Based on advanced computer vision, artificial intelligence and data analytics technologies, this complex promises to significantly increase agricultural productivity.
Level 4 ADAS has the ability to independently control agricultural machinery, identify obstacles, create routes and operate in various weather conditions. The introduction of such technologies makes it possible to reduce production costs and increase field efficiency.
The system was developed based on global standards and is confirmed by a number of scientific articles and patents. In the future, the university plans to create a complex of machines united by a single autonomous control system, which could significantly increase Russia’s export potential in agricultural machinery.
Source: Ferra
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