MODERN METHODS FOR SPATIAL MODELING OF THE DEVELOPMENT OF AGRICULTURE

Abstract

We consider the problem of applying mathematical models to study the dynamics of agricultural development. Based on the analysis of agricultural productivity for more than a 100-year period, the cyclical nature of the development of agricultural production has been revealed. Using the method of spectral analysis, the existence of 64-year long Kondratieff cycles is proved, which form the basis for the development of the socio-economic forecast for the development of the agrarian sector until 2042. It is concluded that the joint application of both traditional and new methods of mathematical modeling in agrogeographic research is promising.

Keywords

• Data Mining