FORECASTING OF POTATO PRODUCTION IN HIMACHAL PRADESH USING ARIMA MODEL
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Abstract
This study focuses on the application of the ARIMA time series model to forecast the future potato production
in Himachal Pradesh based on past data from 1991-92 to 2019-20. The stationarity of the data has been checked using
the augmented dickey Fuller test which showed that the data was non-stationary. Therefore, differencing up to the first
order has been done to make it stationary. Based on various model selection criteria, the best-fitted model was ARIMA
(0, 1, 1) which has been used for the forecast of the next five years i.e., from 2020-2024. From the forecasted figure, potato
production will go from 29612.36 tons to 22543.08 tons in 2024 showing an increasing trend.
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