STATISTICAL REGULARITIES OF THE BIOLOGICAL-SUBJECT INITIAL CONDITIONS FORMATION FOR THE SUGAR BEET HARVESTING TECHNOLOGICAL PROCESSES

Abstract

The coordinating task of the harvesting technological processes (TP) beginning and production area of sugar beet with the technical support parameters is disclosed. The solution of this problem is proposed to be performed on the basis of the statistical simulation methods. The features of sugar beet root crops maturation, which are accompanied by an increase of their mass and sugar content, are presented. It is accentuated that the growth rates of root crops mass are forming the current yield, affecting at the efficiency indicators of sugar beet harvesting (SBH) TP. For the TP modeling it is necessary to find out the data timing of the sugar beet harvest, the root crops initial state and the dependence of the mass growth in the context of the autumn period. It has been theoretically disclosed that the special regularity of mass accumulation and root crops sugar content requires timely harvesting, and also provision of minimum technological losses amounts. The statistical regularities which take into account the biological-substantive component influence on the harvesting processes efficiency indicators are distinguished. The method of collecting, systematizing and mathematical processing of meteorological stations data concerning the sugar beet root crops reaching processes is given. The using necessity of correlation-regression analysis methods and mathematical statistics methods for the processing of production observation data is indicated. The statistical laws of sugar beet root crops reaching, which form the initial knowledge base for statistical simulation modeling, are presented. Use of imitation model allows us to determine the regularities of changing the functional performance indicators of the TP SBH for different moment of sugar beet harvesting, production area and technical equipment are implemented.