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In the present paper, Autoregressive Integrated Moving Average (ARIMA) models developed to forecastthe prices of potato using time series data of eighteen years from 2002-2019. The best models selectedby comparing Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), Mean AbsolutePercent Error (MAPE), and Root Mean Square Error (RMSE). The study revealed that ARIMA (1,1,2),ARIMA (2,1,1)(0,0,2)[12], ARIMA (2,1,2), ARIMA (1,1,4)(0,0,1)[12], ARIMA (1,1,1)(0,1,2)[12], ARIMA (0,1,0)(0,1,1)[12], and ARIMA (3,1,3) were the best fitted models for forecasting of price of potato for the states ofUtter Pradesh, West Bengal, Madhya Pradesh, Gujarat, Punjab, Tripura and India respectively. The pricesof potato in Utter Pradesh, West Bengal and India will be increasing with the first-quarter providing thehighest price. The prices of potato in Madhya Pradesh and Tripura will be highest in the fourth quarter.In Punjab, the prices of potato will be increasing with the third-quarter. The forecast shows that marketprices of potato in Utter Pradesh, West Bengal, Madhya Pradesh, Gujarat, Punjab, Tripura, and overallIndia would be ruling in the highest value of .1208 `/qt, 1812 `/qt, 1345 `/qt, 1712 `/qt, 1354 `/qt, 2636 `/qt, and 1715 `/qt respectively for the year 2020.

Forecasting of Potato Prices in India: An Application of Arima Model