AgroDataCube and AGINFRA+: Operationalising Big Data for Agricultural Informatics

Authors

  • R. Knapen Wageningen Environmental Research, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands
  • R. Lokers Wageningen Environmental Research, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands
  • Y. van Randen Wageningen Environmental Research, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands
  • S. Janssen Wageningen Environmental Research, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands
  • H. Janssen Wageningen Environmental Research, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands

DOI:

https://doi.org/10.18174/FAIRdata2018.16273

Abstract

Big Data methods and tools are becoming widely adopted by the ICT industry and create new opportunities for data intensive science in the agro-environmental domain. However, Big Data adoption is still in its infancy for Agricultural Information Systems, and many barriers still exist for wider use of big data analysis ...

Published

2018-12-10