Issue |
BIO Web Conf.
Volume 71, 2023
II International Conference on Current Issues of Breeding, Technology and Processing of Agricultural Crops, and Environment (CIBTA-II-2023)
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Article Number | 01116 | |
Number of page(s) | 8 | |
Section | Issues of Sustainable Development of Agriculture | |
DOI | https://doi.org/10.1051/bioconf/20237101116 | |
Published online | 07 November 2023 |
Fundamentals of smart Village modeling in the context of integration of cognitive processes of artificial intelligence in the era of modern infrastructure challenges
1 V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Profsoyuznaya str. 65, Moscow, 117997 Russian Federation
2 Financial University under the Government of the Russian Federation, 49/2, Leningradsky avenue, Moscow, 125167, Russian Federation
3 Federal State Budgetary Educational Institution of Higher Education “Moscow State University of Technology and Management named after K. G. Razumovsky” (First Cossack University)
4 Moscow State University of Humanities and Economics, 49, Losinoostrovskaya street, Moscow, 107150, Russian Federation
5 Russian State University for the Humanities, 6, pl. Miusskaya, Moscow, 125047, Russian Federation
* Corresponding author: morkovkinde@mail.ru
The study focuses on the stages of implementation and development of smart villages, which are digital technologies for agriculture that increase efficiency and productivity in this area. We uncovered the stages of development of smart villages, then we looked at what is included in the Internet of Things within a smart village. After that, we looked at the specific digital solutions for agriculture and the purpose of smart village. As part of the study, we analyzed a number of indicators characterizing the development of the sphere of agriculture and its prospects. As the results of the study, we constructed and analyzed correlation matrices of indicators.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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