Computer modeling of connection harvest sunflower with the weather and climate conditions of the Central zone IN Orenburg region
Purpose. To develop the mathematical model for seed yield of sunflower with the weather and climate conditions of the Central zone of the Orenburg region. Materials and methods. To solve the set tasks were used the data for a long series of sunflower yielding capacity of the Orenburg district of Orenburg region (1950-2013 years), as well as materials agrometeorological bulletins of the Orenburg regional center for Hydrometeorology and environmental monitoring (weather station - Orenburg). We have applied the methods of neural network and multivariate regression analysis. Results. First developed a mathematical model of communication: trend of yield of sunflower with climatic factors and deviations of productivity from trend with weather factors that determined these variations. Conclusion. Due to the positive influence of climatic conditions on November the trend dynamics of productivity of sunflower in the next decade the sunflower will be one of the most popular and profitable crops in the context of aridization climate of the steppe zone of Orenburg region.