Geographical mapping of coffee crops by using convolutional networks

Detalhes bibliográficos
Autor(a) principal: RAFAEL MARLON PEREIRA COSTA BAETA CARREIRA
Data de Publicação: 2017
Tipo de documento: Dissertação
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=5712207
id BRCRIS_ab0509f7f991170d2739d4dbce610ce1
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Geographical mapping of coffee crops by using convolutional networks
title Geographical mapping of coffee crops by using convolutional networks
spellingShingle Geographical mapping of coffee crops by using convolutional networks
Coffee classification
Sensoriamento remoto
RAFAEL MARLON PEREIRA COSTA BAETA CARREIRA
title_short Geographical mapping of coffee crops by using convolutional networks
title_full Geographical mapping of coffee crops by using convolutional networks
title_fullStr Geographical mapping of coffee crops by using convolutional networks
Geographical mapping of coffee crops by using convolutional networks
title_full_unstemmed Geographical mapping of coffee crops by using convolutional networks
Geographical mapping of coffee crops by using convolutional networks
title_sort Geographical mapping of coffee crops by using convolutional networks
topic Coffee classification
Sensoriamento remoto
publishDate 2017
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5712207
author_role author
author RAFAEL MARLON PEREIRA COSTA BAETA CARREIRA
author_facet RAFAEL MARLON PEREIRA COSTA BAETA CARREIRA
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/8927799884903333
dc.contributor.advisor1.fl_str_mv JEFERSSON ALEX DOS SANTOS
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2171782600728348
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000288891586
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE MINAS GERAIS
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE MINAS GERAIS
instname_str UNIVERSIDADE FEDERAL DE MINAS GERAIS
dc.publisher.program.fl_str_mv CIÊNCIAS DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv CIÊNCIAS DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESGeographical mapping of coffee crops by using convolutional networksGeographical mapping of coffee crops by using convolutional networksGeographical mapping of coffee crops by using convolutional networksGeographical mapping of coffee crops by using convolutional networksGeographical mapping of coffee crops by using convolutional networksGeographical mapping of coffee crops by using convolutional networksGeographical mapping of coffee crops by using convolutional networksCoffee classification2017masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5712207authorRAFAEL MARLON PEREIRA COSTA BAETA CARREIRAhttp://lattes.cnpq.br/8927799884903333JEFERSSON ALEX DOS SANTOShttp://lattes.cnpq.br/2171782600728348https://orcid.org/0000000288891586UNIVERSIDADE FEDERAL DE MINAS GERAISUNIVERSIDADE FEDERAL DE MINAS GERAISUNIVERSIDADE FEDERAL DE MINAS GERAISCIÊNCIAS DA COMPUTAÇÃOCIÊNCIAS DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv CARREIRA, RAFAEL MARLON PEREIRA COSTA BAETA. Geographical mapping of coffee crops by using convolutional networks. 2017. Tese.
dc.identifier.citation.fl_str_mv CARREIRA, RAFAEL MARLON PEREIRA COSTA BAETA. Geographical mapping of coffee crops by using convolutional networks. 2017. Tese.
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