Open Access
| Issue |
E3S Web Conf.
Volume 419, 2023
V International Scientific Forum on Computer and Energy Sciences (WFCES 2023)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 11 | |
| Section | Agricultural Sciences and the Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202341903001 | |
| Published online | 25 August 2023 | |
- "Digital Economy of the Russian Federation" program (approved by the order of the Government of the Russian Federation No. 1632-r dated July 28, 2017 [Google Scholar]
- Decree of the President of the Russian Federation dated May 7, 2018 "On national goals and strategic objectives for the development of the Russian Federation for the period up to 2024" [Google Scholar]
- Decree of the Government of the Russian Federation No. 1455 dated 07.07.2017 "Strategy for the development of agricultural engineering in Russia for the period up to 2030" [Google Scholar]
- Order of the Ministry of Agriculture of the Russian Federation No. 3 dated January 12, 2017 "On approval of the Forecast of scientific and technological development of the agro-industrial complex of the Russian Federation for the period up to 2030" [Google Scholar]
- "Forecast of scientific and technological development of the Russian Federation for the period up to 2030" (approved by the Government of the Russian Federation on July 10, 2018). [Google Scholar]
- Federal Law No. 101-FZ dated July 24, 2002) “On the Turnover of Agricultural Land” [Google Scholar]
- E. V. Truflyak, A. S. Kramer, N. Yu. Kurchenko, The results of the survey in the direction of "Digital agriculture" (Kuban State Agrarian University, Krasnodar, 2018) [Google Scholar]
- Digital transformation of Russian agriculture (FGBNU "Rosinformagrotech", Moscow, 2019) [Google Scholar]
- V. F. Semenikhina, I. V. Rozhkova, A. V. Begunova, T. A. Luxurious, T. I. Shirshova, Dairy industry 10, 60–61 (2017) [Google Scholar]
- G. Ya. Rezgo, M. A. Nikolaeva, Food industry 4 (2010) [Google Scholar]
- Industrial production. Federal State Statistics Service of the Russian Federation, https://rosstat.gov.ru/enterprise_industrial [Google Scholar]
- TOP 10 digital technologies for the food industry and ensuring the information security of the enterprise infrastructure, https://www.comnews.ru [Google Scholar]
- E. V. Dudukalov, V. D. Munister, A. L. Zolkin, A. N. Losev, A. V. Knishov, Journal of Physics: Conference Series 1889(5), 052011 (2021) [CrossRef] [Google Scholar]
- A. L. Zolkin, E. V. Matvienko, M. V. Shavanov, “Perspectives for the use of digital technologies in the agricultural sector in order to optimize agricultural operational processes”, in IOP Conference Series: Earth and Environmental Science. International science and technology conference "Earth science" (2021), 032081 [Google Scholar]
- Yu. B. Gerber, “Fundamental problems of storage and processing of agricultural products, directions, techniques and methods for their solution”, in Agrobiological foundations of adaptive landscape management of agricultural production. Collection of abstracts of reports of the participants of the Russian theoretical and scientific-practical, anniversary conference dedicated to the 100th anniversary of the establishment of the Academy of Bioresources and Nature Management (2018), pp. 154–157 [Google Scholar]
- A. A. Chekushov, M. A. Chirkov, M. S. Chistyakov, Management and business administration 3, 69–80 (2019) [CrossRef] [Google Scholar]
- N. V. Zakharchenko, S. L. Hasanov, A. V. Yumashev, O. I. Admakin, S. A. Lintser, M. I. Antipina, Journal of Environmental Management and Tourism 9(3), 510–523 (2018) [CrossRef] [Google Scholar]
- V. Zhukovskyy, S. Shatnyi, N. Zhukovska, J. Perhac, “Information System of Cartographic Images Analysis for Soil Condition Monitoring of Agricultural Parcels”, in 2022 International Conference on Decision Aid Sciences and Applications (DASA) (Chiangrai, 2022), pp. 1640–1644 [CrossRef] [Google Scholar]
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