Cognitive Pilot unveils Russia’s first AI robot for crop yield assessment

Russian technology company Cognitive Pilot has introduced an AI-powered industrial robot for crop yield assessment, marking what it claims is the first such system developed in Russia. The device, known as Cognitive Crop Control, is designed to evaluate the quality and quantity of harvested grain in real time and assist farmers in fine-tuning harvesting processes.

Cognitive Pilot, which specializes in artificial intelligence systems for autonomous control of agricultural machinery, said the robot can measure a range of grain parameters — including size, moisture, brokenness, weed content, temperature and weight. The system uses its assessments to generate detailed yield maps and provide recommendations for combine harvester settings to reduce losses and improve product quality.

Until now, a key challenge for Russian agricultural enterprises has been the absence of reliable and timely tools for crop quality assessment, according to the company. This has often resulted in poor classification of harvested grain and reduced profitability, with losses estimated at up to 25% due to incorrect evaluations and post-harvest inefficiencies.

Cognitive Crop Control addresses this issue by enabling online monitoring and data sharing between machine operators, agronomists, and farm managers. According to Cognitive Pilot, the technology supports adjustments to harvesting equipment and optimization of post-harvest logistics, including drying processes and grain sorting.

The development of the system followed seven years of research and collaboration with agricultural enterprises, during which Cognitive Pilot built a proprietary database of grain characteristics and trained neural networks to recognize different crop types. The company claims its algorithms can evaluate most crop varieties grown in Russia and internationally, including less common types such as sugarcane.

Cognitive Pilot has also developed its own high-precision sensors to support the AI system. Natalia Filippova, director of the industry association InterAgroTech, said the sensors outperform those developed by competitors in Israel, the United States, Germany, and France. She credited the superiority to a more thorough sample-based analysis method used by the Russian firm.

Accurate moisture measurement is among the key advantages of the system, as it enables farmers to determine whether grain requires additional drying — a decision that can prevent spoilage or even fires during storage, Filippova added.

The robot was tested in 2024 at over 30 farms across Russia, as well as in Belarus, Brazil, and South Africa. According to InterAgroTech, use of the system resulted in a 25–30% increase in operational efficiency at participating agricultural enterprises. Production of the first 1,000 units is expected to be completed by the end of 2025, with initial sales beginning in May. The price per unit is set at 490,000 rubles. Cognitive Pilot identified agricultural holdings and machinery manufacturers as its primary customer base. According to a survey by InterAgroTech, over 95% of farmers involved in grain harvesting expressed interest in the technology.