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India is the largest producer of cotton in the world. For proper planning and designing of policies related to cotton, robust forecast of future production is utmost necessary. In this study, an effort has been made to model and forecast the cotton production of India using tuned-support vector regression (Tuned-SVR) model, and the importance of tuning has also been pointed out through this study. The Tuned-SVR performed better in both modelling and forecasting of cotton pro­duction compared to auto regressive integrated moving average and classical SVR models

Keywords

ARIMA, cotton production forecasting, SVR, time series, tuned-SVR.
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