| Issue |
BIO Web Conf.
Volume 43, 2022
International Scientific and Practical Conference “VAVILOV READINGS-2021” (VVRD 2021) dedicated to the 101st anniversary of the discovery of the law of homological series and the 134th anniversary of the birth of N. I. Vavilov
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|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 9 | |
| Section | Biotechnologies | |
| DOI | https://doi.org/10.1051/bioconf/20224303012 | |
| Published online | 19 January 2022 | |
Development of a methodology for evaluating the efficiency level of monitoring agroecosystems using big data technologies
1 Norilsk State Industrial Institute, 663310, 50 years of October str. 7, Norilsk, Russian Federation
2 Northern Trans-Ural State Agricultural Universtity, 625003, 7, Republic st. Tyumen, Russian Federation
3 Tyumen State University, 625003, 6, Volodarskogo st., Tyumen, Russian Federation
* Corresponding author: darker2012@yandex.ru
The article discusses the theory of monitoring agroecosystems for the effectiveness of using Big Data technologies. The relationship between the agricultural areas of the Tyumen region, the Big Data sources available in them, and the technologies for working with Big Data obtained from sources are described. The article also developed a methodology that makes it possible to assess the level of effectiveness of monitoring agroecosystems using Big Data technologies, based on the result of which a strategy for development of the region as a whole and its agroecosystems, in particular, is formed in terms of equipment with information technologies. The methodology presented in the article is formed on the basis of an engineering ontology, which in the future is able to lower the degree of the human factor in global and local monitoring of agroecosystems for the effectiveness of using Big Data technologies.
© The Authors, published by EDP Sciences, 2022
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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