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This article describes the main types of agro-industrial organizations competitive strategies. Competitive strategists now are the most important component, it is impossible to imagine modern market relations without it. No organization can achieve superiority over its competitors. To get closer to this goal, it is necessary to correctly set priorities and develop a special strategy, show the strengths of the organization’s activities, increase its intensity of activity and strengthen its competitive position in the market. A special place has the competitive advantage achieved by the organization, which is characterized by a special advantageous position among competitors in the competitive struggle and an individual approach to attracting consumers. The key to the successful functioning of any organization is built on these characteristics.

We consider the problem of noninertial objects identication under nonparametric uncertainty when a priori information about the parametric structure of the object is not available. In many applications there is a situation, when measurements of various output variables are made through signicant period of time and it can substantially exceed the time constant of the object. In this context, we must consider the object as the noninertial with delay. In fact, there are two basic approaches to solve problems of identication: one of them is identication in "narrow" sense or parametric identication. However, it is natural to apply the local approximation methods when we do not have enough a priori information to select the parameter structure. These methods deal with qualitative properties of the object. If the source data of the object is suciently representative, the nonparametric identication gives a satisfactory result but if there are "sparsity" or "gaps" in the space of input and output variables the quality of nonparametric models is signicantly reduced. This article is devoted to the method of lling or generation of training samples based on current available information. This can signicantly improve the accuracy of identication of nonparametric models of noninertial systems with delay. Conducted computing experiments have conrmed that the quality of nonparametric models of noninertial systems can be signicantly improved as a result of original sample "repair". At the same time it helps to increase the accuracy of the model at the border areas of the process input-output variables denition.

E-learning has been actively developing recently. To date, there are a large number of platforms and developed courses. The main drawback is the lack of adaptability. This paper presents the results of developing an adaptive e-learning course on the Moodle platform. The course is based on a tree of concepts and discipline operations; the course content is based on different standards. Training takes place along various trajectories depending on the characteristics and level of the student’s preparation, which will improve the learning achievement of students. The results of the development and implementation of an adaptive electronic course designed for students of the second year of full-time education are presented. In the process of learning, students follow a certain trajectory; on each trajectory, different material is represented.

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