Application of statistical methods for the agriculture complex using the example of sugar beet production

Abstract

The paper considers the issue of applying statistical methods that allow processing large technological data. At the initial stage, the technological process of beet sugar production was analyzed. The indicators (more than 40 parameters) were taken, and those that have the greatest influence on the technological process were selected. The values of the main parameters determine the varietal yield (sugar grade). The statistical analysis method was chosen as the main research method. Characteristic samples of 40 parameters were considered, the sample size was 179 values. Two quality parameters that determine the sugar grade were selected. Correlations of the characteristic initial parameters with the parameters of varietal sugar were checked. A mathematical processor was chosen as a tool for conducting the analysis. The Excel program contains almost all the functions and techniques that are missing in application development tools and much more. Statistical characteristics of some of the experimental samples under study are presented. And based on the obtained models, a conclusion was made that the third-order power model adequately describes the experimental data.