Geoprocessing applied to the identification of areas suitable for coffee cultivation

Detalhes bibliográficos
Autor(a) principal: Ferreira, Marinaldo Loures
Data de Publicação: 2021
Outros Autores: Andrade, André Medeiros de, Santiago, Wesley Esdras
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/14050
Resumo: Brazil is the largest coffee producer in the world, especially in Minas Gerais, responsible for approximately 50% of the national production of coffee beans. For the implementation of coffee plantations, it is necessary a good planning and technical knowledge of the environmental variables, information that can be obtained with the techniques of geoprocessing, helping in the decision-making. This work aims to map the areas conducive to the cultivation of coffee species Coffea Arabica L. in the municipality of Caratinga, Minas Gerais. The spatial analysis used data from Mapbiomas, Portal do Café de Minas and IDE-Sisema, information associated with applications of technical and legal restrictions, enabled by the multicriterio analysis of geoprocessing. The result shows that Caratinga has great potential for implantation of new arabica coffee plantations, possessing 38.3% of the territory apt to the grain cultivation. It is concluded that the methods used were able to delimit the potential areas for planting the crop, proving to be an important tool to assist in this type of decision-making.
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spelling Geoprocessing applied to the identification of areas suitable for coffee cultivationGeoprocesamiento aplicado a la identificación de áreas aptas para el cultivo de caféGeoprocessamento aplicado à identificação de áreas propícias ao cultivo de caféCaféCartografíaGeoprocesamiento.CoffeeMappingGeoprocessing.CaféMapeamentoGeoprocessamento.Brazil is the largest coffee producer in the world, especially in Minas Gerais, responsible for approximately 50% of the national production of coffee beans. For the implementation of coffee plantations, it is necessary a good planning and technical knowledge of the environmental variables, information that can be obtained with the techniques of geoprocessing, helping in the decision-making. This work aims to map the areas conducive to the cultivation of coffee species Coffea Arabica L. in the municipality of Caratinga, Minas Gerais. The spatial analysis used data from Mapbiomas, Portal do Café de Minas and IDE-Sisema, information associated with applications of technical and legal restrictions, enabled by the multicriterio analysis of geoprocessing. The result shows that Caratinga has great potential for implantation of new arabica coffee plantations, possessing 38.3% of the territory apt to the grain cultivation. It is concluded that the methods used were able to delimit the potential areas for planting the crop, proving to be an important tool to assist in this type of decision-making.Brasil es el mayor productor de café del mundo, especialmente Minas Gerais, responsable de aproximadamente el 50% de la producción nacional del grano. Para la implantación de cultivos de café es necesaria una buena planificación y conocimiento técnico de las variables ambientales, información que se puede obtener con técnicas de geoprocesamiento, ayudando en la toma de decisiones. Este trabajo tiene como objetivo mapear las áreas aptas para el cultivo de café de la especie Coffea Arabica L. en el municipio de Caratinga, Minas Gerais. El análisis espacial utilizó datos de Mapbiomas, Portal do Café de Minas e IDE-Sisema, información asociada a aplicaciones de restricciones técnicas y legales, posibilitadas por el análisis multicriterio de geoprocesamiento. El resultado demuestra que Caratinga tiene un gran potencial para la implantación de nuevos cultivos de café Arábica, teniendo un 38,3% del territorio apto para el cultivo del grano. Se concluye que los métodos utilizados permitieron delimitar las áreas potenciales para la siembra del cultivo, demostrando que es una herramienta importante para ayudar en este tipo de toma de decisiones.O Brasil é o maior produtor de café no mundo, com destaque para Minas Gerais, responsável por aproximadamente 50% da produção nacional do grão. Para implantação de lavouras de café é preciso um bom planejamento e conhecimento técnico das variáveis ambientais, informações estas, que podem ser obtidas com as técnicas de geoprocessamento, auxiliando nas tomadas de decisões. Este trabalho tem como objetivo mapear as áreas propícias ao cultivo do café da espécie Coffea Arabica L. no município de Caratinga, Minas Gerais. A análise espacial utilizou dados do Mapbiomas, Portal do Café de Minas e IDE-Sisema, informações estas, associadas a aplicações de restrições técnicas e legais, possibilitado pela