Geotechnologies applied to remote coffee mapping and digital currency investment simulations
DOI:
https://doi.org/10.18406/2316-1817v14n120221710Abstract
Coffee growing, an activity of great economic and social importance for the country, is a segment of agrobusiness that is prominent in the economy of small towns in the south of Minas Gerais, as it involves family farming and the permanence of the population in the countryside. This work corroborates the development and adaptation of methodologies based on geotechnologies that can significantly contribute to the remote mapping of coffee farming and strengthening the permanence of the rural population by providing an online platform to simulate the negotiation of their coffee production. The municipality of Inconfidentes was selected as the study area. In the development of the work, orbital images from the Sentinel-2A satellite were used. The images were classified in a supervised way with the Random Forest classifier on the Google Earth Engine (GEE) platform and later used as a data source in the online platform that was developed under the Leaflet API, in which it is possible to simulate the negotiation of coffee plots involving the Coffee Coin cryptocurrency. The results showed that it was possible to identify and map the areas cultivated with coffee through Remote Sensing and that the online platform can help in the planning of new investments in coffee farming, in addition to showing an overview of the economic importance of coffee for the municipality.
References
BOLFE, E. L.; CASTRO JORGE, L. A.; SANCHES, I. D. Tendências, desafios e oportunidades da agricultura digital no Brasil. Revista Eletrônica Competências Digitais para Agricultura Familiar, v. 7, n. 2, p. 15–36, 2021. Disponível em: https://owl.tupa.unesp.br/recodaf/index.php/recodaf/article/view/147. Acesso em: 20 set. de 2022.
CONAB, Companhia Nacional de Abastecimento. Acompanhamento da safra brasileira de café: 1º Levantamento de Café - Safra 2021. Brasília, DF. 2021. v. 8. Disponível em: https://www.conab.gov.br/info-agro/safras/cafe/boletim-da-safra-de-cafe. Acesso em: 25 jun. de 2022.
CONAB, Companhia Nacional de Abastecimento. Acompanhamento da safra brasileira de café: 2º Levantamento de Café - Safra 2022. Brasília, DF. 2022. v. 9. Disponível em: https://www.conab.gov.br/info-agro/safras/cafe/boletim-da-safra-de-cafe. Acesso em: 25 jun. de 2022.
CONGALTON, R. G.; GREEN, K. Assessing the accuracy of remotely sensed data: principles and practices. Boca Raton, FL: CRC press, 1999. Disponível em: https://www.taylorfrancis.com/books/mono/10.1201/9780429052729/. Acesso em: 20 set. de 2022.
IBGE. Pesquisa Nacional por Amostra de Domicílios: síntese de indicadores. Rio de
Janeiro, RJ: IBGE, 2015. Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv98887.pdf. Acesso em: 20 set. de 2022.
MINASUL. Coffee Coin, 2017. Disponível em: https://www.minasul.com.br/coffeecoin. Acesso em: 20 set. de 2022.
MINASUL. COFFEE COIN. Whitepaper, 2021. Disponível em: https://www.coffeecoin.com.br/Files/pdf/Whitepaper.pdf. Acesso em: 20 set. de 2022.
MITA, M.; ITO, K.; OHSAWA, S.; TANAKA, H. What is stablecoin?: a survey on price stabilization mechanisms for decentralized payment systems. In: IEEE. 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI). Marrakesh,
Morocco: IEEE, 2019. P. 60–66. Disponível em:
https://easychair.org/publications/preprint_download/4rh9. Acesso em: 20 set. de 2022.
MOREIRA, M. A. Fundamentos do sensoriamento remoto e metodologias de aplicação. Viçosa, MG: UFV, 2003. ISBN: 978-85-7269-381-3.
MOREIRA, M. A.; ADAMI, M.; RUDORFF, B. F. T. Análise espectral e temporal da
cultura do café em imagens Landsat. Pesquisa Agropecuária Brasileira, v. 39, n. 3, p. 223–231, 2004. Disponível em: https://www.scielo.br/j/pab/a/RpYKM4WSMDVyJTHd9CF7Fvf/. Acesso em: 20 set. de 2022.
MOREIRA, M. A.; BARROS, M. A.; FARIA, V. G. C.; ADAMI, M. Tecnologia de informação: imagens de satélite para o mapeamento de áreas de café de Minas Gerais. Informe Agropecuário, v. 28, n. 241, p. 27–37, 2007. Disponível em: http://www.dsr.inpe.br/laf/cafesat/artigos/TecnologiaInformacaoCafeMG.pdf. Acesso em: 20 set. de 2022.
MOREIRA, M. A.; BARROS, M. A.; RUDORFF, B. F. T. Geotecnologias no mapeamento da cultura do café em escala municipal. Sociedade & Natureza, v. 20, n. 1, p. 101–110, 2008. Disponível em: https://www.scielo.br/j/sn/a/B3nDXFTRJSCCB6hMC7K3gDf/. Acesso em: 20 set. de 2022.
OLOFSSON, P.; FOODY, G. M.; HEROLD, M.; STEHMAN, S. V.; WOODCOCK, C. E.; WULDER, M. A. Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment, v. 148, s.n., p. 42–57, 2014. Disponível
em: https://www.sciencedirect.com/science/article/pii/S0034425714000704. Acesso em:
set. de 2022.
PLANET, T. Planet application program interface: in space for life on earth. San Francisco, CA: PLANET, 2017. Disponível em: https://api.planet.com. Acesso em: 20 set. de 2022.
QUEIROZ, T. B.; SOUSA, R. d.; BALDIN, T.; BATISTA, F. d.; MARCHESAN, J.; PEDRALI, L. D.; PEREIRA, R. S. Avaliação do desempenho da classificação do uso e cobertura da terra a partir de imagens Landsat 8 e Rapideye na região central do Rio Grande do Sul. Geosciences, v. 36, n. 3, p. 569–578, 2017. Disponível em: https://www.periodicos.rc.biblioteca.unesp.br/index.php/geociencias/article/view/11910. Acesso em: 20 set. de 2022.
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