Development of a digital twin for experimental sites of the Ural State Agrarian University, data for geospatial modeling

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.