cnpq.br/3885872609106704ARTHUR BERNARDES CECILIO FILHOhttp://lattes.cnpq.br/2938155685114592https://orcid.org/0000000267065496UNIVERSIDADE ESTADUAL PAULISTA JÚLIO DE MESQUITA FILHO ( JABOTICABAL )UNIVERSIDADE ESTADUAL PAULISTA JÚLIO DE MESQUITA FILHO ( JABOTICABAL )UNIVERSIDADE ESTADUAL PAULISTA JÚLIO DE MESQUITA FILHO ( JABOTICABAL )FITOTECNIA (PRODUÇÃO VEGETAL)FITOTECNIA (PRODUÇÃO VEGETAL)Portal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv Yamane, Danilo Ricardo. Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques. 2018. Tese.
dc.identifier.citation.fl_str_mv Yamane, Danilo Ricardo. Nutrient diagnosis of orange crops applying compositional data analysis and machine learning techniques. 2018. Tese.
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