DigiFarm – detecting the world’s most accurate field boundaries to power precision agriculture

DigiFarm - Farm in Field green

Initial submission

All precision agriculture services start with accurate field boundaries and seeded acres. Unfortunately, the problem is that critical decisions are made based on inaccurate data, cadastral field boundary data, which is affecting the entire agricultural value chain. DigiFarm has spent the last two years developing a deep-resolution algorithm for Sentinel-2 imagery to increase image resolution by 10x from 10m to 1m, coupled with a deep neural network model to automatically detect field boundaries on a large scale. DigiFarm has delinea- ted over 15 million ha across the world and has achieved an average (IoU) accuracy of above 0.96, which represents up to 20% greater accuracy than existing cadastral map data. DigiFarm delivers four key models to B2B and B2G clients through various API endpoints, including: automatic field boundary detection (and seeded acres), deep resolution of Sentinel-2 at 1m resolution on demand, automatic delineation of in-field productivity zones and crop classification, the ability to automatically detect field boundaries (seeded acres) using deep neural network models and super-high-resolution satellite imagery.


The INNOspace Masters was the start to scale, grow and achieve market acceptance. It enabled e.g. mentions in Raumfahrt Concret and by Niklas Nienaß (Member of European Parliament): “the success of DigiFarm impressively demonstrates two things. DigiFarm shows that European space programmes are drivers of innovation. DigiFarm also shows how many areas of social life benefit from space today. DigiFarm‘s algorithm makes our agriculture more precise and therefore more efficient.“ This enabled participation in the NIVA4CAP project funded by JRC and the EU Commission, and also collaboration with the Common Agricultural Policy (CAP) and national agencies in Europe.

  • TRL (Technical Readiness Level) from 5 to 7/8
  • Team: from 12 FTE to 61 FTE in 8 countries, female 30%
  • Turnover: 2021 EUR 60,000; 2022 EUR 350,000, 2023 Q1 EUR 1.5m, expected EUR 3m
  • Markets: Europe, LATAM, US, Canada, APAC, NZ, AUS, S Africa
  • Fields of application: Agriculture Management
  • Customers: B2B, B2G
  • Investment: EUR 7.2m of funding since the INNOspace Masters in 2021
  • Further programmes: e.g. first incubatee ESA BIC Norway, and others


The solution specifically and directly contributes to the following UN Sustainable Development Goals: 2. Zero Hunger, 1. No Poverty, 8. Decent Work and Economic Growth and 13. Climate Change. This impressively shows the strength of space programmes and the impact of the INNOspace Masters.

Nils Helset

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