Grain Yield Prediction in the Russian Federation
Some of the peculiarities of forecasting of grain-crops yield and leguminous plants in the Russian Federation are considered. The basis for a probabilistic empirical statistical method for step-by-step forecasting of yield productivity and croppage for the regions and the Russian Federation as whole, based on the agrometeorological factors and implemented on IBM personal computers is stated. The dynamic-statistical model presented is in the framework of the Information-Prognostic System (IPS). A possibility of forecasting yield productivity at the stage of harvesting during years of unfavorable conditions is shown. The results of skill scores forecasts are given.