PL Polski
Agriculture

Lower input costs and less risk in farming.

We combine applied science with responsibility for the result. We use satellite images, drones and weather data to show the actual condition of the soil and crops in every field.

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Crop classification near Ciechanów. Sentinel-2, 30 June 2024.
  • Maize
  • Wheat
  • Triticale
  • Rapeseed
  • Root crops
  • Other crops
Satellite view of a dense patchwork of farm fields
The same area with each field coloured by the crop identified on it

What we work on

  1. Soil

    Soil condition and fertility, and areas at risk of degradation, as the basis for choosing crops and fertilising.

  2. Crops

    Crop condition, variation in growth and threats caught in time.

  3. Land monitoring

    Changes in land use and land cover, burnt areas.

  4. Risk and finance

    Reliable agricultural risk assessment for insurers and banks.

Who it is for

Large agricultural holdings, input producers and distributors, cooperatives, processors and traders, lenders, crop insurers and public agencies.

Research behind it

  • EO4Soil European Space Agency (ESA) Consortium lead Soil condition from satellite data Running, October 2026 – July 2027 EO4Soil (Research)
  • AgriSatCom National Centre for Research and Development (NCBR) Consortium lead AI on satellite and aerial images for agriculture Running, October 2024 – September 2027 AgriSatCom
All research

EO4Soil is carried out under a programme of, and co-funded by, the European Space Agency. The views expressed here can in no way be taken to reflect the official opinion of the European Space Agency.

AgriSatCom. Project co-funded by the National Centre for Research and Development under the INFOSTRATEG Strategic Programme.

How it starts

  1. A conversation about what you want to achieve, how we will measure it and the data you have.

  2. A short study on your data, with a written result.

  3. Delivery: we build the solution and help you run it, so it keeps delivering results.