| 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)
|
|
|---|---|---|
| Article Number | 01115 | |
| Number of page(s) | 10 | |
| Section | Issues of Sustainable Development of Agriculture | |
| DOI | https://doi.org/10.1051/bioconf/20237101115 | |
| Published online | 07 November 2023 | |
Concept of forming individualization of smart village methodology using AI cognitive processes
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 Lomonosov Moscow State University, building 1, Leninskie Gory, Moscow, 119991, Russian Federation
4 Russian State University for the Humanities, 6, pl. Miusskaya, Moscow, 125047, Russian Federation
5 St. Petersburg State University of Economics, 30-32-A, Griboedov Canal, St.Petersburg, 191023, Russian Federation
* Corresponding author: morkovkinde@mail.ru
The study examines the role of digital agriculture in rural transformation and optimization of agricultural production, especially in the context of Russia. The article discusses the application of advanced sensors for soil and fertility analysis, which helps in determining potential yields and effective fertilizer application. Digital agriculture is presented as a tool to improve efficiency and productivity in rural areas, contributing to their economic growth. In addition, the study emphasizes the importance of adequate use of data and modern technology in farming. The analyses presented are based on extensive use of statistical and mathematical methods using various Python software packages. The conclusions of the study emphasize the need to integrate digital technologies in agriculture for sustainable rural development.
© 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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