article Open AccessTop 10% cited
Forecasting wheat production in India: An ARIMA modelling approach
Journal of Pharmacognosy and Phytochemistry · 2019 · Vol. 8(1) · pp. 2158–2165
Abstract
Box-Jenkins’ ARIMA model: A time series modelling approach has been used to forecast wheat production for India. ARIMA (1,1,0) model was found to be the best ARIMA model for the present study. The efforts were made to forecast, the future wheat production for a period up to ten years as accurate as possible, by fitting ARIMA (1,1,0) model to our time series data. The forecast results have shown that the annual wheat production will grow in 2026-27. The wheat production will continuously grow with an average growth rate of approximately 4% year by year.
Agricultural Economics and PracticesForecasting Techniques and ApplicationsStock Market Forecasting MethodsAutoregressive integrated moving averageBox–JenkinsProduction (economics)Time seriesSeries (stratigraphy)EconometricsStatisticsMathematicsEconomics
Citations
39
FWCI
14.02
field-weighted impact
References
0
Percentile
99%
vs. same field & year
Citations per year
Cited by
An analysis of growth and instability in area, production, yield and price behaviour of rice in India
International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
Related articles
Forecasting of Barly production in India using ARIMA Model
Journal of Pharmacognosy and Phytochemistry · 2020 · 1 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
