Abstract
The study developed ARIMA forecasting model for brinjal prices for the markets of Eastern Uttar Pradesh. It was observed that the ARIMA (1,0,1) with non-zero mean was suitable for both Lucknow and Allahabad markets. ARIMA (2,0,0) (0,1,0) (52), ARIMA (1,1,0) (1,1,0) (52), ARIMA (1,1,2), ARIMA (2,0,0) (1,0,0) (52), ARIMA (3,1,1) were suitable for Delhi, Varanasi, Kolkata, Gorakhpur, and Kanpur markets, respectively, based on lowest AIC values. The farmers and other supply chain actors of Eastern Uttar Pradesh could plan their production and marketing activities looking into the price scenario projected for major markets in the study. The highest price of brinjal was likely to prevail in the Kolkata market. To exploit distant markets, the farmers need to organize themselves into groups to exploit economies of scale.
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