The problem of forming a products portfolio is directly related to what group of consumers these products are aimed at. In this regard, there is a problem of choosing a clear consumers segment. The article proposes a method of selecting choosing a consumer segment in the agro-industrial complex.
The ability of enterprises to compete in a particular product market depends not only on the totality of economic methods used for conducting business, but also directly on the competitiveness of the product. The article presents ways to improve the competitiveness of agricultural machinery products, which ultimately determines the level of competitiveness of the enterprise as a whole. The article describes the properties of the data envelopment analysis (DEA) method in terms of its effectiveness in assessing the competitiveness of agricultural machinery products, and presents a model for improving competitiveness. Based on the analysis carried out, it is concluded that the DEA method should be used to assess the competitiveness of agricultural engineering enterprises.
The analysis of spectral characteristics from satellite images of the earth for different periods of the growing season is carried out. Using a geographic information system, a training sample was obtained for identifying agricultural land based on satellite monitoring data for the Krasnoyarsk region. The classification is carried out on the basis of spectral characteristics of agricultural land according to the data of remote sensing of the earth. Field studies were carried out to verify the classification results. Based on the results of the work, modules of a geographic information system were created, containing a cartographic database of agricultural land in the Sukhobuzimsky district of the Krasnoyarsk Territory.
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