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Enhancing rainfall forecasting accuracy: a comparative study of ARIMA, ANN and hybrid models using Agro-climatic data

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Agro-climatic data from Pantnagar, spanning the years January 2010to March 2022, is used in the study to assess the forecasting capabilities ofAuto Regressive Integrated Moving Average (ARIMA), Artificial Neural Networks(ANN), and hybrid models.

Abstract

Agro-climatic data from Pantnagar, spanning the years January 2010to March 2022, is used in the study to assess the forecasting capabilities ofAuto Regressive Integrated Moving Average (ARIMA), Artificial Neural Networks(ANN), and hybrid models.

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