Scientific Journal of KubSAU

In this article, the authors analyze forecasting and adoption of administrative decisions of a choice of agro technologies by means of application of the method of system-cognitive analysis

In this article, the authors have conducted a survey of the system-cognitive model for forecasting and support of decision-making of the choice of agricultural technologies in the production of grain, providing the desired economic, energetic, financial and economic results with high probability

The article considers the application of Eidos intellectual technologies for implementation of developed veterinary and medical diagnostics statistical tests without programming in the convenient form for the individual and mass testing, the analysis of the results and development of the individual and group recommendations. It is possible to merge several tests in one supertest

The article basically formulates the problem of effective forecasting of results and acceptance - making on the choice of agricultural technologies to produce the desired result. We have offered and proved the possi-bility of forecasting and management in grain production through the application of artificial intelligence technologies, in particular - the method of systemic cognitive analysis

This article at first time presents the synthesis and verification of systemic cognitive model of natural economic system, we have also justified the opportunity of forecasting and decision management, the strategic decisions of the choice of agricultural technologies

The article briefly reviews the method and basic concepts of the automated system-cognitive analysis and the possibility of its application for the comparable assessment of the effectiveness of uni-versities, at the conceptual level

The article describes the application of the Eidos intellectual technologies for the implementation of already developed psychological, pedagogical and profession oriented tests and super tests without programming in the form, convenient for mass testing, for the analysis of the results and the formulation of individual rec-ommendations

The processing complex of a region is considered as a multi-level hierarchical active reflective system, which is the object of intellectual control. The economic stability of the regional processing complex is considered as one of the most important because of its characteristics, as they considerably affect the quantitative and the qualitative results of the work. The system-cognitive approach to the construction and verification of the system of intellectual models of processing of the regional complex is implemented. We have selected the most adequate model of the processing complex of the region, in which we explore the issues of management of its economic stability

In this article, for the first time, the synthesis and veri-fication of the system-cognitive model of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region) are carried out. On the basis of the developed models, there are solved tasks: 1. Forecasting scenario of sun-flower yield for the period from 1 to 5 years. 2. The scientific study of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region)

In the article we have offered the technology and the methodology for the formulation and the solution of the problem of forecasting scenarios of changes in yield sunflower seeds at the level of a region and its districts, on the basis of the system-cognitive model that is different from the traditional: a high degree of formalization of the model of knowledge; the possibil-ity of the synthesis matrix transfer function of the object of forecasting directly on the basis of empirical data; correct work with incomplete (fragmented) and noisy data. For the first time, the study of the system-cognitive model of artificial ecosystems of sunflower in the Krasnodar Region, which is correctly regarded as the study of the ecosystem, as the verification of this model has shown its high adequacy has been conduct-ed