Forecasting of Winter Wheat Yield: A Mathematical Model and Field Experiments

An increase in world population requires growth food production. Wheat is one of the major crops, covering 21% global needs. The supply issue necessitates reliable mathematical methods for predicting wheat yields. Crop yield information necessary agricultural management and strategic planning. Our model was developed based on a three-year field experiment semi-arid climate zone. yields ranged from 4310 to 6020 kg/ha. novelty this inclusion some stochastic data (weather technological). proposed method modeling theory random sequence analysis. does not impose any restrictions number production parameters environmental indicators. A significant advantage absence limits function. Consideration features (technological weather parameters) allows researchers achieve best accuracy. numerical confirmed high accuracy prediction yield. mean relative error (for third-order polynomial model) varied 1.79% 2.75% depending preceding crop.