Вип. 37

Постійний URI для цього зібранняhttps://repositary.knuba.edu.ua/handle/987654321/1810

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20192

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Містить файлиsearch.filters.applied.operator.equals: ТакКлючові словаsearch.filters.applied.operator.equals: search.filters.subject.agriculture

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  • Документ
    Digital image analysis technologies for decision support systems in agricultural
    (КНУБА, 2019) Mingxin Huang; Vatskel, Vladimir
    The paper describes information technologies for efficient management of crop yields and decision-making support in agriculture as a whole. The analysis of automation technologies supporting decision-making in agriculture indicates the necessity of their improvement and integration of new functions for increasing the yield and quality of agricultural products, increasing the efficiency of operational management of sown areas. The paper formulates the research tasks arising from the review of geoinformation technologies and technologies for the analysis of digital images of sown areas.
  • Документ
    Decision-making in agricultural sector in view of the environment
    (КНУБА, 2019) Chunmei Ji
    The article deals with the main approaches to decision-making in the agrarian sector. The conceptual basis of decision-making is conducted. The peculiarities of national approaches to decision making are considered. The questions of management and peculiarities of its application in agrarian sphere are considered. The approach-analysis-assessment-diagnosis as a basic stage for further research is considered. Peculiarities of monitoring of objects of agrarian sphere are considered. The use of statistical methods of analysis and forecasting, in particular, multidimensional statistical methods during economic monitoring, is substantiated. The ability to determine the relationship between environmental and economic indicators by means of statistical methods is shown. The mutual influence of agriculture and ecological factors is considered, which determines the necessity of making decisions on increase of efficiency of use of natural resources and application of new approaches to agriculture.