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New publication: The importance of data quality assessment for machinery data in the field of agriculture

Researchers from DEMETER, Morteza Abdipourchenarestansofla of John Deere and Christof Schroth of  Fraunhofer IESE have a new publication titled ‘The importance of data quality assessment for machinery data in the field of agriculture”. The pilot study in DEMETER ‘In-Service Monitoring of Agricultural Machinery” is used to investigate data quality issues for machinery data. This use...
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How to deploy a real-world Agriculture Data Space

In this article, our project partner, Engineering, discuss how to deploy a real-world Agriculture Data Space in practice. Overview of the European context Data-driven innovation plays a key role in the current transformation of our society and organizations, starting with data coming from users involved in the use of social networking tools, web and mobile...