análise multicritérios do geoprocessamento. O resultado demonstra que Caratinga tem grande potencial para implantação de novas lavouras de café arábica, possuindo 38,3% do território apto ao cultivo do grão. Conclui-se que os métodos utilizados foram capazes de delimitar as áreas potenciais para o plantio da cultura, evidenciando ser uma importante ferramenta para auxiliar nesse tipo de tomada de decisão.Research, Society and Development2021-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1405010.33448/rsd-v10i4.14050Research, Society and Development; Vol. 10 No. 4; e17410414050Research, Society and Development; Vol. 10 Núm. 4; e17410414050Research, Society and Development; v. 10 n. 4; e174104140502525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/14050/12544Copyright (c) 2021 Marinaldo Loures Ferreira; André Medeiros de Andrade; Wesley Esdras Santiagohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFerreira, Marinaldo LouresAndrade, André Medeiros deSantiago, Wesley Esdras2021-04-25T11:21:26Zoai:ojs.pkp.sfu.ca:article/14050Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:35:15.845505Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Geoprocessing applied to the identification of areas suitable for coffee cultivation
Geoprocesamiento aplicado a la identificación de áreas aptas para el cultivo de café
Geoprocessamento aplicado à identificação de áreas propícias ao cultivo de café
title Geoprocessing applied to the identification of areas suitable for coffee cultivation
spellingShingle Geoprocessing applied to the identification of areas suitable for coffee cultivation
Ferreira, Marinaldo Loures
Café
Cartografía
Geoprocesamiento.
Coffee
Mapping
Geoprocessing.
Café
Mapeamento
Geoprocessamento.
title_short Geoprocessing applied to the identification of areas suitable for coffee cultivation
title_full Geoprocessing applied to the identification of areas suitable for coffee cultivation
title_fullStr Geoprocessing applied to the identification of areas suitable for coffee cultivation
title_full_unstemmed Geoprocessing applied to the identification of areas suitable for coffee cultivation
title_sort Geoprocessing applied to the identification of areas suitable for coffee cultivation
author Ferreira, Marinaldo Loures
author_facet Ferreira, Marinaldo Loures
Andrade, André Medeiros de
Santiago, Wesley Esdras
author_role author
author2 Andrade, André Medeiros de
Santiago, Wesley Esdras
author2_role author
author
dc.contributor.author.fl_str_mv Ferreira, Marinaldo Loures
Andrade, André Medeiros de
Santiago, Wesley Esdras
dc.subject.por.fl_str_mv Café
Cartografía
Geoprocesamiento.
Coffee
Mapping
Geoprocessing.
Café
Mapeamento
Geoprocessamento.
topic Café
Cartografía
Geoprocesamiento.
Coffee
Mapping
Geoprocessing.
Café
Mapeamento
Geoprocessamento.
description Brazil is the largest coffee producer in the world, especially in Minas Gerais, responsible for approximately 50% of the national production of coffee beans. For the implementation of coffee plantations, it is necessary a good planning and technical knowledge of the environmental variables, information that can be obtained with the techniques of geoprocessing, helping in the decision-making. This work aims to map the areas conducive to the cultivation of coffee species Coffea Arabica L. in the municipality of Caratinga, Minas Gerais. The spatial analysis used data from Mapbiomas, Portal do Café de Minas and IDE-Sisema, information associated with applications of technical and legal restrictions, enabled by the multicriterio analysis of geoprocessing. The result shows that Caratinga has great potential for implantation of new arabica coffee plantations, possessing 38.3% of the territory apt to the grain cultivation. It is concluded that the methods used were able to delimit the potential areas for planting the crop, proving to be an important tool to assist in this type of decision-making.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-04
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/14050
10.33448/rsd-v10i4.14050
url https://rsdjournal.org/index.php/rsd/article/view/14050
identifier_str_mv 10.33448/rsd-v10i4.14050
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/14050/12544
dc.rights.driver.fl_str_mv Copyright (c) 2021 Marinaldo Loures Ferreira; André Medeiros de Andrade; Wesley Esdras Santiago
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Marinaldo Loures Ferreira; André Medeiros de Andrade; Wesley Esdras Santiago
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 4; e17410414050
Research, Society and Development; Vol. 10 Núm. 4; e17410414050
Research, Society and Development; v. 10 n. 4; e17410414050
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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