Forecasting of pre-harvest crop yield using discriminant function analysis of meteorological parameters

In the present paper, an application of discriminant function analysis meteorological parameters for developing suitable statistical models to forecast wheat yield in Faizabad district Eastern Utter Pradesh has been demonstrated. Time series data on 20 years (1990-91 2009-10) have divided into three groups, viz. congenial, normal, and adverse based de-trended distribution. Considering these groups as populations, using weekly crop season five carried out. The scores obtained from this used regressor variables along with time trend development models. all six procedures weather proposed. developed year 2008-09 2009-10 which were not included It found that most provide reliable about two months before harvest. However, model-5 be among developed.