Russian Scientists Boost Potato Yields by 15% with Drone-Based Treatment in High-Risk Farming Zones
Key takeaways
- Method uses three unmanned aerial vehicles
- Drones survey and apply treatments to soil
- Field trials showed 15.2% productivity gain
- Compared against conventional ground machinery
- Most valuable where fields are waterlogged
Why it matters
- For farmers
- The gain is not from better chemistry but from treatments actually happening: on waterlogged ground a drone gets in when a sprayer cannot, and a missed window is what costs the yield.
60-second summary
Researchers at the St Petersburg Federal Research Center of the Russian Academy of Sciences have built a treatment method around three unmanned aerial vehicles, which survey potato fields from the air and apply pest-control agents to the soil. The problem it addresses is specific to northern territories: short growing seasons, late spring and early autumn frosts, permafrost, floods, heavy rain, waterlogging and drought together mean agronomic treatments are routinely missed. Anton Savelyev, head of the Laboratory of Autonomous Robotic Systems, reports a 15.2% productivity gain over conventional ground machinery in field experiments, with the advantage largest exactly where ground equipment cannot work — on waterlogged ground.
Researchers from the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPb FIC RAS) have developed an innovative method using three unmanned aerial vehicles (UAVs) to treat potato fields in high-risk agricultural zones, achieving a yield increase of over 15%. The integrated approach involves drones conducting aerial surveys and precisely applying pest-control agents to the soil, addressing the chronic challenge of missed agronomic treatments in northern territories where farming is hampered by short growing seasons, late spring and early autumn frosts, permafrost, floods, heavy rains, waterlogging, and droughts. According to Anton Savelyev, head of the Laboratory of Autonomous Robotic Systems, field experiments demonstrated a 15.2% productivity gain compared to conventional ground-based machinery, with UAVs proving especially valuable in waterlogged conditions where traditional equipment cannot operate effectively.
While the results are promising, Savelyev emphasized that final conclusions regarding the agronomic and economic superiority of drone-based treatment will require several years of repeated trials and detailed cost-benefit analysis. The technology’s practical potential lies in its ability to perform timely applications even when fields are inaccessible to tractors, potentially reducing crop losses and stabilizing output in precarious climates. If validated over time, this drone-assisted system could become a game-changer for risky farming regions, offering a scalable, precise, and weather-resilient alternative to conventional methods.
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Sources
- Anton Savelyev, Laboratory of Autonomous Robotic Systems — quoted in the article
Linked in this material
- Country
- Russia


