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

Apr 08 2022


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 […]



Source: DEMETER