Time Series Modeling and Forecasting of Finger Millet Cultivation Area, Production and Productivity in Chhattisgarh, India: The Box Jenkins Methodology
Ram Prasad Chandra, Bhagawat Prasad Sahu
Asian Research Journal of Agriculture · pp. 18–30 · Published 26 Aug 2024
10.9734/arja/2024/v17i4494Abstract
Chhattisgarh has taken important steps towards promoting millets cultivation and improving the livelihood of farmers. To increase millets production in Chhattisgarh, the state government launched the Millet Mission in September 2021. This mission has been started with a view to make Chhattisgarh the ‘millet hub of India’. The present study was conducted on time series modelling and forecasting of finger millet crops in Chhattisgarh India using Box Jenkins methodology and used historical data on currently cultivated area, production and yield of finger millet crops. The time series data was collected from 2001 to 2023, and analysis of the study was carried out using path analysis and Box Jenkins ARIMA model; and among various 20 models the best and suitable ARIMA (0, 1, 2), (3, 1, 1) and (2, 0, 4) model was selected based on AIC, BIC, MAPE, RMSE, MAE. With the help of the selected appropriate model, the cultivation area, production and yield of finger millet cultivation in Chhattisgarh was forecasted for the year 2024 to 2030. But marvellous, diminishing and fluctuating trend was observed in finger millet cultivation area and production over the forecast period. Whereas increasing and stochastic trend was observed in finger millet yield over the forecast period.
References (26)
- 1 A new look at the statistical model identification [DOI]
- 2 Estimating the Dimension of a Model [DOI]
- 3 Distribution of the Estimators for Autoregressive Time Series with a Unit Root [DOI]
- 4 Time Series Analysis: Forecasting and Control [DOI]
- 5 Error measures for generalizing about forecasting methods: Empirical comparisons [DOI]
- 6 Industrial and business forecasting methods
- 7 Optimal combination forecasts for hierarchical time series [DOI]
- 8 Using the R-MAPE index as a resistant measure of forecast accuracy [DOI]
- 9 On the asymmetry of the symmetric MAPE [DOI]
- 10 Hierarchical forecasts for Australian domestic tourism [DOI]
- 11 Diagnostics of Sorghum and Pearl Millet Grains-based Nutrition in India
- 12 Applicability of the Revised Mean Absolute Percentage Errors (MAPE) Approach to Some Popular Normal and Non-normal Independent Time Series [DOI]
- 13 Empirical Analysis for Crop Yield Forecasting in India [DOI]
- 14 Growth dynamics and forecasting of minor millets in India: A time series analysis [DOI]
- 15 Growth dynamics and forecasting of finger millet (Ragi) production in Karnataka [DOI]
- 16 Time Series Forecasting Using ARIMA and ANN Models for Production of Pearl Millet (BAJRA) Crop of Karnataka, India [DOI]
- 17 Past trends and forecasting in area, production and yield of pearl millet in India using ARIMA model.
- 18 Forecasting of Ragi Production in Koraput Districts of Odisha, India [DOI]
- 19 Forecasting price index of finger millet (Eleusine coracana) in India under policy interventions [DOI]
- 20 Econometric Modeling for High Impact Sustainable Organic Tea Production: The Box-Jenkins Approach [DOI]
- 21 Forecasting of pearl millet productivity in Gujarat under time series framework [DOI]
- 22 Stochastic ARIMA Model for Pennisetum glaucum Production in India [DOI]
- 23 Modelling and forecasting sorghum (Sorghum bicolor) production in India using hierarchical time-series models [DOI]
- 24 Forecasting pearl millet production and prices in Rajasthan, India: An ARIMA approach [DOI]
- 25 Econometric Modeling and Forecasting of Arabica and Robusta Coffee Production for Sustainable Agriculture Development [DOI]
- 26 A better measure of relative prediction accuracy for model selection and model estimation
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