ФГБОУ ВО Ставропольский государственный аграрный университет
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SSAU signed a series of strategic agreements at the Golden Autumn 2025 exhibition
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SSAU signed a series of strategic agreements at the Golden Autumn 2025 exhibition
2025/10/09

Within the framework of cooperation with Agropromcifra JSC, an intelligent digital platform for greenhouses will be created. The project is being implemented as part of a grant program to support world-class scientific centers, which was won by SSAU this year.

The platform is based on machine vision and artificial intelligence systems. They will analyze plant images in real time, identifying signs of disease, pest damage, and predicting risks.

«The system being created will provide agronomists with analytics for proactive actions, which will be a serious step in improving the efficiency and safety of the domestic agro–industrial complex,» said Vladimir Sitnikov, Rector of Stavropol State Agrarian University. «This will make it possible not just to fix problems, but to prevent them.»

«The signing of the cooperation agreement opens up new horizons for the digitalization of agriculture. Agropromcifra has competencies in digitalization, information security, and breakthrough technologies, and SSAU is one of the country's main agricultural universities with a serious scientific and technological base. Together, we are implementing innovative IT projects in the field of crop production, including predictive analytics systems and AI tools, which will contribute to the sustainable development of the Russian agro-industrial complex,» said Petr Ugryumov, Deputy General Director of Agropromcifra JSC.

The university signed the second agreement with Inno-Agro as part of the Agroengineering of the Future project. The partners are working on creating a system for differentiated application of plant protection products using UAVs.

AI will analyze multi- and hyperspectral images of fields in order to apply chemicals precisely and economically. The University is already collecting and classifying data on winter wheat, peas and sunflowers, forming a reference base for the diagnosis of diseases, pests and weeds.

Both projects are aimed at creating practical digital solutions that will increase the profitability and environmental friendliness of Russian agribusiness.