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Territory management and ecology
11:15, 26 September 2025
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Russia’s Field of Experiments: AI Joins the Fight Against Invasive Weeds

Artificial intelligence is being deployed to protect ecosystems. Using satellite imagery and computer vision algorithms, Russian projects are scanning thousands of hectares to detect invasive weeds, wildfires, and even signs of illegal logging.

The All-Seeing “AI Patrol”

The quiet war against giant hogweed—a toxic invader spreading along roadsides and abandoned fields—has reached a new stage. In Kaluga Region, authorities have turned to a powerful ally: artificial intelligence. Now satellite images and machine vision algorithms sweep across thousands of hectares, spotting the plant’s distinctive clusters. This isn’t just a pilot but part of a wider trend toward digitizing environmental oversight, which is rapidly spreading across Russia.

The first push came from the Moscow Region, where an entire “AI Patrol” was launched. This system acts as a digital watchdog: it not only detects hogweed but also identifies illegal construction and land misuse. The technology is becoming interactive—residents can report infestations through online portals, while algorithms quickly process the complaints and convert them into tasks for municipal services. This turns the fight from isolated interventions into a systemic approach.

Success Stories Across Dozens of Regions

Within Russia, the spread of digital environmental tools is accelerating. Integrated platforms are being built to combine satellite monitoring, citizen feedback, and predictive analytics capable of forecasting ecological risks. At the national level, the logical next step is standardization. Proven cases in Kaluga or Moscow can be replicated in dozens of other regions to tackle issues from illegal logging to unauthorized landfills.

Globally, many countries have satellite surveillance infrastructure but lack effective data-analysis algorithms for environmental monitoring. Russia’s expertise, combined with its strong tradition in processing space imagery, offers a gateway to the international sustainability market.

Green technologies are one of the fastest-growing sectors of the global market today, and AI is becoming the key driver. Its value comes not only from economic potential but from its ability to address critical sustainability challenges—from biodiversity preservation to climate adaptation—faster, more accurately, and at a fundamentally new level. AI also helps model risks and prevent ecological disasters. Given Russia’s technological capabilities, we have every chance to become a leader in green technologies
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A Logical Next Step

These efforts build on recent initiatives. In Nizhny Novgorod Region, neural networks have been used to detect wildfires and illegal logging. In Arkhangelsk and Irkutsk Regions, the Roscosmos-affiliated company Terra Tech is rolling out the “Digital Earth” platform, where AI analyzes space imagery to identify traces of illegal logging.

For several years, hotlines and online reporting systems have also been deployed nationwide to fight hogweed, which has become a serious local hazard in many areas. A recent pilot in Tver Region demonstrates how far the technology has advanced: AI, drones, and the “Inspector 2.0” hardware-software system are now being used together. AI generates optimal drone flight paths using topographic maps, a dedicated “hogweed map,” and concentration data. By next year, AI-powered detection is expected to run fully automatically.

From Innovation to Standard

The Kaluga project is not a one-off experiment. Integration will deepen further, with mobile apps, automatic alerts, and digital mapping of problem zones becoming routine. Challenges remain—false positives, difficulty detecting in dense forests, and funding constraints—but the pace of development is strong.

Experts predict that within 18–24 months, these intelligent monitoring systems will evolve from innovation to standard practice across much of Central Russia. With AI equipped with a “view from space,” humans gain a powerful ally in the struggle to protect nature and maintain land order.

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