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A platform to interpret soil attributes to support profitable farming systems

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Definition

The collection comprises data on estimated soil physical properties like clay, sand, pH, Cation Exchange Capacity (CEC), and organic carbon (OC), obtained through predictive models utilizing proximal soil sensors and spectroscopic techniques such as visible near-infrared (visNIR) and portable X-ray Fluorescence (pXRF) spectroscopy. The process involved collating freely available data, developing an automated site selection software, and conducting fieldwork at a mixed-farming property in Narrabri, NSW. A conditioned Latin hypercube sampling design was used for distribution sampling under both cropping and pasture. The SPEC-SINFERS soil inference system was created to predict additional properties like available water capacity (AWC) using pedotransfer functions (PTFs). A spectral library with over 8,000 soil samples was constructed, and multi-depth mapping of soil properties was explored. The accuracy of mapped soil properties was tested under data-rich and data-poor scenarios, using RMSE as a reference.

Temporal and Spatial Information

Dataset coverage starts
Dataset coverage ends

Data source details

Release Date
Spatial dimension
L'lara, Narrabri, NSW (-30° 1815' 18" S, 149° 8991' 39" E)
Contact Point
SIA-GRDC.datasets@sydney.edu.au;request.data@grdc.com.au
Rights
Available to third parties under terms and conditions to be agreed by co-owners and or under a data supply and license agreement
License
License upon request

Custom Fields

Contributing organisations

University of Sydney
Role: Owner
ROR: University of Sydney ROR

Grains Research and Development Corporation
Role: Owner
ROR: Grains Research and Development Corporation ROR

University of Sydney
Role: Manager
ROR: University of Sydney ROR


Contributing people

Alex McBratney
Role: Principal Investigator
ORCID iD: 0000-0003-0913-2643

Edward Jones
Role: Principal Investigator
Scopus Author ID: 55448387300


Licence type

Other

License upon request
Access rights type

Rights - Conditional

Available to third parties under terms and conditions to be agreed by co-owners and or under a data supply and license agreement
Related GRDC investments

  • US00087 - A platform to interpret soil attributes to support profitable farming systems
    GRDC Contract Code: UOS1706-005RTX
    Relationship: Output
Related publications

  • Mapping soil slaking index and assessing the impact of management in a mixed agricultural landscape
    DOI: 10.5194/soil-7-33-2021
    Relationship: Is supplement to

  • Evaluating low-cost portable near infrared sensors for rapid analysis of soils from South Eastern Australia
    DOI: 10.1016/j.geodrs.2019.e00240
    Relationship: Is supplement to

  • Mapping the Depth-to-Soil pH Constraint, and the relationship with cotton and grain yield at the within-field scale
    DOI: 10.3390/agronomy9050251
    Relationship: Is supplement to
Keywords

  • proximal soil sensors
  • visNIR
  • pXRF
  • spectral library
  • Mapping soil properties
  • predictive models
  • pedotransfer functions (PTFs)
  • Soil inference System (SINFERS)
Fields of Research (FoR) codes

  • 410602 - 410602 (unable to view classification)
  • 300206 - 300206 (unable to view classification)
Spatial coverage type
 Other

Related content

Relation Count
As a child of a Data Set 0