Scientists from Kazan State Agricultural University have created a hardware and software complex for machine and tractor units. It allows you to control your agricultural machinery in all weather conditions with almost no human intervention and even without a GPS signal. socialbites.ca was told about this at the Kazan State Agricultural University.
The Level 4 ADAS system uses advanced machine vision, artificial intelligence and big data analytics technologies. Its cost starts from 2 million rubles, depending on the functions used. The application of the complex will significantly increase the efficiency and profitability of crop production by reducing production costs.
“In 70% of cases, there is a reduction in the cost of production of plant products by at least 20% due to increased productivity, reduced errors and replanting. The projected economic impact for Russia is 20 billion rubles, Rais Sabirov, an employee of the Mechanization and Technical Service Institute of Kazan State Agricultural University, told socialbites.ca.
The machine vision system ensures reliable operation in all types of soil at any time of the day. AI processes lidar data and makes decisions to avoid obstacles. In difficult weather conditions such as heavy rain, snow or fog, it is possible to navigate using satellite navigation and receive corrective signals via the Internet. The system developed by Kazan State Agricultural University can work even in the absence of signals from satellites, relying on machine vision data to determine the route of its movement in the field. This ensures uninterrupted operation of the equipment in all conditions.
There are various precision agriculture systems on the market, but most of them, especially those produced locally, are parallel drive systems and do not have the active control functions of obstacle-sensing machine-tractor units. Technologies for geolocation, obstacle recognition, route planning and autonomous control of agricultural machinery are key competitive advantages; therefore manufacturers are reluctant to disclose details of their developments.
Kazan State Agricultural University’s unmanned ADAS level 4 complex represents a significant step towards fully autonomous agriculture. The university plans to create a whole complex of machines united by a single autonomous control system.
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