Improving prediction of soil properties in precision agriculture by co-kriging with properties that are easily measured

R. Kerry; M.A. Oliver

Improving prediction of soil properties in precision agriculture by co-kriging with properties that are easily measured

In: Precision Agriculture â05

Authors:

R. Kerry

R. Kerry ¹Department of Geography, Brigham Young University, Provo, Utah, USA
ruth_kerry@byu.edu

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M.A. Oliver

M.A. Oliver ²Department of Soil Science, University of Reading, Reading, England

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Type:: Chapter

Pages:: 715â722

DOI:: https://doi.org/10.3920/978-90-8686-549-9_088

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Some characteristics of the soil can be measured easily in a semi-quantitative way (e.g. Munsell value) or are obtained automatically during laboratory analyses of other more âexpensiveâ properties (e.g. moisture correction factor, MCF). The aim is to determine whether the accuracy of prediction of âexpensiveâ properties can be improved by co-kriging with inexpensive properties. Four field sites in southern England were investigated. The results showed that MCF improved the accuracy of predictions at most sites, particularly where clay content was large. Munsell value was also useful where the variation in soil colour was large. Co-kriging with such data can improve the accuracy of maps of properties that are âexpensiveâ to measure without a proportional increase in cost.

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Precision Agriculture â05

E-Book ISBN:: 9789086865499

Publisher:: Wageningen Academic

Print Publication Date:: 24 Oct 2005

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Improving prediction of soil properties in precision agriculture by co-kriging with properties that are easily measured

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Precision Agriculture â05

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Precision Agriculture â05