Imagine trying to draw a map of every farm in the world by hand; it would take lifetimes. This technology acts like a magnifying glass for satellites, turning blurry images into sharp pictures. It then uses a smart computer program to automatically draw the exact borders of every field, far faster and more accurately than a human could.
Agricultural decisions are currently based on outdated and inaccurate field boundary data. Manually updating these maps is too slow, with 66.6 million boundaries potentially taking 125 years to digitize by hand.
A super-resolution AI model that upgrades satellite imagery from 10m to 1m resolution and an automated boundary detection system. This was delivered via a web/mobile MVP and a set of API endpoints.
If you are a service provider dealing with outdated field maps that lead to wrong farming decisions — this project developed an AI model that increases boundary accuracy by 12-15%. This ensures that in-field analytics are based on precise seeded acres rather than guesswork.
If you are a government agency dealing with the manual digitization of millions of field boundaries — this project developed an automated detection system that reduces the cost and time of manual mapping by ~99%. It replaces slow manual drawing with high-resolution AI detection.
If you are an insurer dealing with inaccurate land data for claims and risk assessment — this project developed a super-resolution AI model that achieves 94% accuracy across global regions. This allows for precise verification of seeded acres for more accurate policy pricing.
Based on available project data, specific pricing tiers are not listed, but the project has already secured 235k EUR in revenue-generating contracts.
Yes, the technology has already delivered 3.5 million boundaries to 7 corporate clients and reached over 350k farmers.
Based on available project data, the technology is developed by DigiFarm AS and is being commercialized via API endpoints and a client-facing MVP application.
The system provides API endpoints including single point, bbox, and coverage options, as well as a web and mobile application for users.
The project has already moved past the development phase, having launched its MVP and validated commercial expansion between June 2022 and May 2024.
The project is led by a single Norwegian SME, DigiFarm AS, which acted as the sole partner. This lean structure allowed for rapid development and direct commercialization, resulting in a 100% industry ratio and a fast transition from AI model development to revenue generation.
Contact DigiFarm AS in Norway for API access and commercial licensing.
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