A fuzzy system to stimulate the planting of beans in Brazil
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Abstract
Beans are traditional elements on the table of the Brazilian population. In spite of this, the production of beans has been falling in Brazil in the last years. This article tries to identify the causes for the lack of motivation for growing beans in Brazil. It also aims to point out which factors are the most relevant for obtaining an expressive plantation and bean harvest. Given this, we were able to develop a system based on fuzzy logic that can be useful for measuring the expected loss until the bean harvest. With the output from such system the farmer can be provided incentives to start planting once that loss is considered acceptable. In order to generate the rules of the system the multicriteria TOPSIS method is used. The prototype fuzzy system explained and proposed in this article can be further expanded by agricultural experts thus leading to a large scale planting of beans.
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References
BILOBROVEC, M. (2005) Sistema especialista em lógica fuzzy para o controle, gerenciamento e manutenção da qualidade em processos de aeração de grãos. Dissertation (Mester in Production Engineering). Ponta Grossa: UTFPR. Available: http://www.pg.utfpr.edu.br/dirppg/ppgep/dissertacoes/arquivos/14/Dissertacao.pdf. Access: 13/07/2016.
CARNEIRO, R. S.; NEDJAH, N.; MOURELLE, L. (2010) M. Aplicação da lógica fuzzy para controle de qualidade. Asociasón Argentina de Mecánica Computacional, v. 29, p. 9125-9151.
CONAB. (2013) Proposta de preços mínimos – Safra 2013/14. Available: http://www.conab.gov.br/OlalaCMS/uploads/arquivos/13_11_22_15_25_35_pm_sociobio_13_14.pdf. Access: 20/03/2017.
CTSBF. (2012) Informações técnicas para o cultivo de feijão na região sul brasileira. Available:http://www.epagri.sc.gov.br/wpcontent/uploads/2013/10/informacoes_tecnicas_cultivo_feijao.pdf. Access: 07/04/2017.
EMBRAPA. (2002) Feijão na economia nacional. Available: http://docsagencia.cnptia.embrapa.br/feijao/doc_135.pdf. Access: 20/03/2017.
HOFFMANN, R. (1995) A diminuição do consumo de feijão no Brasil. Estudos Econômicos, v. 30, n. 2, p. 189-201.
HWANG, C. L.; YOON, K. (1981) Multiple attribute decision making: methods and applications. Berlin: Springer-Verlag.
ISLAM, S.; MANDAL, W. A. (2017) A fuzzy inventory model (eoq model) with unit production cost, time depended holding cost, with-out shortages under a space constraint: a fuzzy parametric geometric programming (fpgp) approach. Independent Journal of Management and Production, v. 8, n. 2, p. 299-318.
LEAL, R. M.; PRADO, R. M. (2008) Desordens nutricionais no feijoeiro por deficiência de macronutrientes, boro e zinco. Revista Brasileira de Ciências Agrárias, v. 3, n. 4, p. 301-306.
MACHADO, M. A. S.; MOREIRA, T. D. R. G.; GOMES, L. F. A. M.; CALDEIRA, A. M.; SANTOS, D. J. (2016) A fuzzy logic application in virtual education. Procedia Computer Science, v. 91, p. 19-26.
MARÇAL, R. F. M.; SUSIN, A. A. (2005) O emprego da inteligêncial artificial como ferramenta de apoio à tomada de decisão na manutenção industrial. In: Seminário Catarinense de Manutenção, 3, Joinville, Anais... Joinville: ABRAMAN, 2005.
OLIVEIRA JUNIOR, H. A.; MACHADO, M. A. S. (2015) Global optimization on topological manifolds with fuzzy adaptive simulated annealing. Procedia Computer Science, v. 55, p. 8-17.
PERUZZI, N. J.; MEYER, A. S.; ROLIM, G. S.; NATALE, W.; SOUZA, H. A.; ROSANE, D. E.; GABRIEL FILHO, L. R. A.; CHAVARETTE, F. R. (2012) Modelagem fuzzy para previsão da prosutividade da goiabeira Paluma em sistema agroindustrial em função da época de poda e do estado nutricional. In: Congresso Brasileiro de Sistemas Fuzzy, 2, Natal, Anais... Natal: UFRN, 2012.
SALLUM, F. S. V. (2015) Sistema especialista de incentivo à tomada de decisão do plantio de feijão em solo brasileiro com o uso da lógica fuzzy. Rio de Janeiro: Ibmec, Dissertation (Master in Administration). Rio de Janeiro: Ibmec/RJ.
SEAB. (2013) Feijão - análise da conjuntura agropecuária. Available: http://www.agricultura.pr.gov.br/arquivos/File/deral/Prognosticos/feijao_2013_14.pdf. Access: 05/04/2017.
SERRAT, B. M.; LIMA, M. R.; GARCIAS, C. E.; FANTIN, E. R.; CARNIERI, I. M. R. S. A.; PINTO, L. S. (2002) Conhecendo o solo. Imprensa Universitária da UFPR. Available: http://www.soloplan.agrarias.ufpr.br/conhecendosolo.pdf. Access: 30/04/2017.