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Reason: UA Roseworthy data collection. Please contact Rhiannon Schilling (PIRSA-SARDI) Rhiannon.Schilling@sa.gov.au to request access.

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Machine learning to extract maximum value from soil and crop variability, Raw datasets

Version 2 2024-02-20, 05:09
Version 1 2022-02-28, 00:51
dataset
posted on 2024-02-20, 05:09 authored by Rakesh DavidRakesh David, Rhiannon SchillingRhiannon Schilling, Glenn McDonaldGlenn McDonald

Pre-processed ML input data for 4 Roseworthy paddocks, B4, B3, E2, E5. Paddock names are included in the file names.


Data includes boundary information, EM38, elevation, yield associated moisture percentage. UA and External funding agency data collection. Please contact Rhiannon Schilling (PIRSA-SARDI) Rhiannon.Schilling@sa.gov.au or Genn McDonald glenn.mcdonald@adelaide.edu.au to request access to data.

Funding

GRDC: UOA2002-007RTX

History

GRDC contract code

GRDC: UOA2002-007RTX

GRDC project title

Machine learning to extract maximum value from soil and crop variability

Contact email address

library@adelaide.edu.au

Start date for this data collection

2007-01-01

End date for this data collection

2011-12-31

Spatial coverage

Roseworthy, South Australia

Access rights type

  • Embargoed

Usage metrics

    Grains Research and Development Corporation Supported Research

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