Abstract
Rainfall prediction is a crucial event as large portion in India is depends upon it. Since, agriculture is one of the most important constituent on Indian economy and rainfall has an indirect impact on it. In this paper, an attempt has been made to forecast the rainfall activities in terms of pattern matching data analytics work carried over rain fall time series. The major aspect is to study pattern of rainfall over Pachmarhi region. To forecast rainfall of Pachmarhi region data during the years 2000 to 2017 has been collected and Auto Regressive Integrated Moving Average (ARIMA) method was applied to forecast the rainfall for next five years.
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Karmakar, P., Muley, A. A., Kulkarni, G., & Bhalchandra, P. U. (2019). Assessment of Rainfall Pattern Using ARIMA Technique of Pachmarhi Region, Madhya Pradesh, India. In Communications in Computer and Information Science (Vol. 1037, pp. 471–481). Springer Verlag. https://doi.org/10.1007/978-981-13-9187-3_42
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