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Digital Agriculture | Data for Research and Decision


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A review of Federation University Australia's research and engagement in Digital Agriculture

Published in: Technology
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Digital Agriculture | Data for Research and Decision

  1. 1. Centre for eResearch and Digital Innovation A/Prof Peter Dahlhaus A/Prof Helen Thompson 10st February 2017
  2. 2. Federation University Australia Origins: 1870 Ballarat School of Mines Campuses: Ballarat, Gippsland, Wimmera, Berwick, Brisbane, Malaysia Faculties & Schools: (dual sector) • Business • Education & Arts • Health • Science & Technology • Industry Skills • Federation College
  3. 3. Federation University Australia University of New England University of Southern Queensland Southern Cross University Central Queensland University University of the Sunshine Coast Precision Agriculture Flagship Water Landscapes Future Collaboration: research, PhD students, facilities
  4. 4. Centre for eResearch and Digital Innovation CeRDI - ~ 30 staff: multidisciplinary mix of researchers, technical, support and administration Unaligned to Faculties - report to DVCR
  5. 5. x = CeRDI capability: eResearch National & FedUni research priorities CeRDI Government, industry and community needs Research expertise Technological expertise Real world applications
  6. 6. A variety of applications: agriculture, biodiversity, catchment management, citizen science, climate change, endangered species, emergency management, fire, groundwater, history, municipal information, natural resource management, regional planning, sports participation, etc. Allows integration of cross-disciplinary data sets CeRDI capability: spatial data portals
  7. 7. Depth to watertable Federates around 80 groundwater data sets from 8 custodians. Some data are real-time, some are scheduled updates, some are linked data
  8. 8. Bore parameters Information on over 400,000 bores accessed from the source databases
  9. 9. Predicted depth to watertable and groundwater quality
  10. 10. 3d model of aquifers
  11. 11. 204,146 Sessions 83,135 Users 488,852 Pageviews 60% Returning visitors Primary impact Site usage has grown: • 43% industry users, • 20% government, • 11% community, • 11% water authority, • 10% research. Analytics
  12. 12. Practice impact: reduced time finding data, preparing data, responding to enquiries. Sector impact: changed data custodian’s thoughts on how to provision data. of Hydroinformatics (open access) “VVG technology provides an opportunity to add extra data sets without having to rebuild.”
  13. 13. International data interoperability standards Groundwater Interoperability Experiment 2 (GW2IE) Soil Data Interoperability Experiment (Soil IE) Collaborators include: CSIRO, European Commission, US Department Agriculture, World Soil Information (ISRIC), Food and Agriculture Organisation (FAO), Landcare Research NZ, Geological Surveys of US, Canada, France, Germany, New Zealand, Poland, UK, etc.
  14. 14. Open Geospatial Consortium (OGC) 2015 soil data interoperability experiment. Designing, implementing and testing a soil data exchange standard.
  15. 15. The Research and Innovation Network for Precision Agriculture Systems
  16. 16. Federating farm trial data for all Australia
  17. 17. Crop disease diagnostics and information
  18. 18. Historical commodity price metrics
  19. 19. Climate change predictions (spatial), impacts and adaptation information.
  20. 20. Digital soil mapping (PhD project completed 2016)
  21. 21. Soil moisture and temperature probes (telemetered data) Includes SMS/email alert services
  22. 22. Soil eLibrary (grey documents, webpages, videos, etc.) Spatial mapping portal (maps, tests, profiles, etc.)
  23. 23. Federating soil data from SLGA & DEDJTR
  24. 24. Community contributed soil test data
  25. 25. Centre for eResearch and Digital Innovation 27 CeRDI capability in eResearch Collaborate with our research, industry and community partners: To take advantage of the eResearch tools to:  Interoperably integrate data (open data, research data, big data, sensor data, legacy data, crowdsourced data… any data)  Answer the frequently asked data/information questions  Dynamically generate conceptual and predictive models  Make new discoveries and avoid repeating past research  Measure the impacts on decision making and facilitate practice change
  26. 26. 28 CeRDI collaborative investment opportunities in eResearch Opportunities exist for the CBA to co-invest with our research, industry and community partners in: Centre of Excellence? CRCs?