Digital Ecosystem – Agricultural Data Space

A Common Data Space for Digitalization in Agriculture

The automated support of work and business processes requires easy and fast access to relevant information. For this purpose, an “Agricultural Data Space” (ADS for short) is to be developed and used in order to enable secure, across-the-board data usage.

Digital Ecosystem – Agricultural Data Space, Fraunhofer IESE
©; edited by Fraunhofer IESE

Agricultural Data Space in Agriculture

Solution Core Digitalization – “Agricultural Data Space”, Fraunhofer IESE
©; edited by Fraunhofer IESE
Solution Core Digitalization – “Agricultural Data Space”

The aim of the “Agricultural Data Space” is to make available all the data that is necessary for making decisions in agriculture. The intention is to cover a diversity of value-adding processes and the interaction with the biosphere. As for data analysis, data privacy, and data security, the lighthouse project relies on innovative methods that use Artificial Intelligence to master the challenges of data heterogeneity, data quality, and data quantity.

Agricultural Solutions in the Agricultural Data Space

For the design of the “ADS”, Fraunhofer can draw on experience from the reference architecture model of the “Industrial Data Space” and will use existing solutions for orientation or integrate such solutions. The project aims to create an information-based ecosystem for the agricultural sector, which, for example,

  • offers farmers a basis for decision-making across all levels – from soil conditions to market situation
  • enables machine manufacturers to implement optimal automation solutions based on the underlying data
  • enables manufacturers of seed or crop protection products to flexibly support the selection and dosage of their products
  • allows service providers to offer data-based services
  • enables cooperatives and government agencies to make informed decisions based on data and to digitalize their processes that relate to farmers.

Articles on the Topic of “Agricultural Data Space”


Smart Farming im Blog / 22.10.2020

Survey results: Data sovereignty in agriculture

Everyone is talking about “data sovereignty” when it comes to digital platforms and data. But what do people think this term means, for what and for whom is data sovereignty important, and who should ultimately implement it? [in German]


Smart Farming on our Blog / 6.10.2020

Digital Twins for Agriculture

Digital Twins as a new solution for agriculture: In digital agriculture, the across-the-board exchange of data and services is still a major problem. We therefore propose placing a fundamentally new concept over existing data standards and formats without abolishing these: Digital Twins make this possible.


Smart Farming on our Blog / 13.05.2020

How to create data sovereignty in agriculture?

Data plays an increasingly defining role in modern work and business processes. As digitalization progresses, more and more elements in value creation chains depend on data. This is also true for agriculture. [in German]

Smart Farming on our blog

Current posts, information, and insights about Smart Farming and the Fraunhofer lighthouse project “COGNAC”

Whitepaper Agricultural Data Space (ADS)

A publication of the Fraunhofer lighthouse project “Cognitive Agriculture”

Do you have more questions about the Agricultural Data Space? – Contact us!

Fraunhofer Institute for Experimental Software Engineering IESE

Fraunhofer-Platz 1

67663 Kaiserslautern, Germany

Ralf Kalmar

Phone +49 631 6800-1603