Rice Production Trends and Forecasting in Manipur: A Time-Series Analysis
Keywords:
Forecast, Modelling, Rice Yield, ARIMA, Compound Growth Rate, Exponential Smoothing.Abstract
This study investigates the fluctuations in rice production, cultivated area, and productivity, aiming to identify key contributing factors and develop strategies for future improvements. By analysing secondary time-series data from the Economic Survey, Manipur 2021-2022, published by the Directorate of Economics and Statistics, Government of Manipur, the research employs Univariate Auto-Regressive Integrated Moving Average (ARIMA) models, compound growth rate models, and exponential smoothing techniques to assess trends and forecast future patterns.
References
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