Вип. 38
Постійний URI для цього зібранняhttps://repositary.knuba.edu.ua/handle/987654321/1812
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Документ Review of monitoring and forecasting tools of the crop yield(КНУБА, 2019) Mingxin HuangA theoretical basis for research was created to solve the problem of creating an information technology for monitoring the yield of agricultural crops based on the analysis of multispectral images obtained by remote sensing. The geoinformation system created on the basis of this technology should monitor and yield the analysis of satellite time series of images to identify quantitative and qualitative indicators of yield, possible diseases of plants, and the like. The problem described in the work is relevant in conditions of environmental uncertainty. It is revealed that as a result of the food crisis, the consequence of which is a constant increase in the cost of food products, agriculture is increasingly functioning in conditions of uncertainty and risk, which requires the use of special research methods.Документ Management of the activity of agrarian enterprises for accounting risk management and multicriteria decision making(КНУБА, 2019) Chunmei JiThe main approaches to the management of the activity of agrarian enterprises are considered: an approach based on risk management and multicriteria management methods. Management of risks in the agrarian sector is presented as an integral part of the overall strategy for managing the activities of the agricultural enterprise. An overview of the known multi-criteria decision-making methods shows their applicability to the agrarian enterprise management task. Given the difficulties that arise when necessary to make adjustments and changes in the implementation of the strategy, it is appropriate to use several methods for selecting alternatives that focus on decision making under uncertainty. The requirements that should be followed when designing appropriate methods are formed. Particular attention should be paid to the theory of MAUT, which combines the benefits of management risk and multicriteria-based decision making and has good examples of implementation in the agrarian sector.