The paper considers the two main game-theoretic models, such as coalition and cooperative. The authors are of the opinion that definitions and notions of cooperative games and coalition games are different, but both games are coopetitive games. Transitivity and superadditivity are presented as the main characteristic functions of coopetitive games. The individual and collective rationality were identified as unconditional requirements for the optimal distribution between players. Furthermore, the additional income added to the guaranteed amount occurs in the event of coopetition. Any substantial coopetitive game has an infinite number of transactions. The authors highlighted that the dominant transaction is the transaction that is better for all coalition numbers without exceptions and it can be reached by the coalition. In addition, the authors propose using Shapley system of axioms to identify coopetitive game results.

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The paper considers the different methods of image recognition in unmanned aviation using modern programming languages. It is shown that the new era in aviation is characterized by new challenges and threats, as well as uncertainty, and it is not always possible to identify a threat through standard means of control. The authors summarize the various methodologies of analysis and justify the algorithm for recognition zones of video observation of possible icing of the surface of the aircraft. The tested methods, in general, were divided into three groups: the preliminary filtering and image preparation, the logical processing of the results of the filtering and-machine learning which in general are divided into three groups. The filtering that allows highlighting of images in the recognition area, linearization, the transformation of "Hafa" and filtering contours as a separate class of filters were selected as the main methods of filtering images. The authors propose to use a device that can determine possible areas of icing of aircraft using airborne meteorological radar. The problem is the ratio of the image, which was before the icing, and the changes in this image in the presence of ice.

The problem of image recognition using methods based on statistical solutions can be divided into two classes: parametric and nonparametric. In the first case there is a set of data on the selection of image criteria, in the second such criteria must be found. Taking into account, the possibilities of obtaining initial data for the identification of agricultural objects, the first option is considered in the article. Possibilities of diagnostics of strawberry growth at a stage of its cultivation in hothouse conditions are presented. Several image classifiers that can be used to solve such problems are investigated. An experiment was performed, which has shown the accuracy of the applied algorithms for diagnosis and recognition of berries, which allowed to set thresholds for the detection of ripe berries. A number of berry recognition methods were compared in order to study the accuracy of berry recognition and response to berry growth.

Abstract. The paper considers the current situation in the air transportation market in Ukraine. It is shown that, in the Ukrainian segment of the global aviation market, the effectiveness of passenger traffic and air transportation in reference to passenger per kilometer may grow in national and international flight routes. The authors justify the rapid increase in civil aviation efficiency and high capability of the air transport industry of Ukraine, taking into account the global rates of civil aviation development.