Geoprocessing applied to the identification of areas suitable for coffee cultivation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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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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1797052747707580416 |