Data reduction based on machine learning algorithms for fog computing in IoT smart agriculture

Autor: Franklin M. Ribeiro Junior, Reinaldo A.C. Bianchi, Ronaldo C. Prati, Kari Kolehmainen, Juha-Pekka Soininen, Carlos A. Kamienski

Publikováno v: Ribeiro Junior, F M, Bianchi, R A C, Prati, R C, Kolehmainen, K, Soininen, J P & Kamienski, C A 2022, ' Data reduction based on machine learning algorithms for fog computing in IoT smart agriculture ', Biosystems Engineering, vol. 223, no. Part B, pp. 142-158 . https://doi.org/10.1016/j.biosystemseng.2021.12.021

Smart agriculture applications that analyse and manage agricultural yield using IoT systems may suffer from intermittent operation due to cloud disconnections commonly occurring in rural areas. A fog computing solution enables the IoT system to proce

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https://cris.vtt.fi/en/publications/26b9ffa5-4134-4f19-976d-1b133f689c0e