Russian Student Develops AI System to Monitor Greenhouse Crops

A graduate from Khakassia State University has created a digital platform that uses artificial intelligence to monitor and forecast greenhouse yields. The technology is already drawing attention from farmers and agribusinesses.

Ilya Kurbatov, a recent graduate of Khakassia State University, has developed a web-based platform that leverages AI to monitor and predict crop yields in greenhouses. The project, supervised by physicist Evgeny Sannikov, has already gained interest from the agricultural community, according to the portal Khakassia.

The software enables agronomists, operators, and greenhouse managers to collect and analyze data on plant growth, climate conditions, and other key factors influencing harvests. Its main feature is the use of neural network technologies that forecast crop development based on specified parameters.

The innovation is designed for large agricultural holdings, small farms, and even private gardeners growing vegetables in greenhouses. By reducing dependence on human factors, it aims to make greenhouse farming more profitable and sustainable.