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

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

Agricultural Systems, 2019, vol. 169, issue C, 24-30

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.

Keywords: Soil carbon auditing; Stratified random sampling; Prediction error; Map uncertainty; Value of information; Julia (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:169:y:2019:i:c:p:24-30

DOI: 10.1016/j.agsy.2018.11.007

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