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Using model predictions of soil carbon in farm-scale auditing - A software tool

Author

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  • de Gruijter, J.J.
  • Wheeler, I.
  • Malone, B.P.

Abstract

We introduce a software tool for optimal sampling design in the context of farm-scale soil carbon auditing, where the amount of sequestered soil carbon will be estimated from a random sample. Existing tools do not use available ancillary information, or do not have the functionality needed for farm-scale soil carbon auditing.

Suggested Citation

  • de Gruijter, J.J. & Wheeler, I. & Malone, B.P., 2019. "Using model predictions of soil carbon in farm-scale auditing - A software tool," Agricultural Systems, Elsevier, vol. 169(C), pages 24-30.
    • Handle: RePEc:eee:agisys:v:169:y:2019:i:c:p:24-30
    DOI: 10.1016/j.agsy.2018.11.007
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    References listed on IDEAS

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    1. Sophie Baillargeon & Louis‐Paul Rivest, 2009. "A General Algorithm for Univariate Stratification," International Statistical Review, International Statistical Institute, vol. 77(3), pages 331-344, December.
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    Cited by:

    1. Ehlers, Melf-Hinrich & Huber, Robert & Finger, Robert, 2021. "Agricultural policy in the era of digitalisation," Food Policy, Elsevier, vol. 100(C).

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