Russian Scientists Use AI and Drones to Predict Potato Harvests

Researchers in Siberia are testing advanced technologies to forecast potato yields with unprecedented accuracy. The project combines drones, AI, and field data to help farmers boost productivity and fight crop diseases.

At the Siberian Federal Research Center for Agrobiotechnology of the Russian Academy of Sciences, scientists are conducting experiments to determine how different factors influence the growth and productivity of potatoes.

Data is collected at every stage of plant development, from the first shoots to full maturity. Researchers record the spread of diseases, measure plant size, and analyze weather conditions. Drones equipped with specialized cameras play a key role, capturing detailed images of fields without damaging crops.

The information is processed with advanced software and artificial intelligence platforms capable of analyzing massive datasets and revealing complex correlations between weather, plant health, and final yields.

These technologies are expected to provide farmers with highly accurate harvest forecasts, enabling agronomists to adjust cultivation methods and increase potato production.

Unmanned aerial systems, AI-powered cameras, and smart greenhouses are among the innovations strengthening Russia’s agricultural sector. They help specialists prevent crop losses from diseases and pests, while neural networks analyze farming methods, weather, and other factors to generate precise recommendations.