| Issue |
BIO Web Conf.
Volume 179, 2025
International Scientific and Practical Conference “From Modernization to Rapid Development: Ensuring Competitiveness and Scientific Leadership of the Agro-Industrial Complex” (IDSISA 2025)
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|---|---|---|
| Article Number | 16003 | |
| Number of page(s) | 9 | |
| Section | Digitalization and Artificial Intelligence in Crop Production | |
| DOI | https://doi.org/10.1051/bioconf/202517916003 | |
| Published online | 09 June 2025 | |
Development of a digital twin for experimental sites of the Ural State Agrarian University, data for geospatial modeling
Ural State Agrarian University, Yekaterinburg, Russia
* Corresponding author: inyshevav@mail.ru
Today, the creation of a digital model of an agricultural enterprise is a key task for ensuring food security and the basis for developing a strategy for obtaining a stable yield. Modern digital technologies, including artificial intelligence, machine learning, GIS technologies, and creation of extensive databases are actively used to develop such a model. The digital twin of the enterprise must meet the needs of specialists in the necessary and reliable information about the state of crops, to make an accurate forecast of yields and calculate the technical and economic indicators of crop cultivation. The article presents the materials obtained during the work on the creation of a digital twin of the educational and experimental farm of the Ural State Agrarian University for the period 2022-2024.
© The Authors, published by EDP Sciences, 2025
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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