Digital Model of the Influence of Various Environmental Factors on Plant Biomass

The paper focuses on the development of a program for constructing a digital twin of a mathematical model based on the processing of experimental data on toxic soil pollution. The use of digital models makes it possible to reduce the material and time costs for conducting full-scale experiments. Using the self-organization method, the authors obtained mathematical models of biomass depending on environmental factors. Using the method of self-organization, the authors obtained mathematical dependences of biomass dynamics on climatic factors and parameters of natural pollution. The research develops a universal software module based on the method of self-organization using retrospective data represented by time series. The program developed by the authors can be used in biology, agrochemistry, sociology, and other areas. Models built using the method of group consideration of arguments are superior in their predictive properties to regression models. When studying the initial data, mathematical equations are determined that describe the relationship between biomass and significant factors. When applying the method of self-organization, the model type is not predetermined. The type of polynomial nonlinearity is determined by the absolute error criterion.