The University of Adelaide
Browse

File(s) not publicly available

Reason: External funding agency data access requirements

University of Adelaide National Sodic field trial reference dataset for GRDC Machine Learning Project- UOA2002-007RTX.

Version 2 2024-02-20, 05:10
Version 1 2022-02-28, 01:21
dataset
posted on 2024-02-20, 05:10 authored by Rakesh DavidRakesh David, Rhiannon SchillingRhiannon Schilling
The collection includes raw and processed data for machine learning compliance. Includes data from the National Sodic Field Trials - 16 wheat varieties grown at two sites with sodic subsoils - Mallala and Roseworthy (368 plots), spanning 2017-2019. Raw data available as excel includes soil cores information, grain yield, biomass, plant physiology, tolerance sensitive traits, genetic markers. In addition to the raw data the collection includes pre-processed versions of the dataset compliant with machine learning analytics.

UA and External funding agency data collection. Please contact Rhiannon Schilling (PIRSA-SARDI) Rhiannon.Schilling@sa.gov.au to request access to data

Funding

GRDC UOA2002-007RTX

History

GRDC contract code

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

2017-01-01

End date for this data collection

2019-12-31

Spatial coverage

Mallala and Roseworthy, South Australia

Access rights type

  • Restricted

Access rights description

External funding agency data access requirements

Usage metrics

    Grains Research and Development Corporation Supported Research

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC