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Anomaly Detection in Time Series for Smart Agriculture

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  • Vladislav Bína, Jitka Bartosová, Vladimir Pribyl

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  • Vladislav Bína, Jitka Bartosová, Vladimir Pribyl, 2022. "Anomaly Detection in Time Series for Smart Agriculture," International Journal of Management, Knowledge and Learning, ToKnowPress, vol. 11, pages 177-186.
    • Handle: RePEc:tkp:jouijm:v:11:y:2022:p:177-186
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    2. Sean J. Taylor & Benjamin Letham, 2018. "Forecasting at Scale," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 37-45, January.
    3. Grolemund, Garrett & Wickham, Hadley, 2011. "Dates and Times Made Easy with lubridate," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i03).
    4. C. Chatfield, 1978. "The Holt‐Winters Forecasting Procedure," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(3), pages 264-279, November.
    5. Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman, 2019. "Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 804-819, April.
    6. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
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