Author(s): Divya Agarwal, MS Shitap, Nikeeta J Pokiya and PR Vekariya

Abstract: The present study was conducted in order to identify the models for predicting crop hectareage of castor crop in the Rajkot district of Gujarat state. The investigation was carried out on the basis of secondary data covering the period of 21 years (2000-01 to 2020-21). The linear multiple regression technique adopting Nerlovian adjustment model was employed. Eight single equation and four simultaneous equation models were tried for the selected crop. The model selected on the basis of adjusted coefficient of multiple determination, RMSE, MAE and MAPE values is as HECS= -112.0 + 0.340 HECSL₁+ 0.009 HECT + 0.022 YCSL₁+153.50 REPCS - 0.076** RFT + 0.107* PRSK + 0.016 YRSK.

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