HARVESTERS fitted with Cognitive Pilot autonomous operating systems have harvested more than 720,000 tonnes of crops over 160,000 hectares in Russia this season.

From June to October 2020, more than 350 New Holland, John Deere and Claas autonomous combines equipped with Cognitive Agro Pilot system harvested crops across 35 regions in Russia.

They took off 590,000t of broadacre crops (wheat, soybeans, barley, oats, sorghum, buckwheat, etc) over 130,000ha, and 130,000t of row crops and roll crops (corn, sunflower, etc) over 30,000ha in Kaliningrad Region, Kaluga Region, Kursk Region, Belgorod Region, Tambov Region, Penza Region, Rostov Region, Tomsk Region, Kurgan Region, Krasnodar Territory, Krasnoyarsk Territory, and Stavropol Territory.

“Controlled by the Cognitive Agro Pilot system, machines have worked over 230,000 hours, passing over 950,000 kilometres this year. These high figures prove the setup is reliable and called-for among farmers. Partnership with Sberbank and leading agricultural holdings allows us not only to scale the use of technology efficiently but also guarantee that our clients enjoy high-quality local service,” Cognitive Pilot chief executive officer, Olga Uskova, said.

Cognitive Agro Pilot is an autonomous AI-based driving system for farming equipment such as grain combine harvesters, tractors, and sprayers.

The system analyses images from a video camera and, by using a deep learning convolutional neural network fine-tuned for agronomic purposes, understands the types and positions of objects facing the machinery, builds movement trajectories, and sends commands to perform manoeuvres.

Source: Cognitive Pilot