Unmanned Combine Harvester to Appear in Siberia this Autumn

Six farm in Tomsk Region would harvest this autumn by combines equipped with an unmanned control system, as reported by tvbrics.com with reference to Andrey Antonov, the Vice Governor on Economics, Tomsk Region.

The unmanned control systems for agriculture machinery is introduced by Cognitive Technologies Company. Tomsk Regional Administration and Cognitive Technologies signed the partnership agreement in the area of artificial intelligence at the U-NOVUS Forum, in 2018. The plan was to establish and test AI systems for unmanned agricultural machinery, as well as Neural City Project. Automated control over harvesting and precise farming to be based upon the computer vision and artificial intelligence.

Andrey Antonov, the Vice Governor on Economics, Tomsk Region, adds that experts would upgrade the road map for introducing such combine harvesters into the local farms during U-NOVUS-2019.

The forum of young scientists in Tomsk will be held May 15 to May 17, 2019. Its objective is to solve specific issues for business. Representatives of industrial companies, innovation business, universities, and academic institutions plan to participate in the forum.

‘We call the system ‘Smart Master’. It eliminates a human factor, as this master not involved into alcohol or corruption, while keeps working day and night. The next stage of the project is unmanned public transportation, unmanned taxi’, says at that moment Olga Uskova, General Manager of Cognitive Technologies Company to riatomsk.ru.

Signing the agreement, the parties intended to not only join their efforts in developing solutions for ‘Smart City’, but also generate the conditions for creating new jobs.

The status of the second joint project of Cognitive Technologies and Tomsk Regional Administration is not reported, so far.

We note that initially the project suggested the computer vision technology for city monitoring. AI systems ensure monitoring and prepare daily reports for municipal organizations maintaining the dynamic failure map.