Aplicações da tecnologia de big data na agricultura: uma revisão sistemática da literatura

Thiago Shoji Obi Tamachiro, Fernanda Robes de Oliveira, Jéssika Alvares Coppi Arruda Gayer, Mariana Kleina, Marcos Augusto Mendes Marques

Resumo


A indústria 4.0 é uma terminologia muito utilizada nos dias atuais. Dentre as tecnologias que compõem esta nova tendência, tem-se o Big Data, que é um amplo conjunto de dados com um grande número de variáveis, num alto volume e em alta velocidade. O objetivo deste artigo foi realizar uma revisão sistemática da literatura referente aos assuntos atuais que abordam a utilização de Big Data no contexto da Agricultura. A revisão sistemática da literatura teve por finalidade verificar como este setor analisa e processa o grande volume de dados gerados. Desta forma, houve uma busca por artigos publicados na base Web of Science e Scopus nos períodos entre 2016 a 2019 que continham as palavras Big Data e agricultura. O material encontrado foi analisado, compilado e apresentado em forma de quadro com um pequeno resumo sobre o que abordam os artigos. Como resultado, observou que grande parte dos estudos referem à utilização de técnicas de análise e aprendizado de máquina dos conjuntos de dados provenientes do Big Data, em que propõem soluções aos problemas decorrentes da agricultura. Além disso, este estudo serve como um referencial sobre as técnicas de Big Data mais utilizadas na Agricultura visando o aumento da produtividade e melhores tomadas de decisão.


Palavras-chave


Big Data; Agricultura; Indústria 4.0.

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Referências


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DOI: https://doi.org/10.5585/exactaep.2021.17765

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