Agricultural Data Space

Author:

Kalmar Ralf,Rauch Bernd,Dörr Jörg,Liggesmeyer Peter

Abstract

AbstractThe digital transformation strongly affects the agricultural domain. Still, there is a lot of potential for optimization in many work and business processes. In the current agricultural digital ecosystem, numerous isolated, often non-interoperable solutions exist. In this chapter, we motivate the need and added value of an “Agricultural Data Space” (ADS for short). We outline an ADS concept, which resulted mainly from the Fraunhofer lighthouse project “Cognitive Agriculture” (COGNAC) and describe the necessary prerequisites and technical solution approaches. Complemented by the possibilities of a transparent and open marketplace for data, digital products, and software services, such a data space would address many of the existing obstacles to widespread acceptance and take-up of digital technologies. Overall, an ADS as part of an extended digital ecosystem will significantly advance digitalization in agriculture. In the end, we provide application scenarios for which an agricultural data space can add value.

Publisher

Springer International Publishing

Reference3 articles.

1. Bartels, N., Doerr, J., & Fehrmann, J., et al., (2020). Machbarkeitsstudie zu staatlichen digitalen Datenplattformen für die Landwirtschaft. https://www.bmel.de/DE/themen/digitalisierung/datenplattform-machbarkeitsstudie.html; zuletzt besucht April 11, 2021.

2. Webpage of the Project Agri-Gaia. https://www.bmwi.de/Redaktion/EN/Artikel/Digital-World/GAIA-X-Use-Cases/agri-gaia.html. Last visited April 14th, 2021.

3. Webpage of the Project NaLamKI. https://www.digitale-technologien.de/DT/Redaktion/DE/Standardartikel/KuenstlicheIntelligenzProjekte/KuenstlicheIntelligenzProjekte_ZweiterFoerderaufruf/ki-projekt_NaLamKI.html. Last visited April 14th, 2021.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Open-Source Tools and Supports to Advance Data Interoperability in the Agriculture Domain;2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2024-07-29

2. A Reference Architecture for Enabling Interoperability and Data Sovereignty in the Agricultural Data Space;Information;2023-03-21

3. Using I4.0 Digital Twins in Agriculture;Lecture Notes in Computer Science;2023

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