Uso de ciência de dados para predição do consumo de fertilizantes no Brasil

Resumo


Fertilizantes sao elementos críticos para a produção de alimentos. Prever eficientemente como o consumo de fertilizantes ira se comportar nos próximos anos permite planejar adequadamente o aumento da produção e, com isso, mitigar problemas ambientais decorrentes de tal aumento de produção. Tendo em vista os elementos citados, esta pesquisa explora abordagens de ciência de dados para capacitar a predição do consumo de fertilizantes, atraves daotimização da construção de modelos. Os resultados indicam que o uso das ferramentas analíticas aqui apresentadas pode vir a ser uma maneira de obter previsoes confiáveis para planejar demandas futuras.

Palavras-chave: fertilizantes, análise de dados, predição, aprendizado de máquina, pré-processamento de dados

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Publicado
30/06/2020
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ANDRADE, Adalberto; SALLES, Rebecca; CARVALHO, Flavio; DA SILVA, Eduardo Bezerra; SOARES, Jorge; SOUZA, Cristina; GONZALEZ, Pedro Henrique; OGASAWARA, Eduardo. Uso de ciência de dados para predição do consumo de fertilizantes no Brasil. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 14. , 2020, Cuiabá. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 9-16. ISSN 2763-8774. DOI: https://doi.org/10.5753/bresci.2020.11176.