The study has quantified the impact of price forecast on income of shallot (small onion) farmers in Tamil Nadu using time series data of 25 years on Dindigul market price, a major market for shallot in Tamil Nadu. Auto Regressive Integrated Moving Average (ARIMA) model was used to predict the price of shallot and ARIMA (110) was selected as the best fit model. A comparison of actual and predicted prices revealed 93 per cent accuracy in the forecasted price. Hence, the shallot farmers were advised to store the produce as there were chances of price increase. The impact of price forecast was analysed through a survey of 60 respondents, of which 30 respondents, on receiving market intelligence planned their marketing decisions accordingly and the results showed that adopter farmers got higher income than non-adopter farmers. The total incremental income realised by the adopter farmers was
Price forecast, ARIMA model, shallot farmers, Tamil Nadu
