Pre-harvest forecast of kharif rice yield using PCA and MLR technique in Navsari district of Gujarat

In this paper Principal Components (PC) and Multiple Linear Regression (MLR) Technique were used for development of pre-harvest model rice yield in the Navsari district south Gujarat. The weather indices developed utilized forecast models. data parameters from 1990 to 2012 utilized. cross validation confirmed using years 2013 2016. It was observed that value Adj. R2 varied 89 96. appropriate selected based on high R2. Based outcomes district, MLR techniques found be better than PCA pre harvest forecasting crop yield. Model-2 competent before eight weeks actual (37th SMW) i.e during reproductive stage growth period.