МЕТОД ОПТИМАЛЬНОГО ПОСТРОЕНИЯ ВАРИОГРАММЫ ДЛЯ ОПРЕДЕЛЕНИЯ ВЫБОРОК ПРИ ИССЛЕДОВАНИИ ГЕТЕРОГЕННОСТИ СЕЛЬСКОХОЗЯЙСТВЕННЫХ ПОЛЕЙ

Abstract

Announcement: Heterogeneity of physical and chemical properties of the field is one of the reasons why the harvested crop is quantitatively and qualitatively different in the units of a single agricultural field. Until the question of the quantity or volume obtained during the evaluation of the work on the heterogeneity of the field remains open. There are also conditions under which the maximum amount of such information could be obtained and the most accurate identification of the agricultural fields used. The purpose of the study: Optimization of measurable procedures, designed for the construction of a semivariogram model, which allowed to evaluate the spatial relationship of the characteristics of the sample taken and to determine them randomly or systematically. At the same time there is an opportunity to quantitatively assess the spatial heterogeneity of physical and chemical characteristics of the soil. Methods of problem solving: Practice shows that the curvature of semivariograms is mainly exponential. Developed method of evaluation of measurable information contained in a modified part of the semivogram on the convergence of results at two points, removed from each other at some fixed distance h. Result: It is shown that when using multiple measurements, the failures of which constitute an ordered multiplicity {σi}, where σ – s.k.o. the measurer can calculate such a relationship between the magnitude of the spatial step (h) and σ, by which the proposed integrated information criterion reaches the extremum. Practical significance: According to this order of growth h can be accompanied by a reduction of σ, for registration of weak interactions may be required more precise measuring devices, however, with a small spatial interrelation is sufficiently strong, and the need for exact. Discussion: The general requirement of taking a minimum amount of probes for the accuracy of the measured measurements determines the solution of the task of achieving the most informative of the measured measurements. This task is solved in the field of achieving high informativeness of the semivariogram model with the use of the variational method of optimization.