Formation of a database of soil and climatic parameters for planned and predictive management of digital agriculture

An important task of precision farming is the management of the production process, based on the use of information and digital technologies. The most significant components of predictive models of crop yields include agrometeorological and soil-climatic conditions of the area where they are cultivated. The paper gives an example of substantiating the optimal location for an automatic weather station. The weather station is an integral element of the integrated management system for a digital agricultural enterprise - the educational and production base of the agricultural university. Students and staff do not have user rights. For the possibility of using agrometeorological data for a wider range of people, an accessible version of the database is proposed. The database is a shared directory of Excel files. They contain monthly information on all parameters registered by the agrometeorological complex on the territory of the educational and production base of the university. The use of original forecasting models, based on controlled agrometeorological factors, provides a reduction in agricultural risks and an increase in the productivity of cultivated crops.