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Agricultural Data Space

Ralf Kalmar, Bernd Rauch, Jörg Dörr, Peter Liggesmeyer

202211 citationsDOIOpen Access PDF

Abstract

Abstract The 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.

Topics & Concepts

InteroperabilityDigital transformationSpace (punctuation)Digital ecosystemAgricultureComputer scienceDomain (mathematical analysis)Work (physics)Data scienceKnowledge managementEngineeringWorld Wide WebGeographyMathematicsMathematical analysisMechanical engineeringOperating systemArchaeologyFood Supply Chain TraceabilitySmart Agriculture and AI
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