Conditions for the effective application of artificial intelligence technologies in the agro-industrial complex of the EAEU
- Authors: Budzko V.I.1, Medennikov V.I.1
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Affiliations:
- Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
- Issue: Vol 73, No 1 (2023)
- Pages: 148-158
- Section: Methods and Models in Natural Sciences
- URL: https://journal-vniispk.ru/2079-0279/article/view/286895
- DOI: https://doi.org/10.14357/20790279230117
- ID: 286895
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Abstract
The solutions for reducing the environmental hazard in agriculture of the EAEU agro-industrial space formating are considered. The mechanism for such space formatting is proposed. It allows resolving the emerging geopolitical, economic, social, and environmental problems. This is a single digital management platform, which includes the possibility of cloud building based on mathematical and ontological modeling, common digital standards (the structure of the subplatform for collecting, storing and integrating operational primary accounting information of all participants in a single database; the structure of the subplatform for technological accounting; the structure of the subplatform of data processing algorithms of the first two subplatforms for the purpose of production management). The use of artificial intelligence technologies will bring the greatest effect and will ensure maximum cross-industry traceability of products and the negative impact of natural and anthropogenic environmental hazards on the environment, on the products of the agro-industrial complex and on the person himself will be minimized.
About the authors
V. I. Budzko
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Email: vbudzko@ipiran.ru
Doctor of Engineering, Professor, Principal Research Scientist
Russian Federation, 44/2 Vavilova street, Moscow, 119333V. I. Medennikov
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Author for correspondence.
Email: dommed@mail.ru
Doctor of Engineering, leading researcher
Russian Federation, 44/2 Vavilova street, Moscow, 119333References
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