Obtaining âusefulâ high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys

Alex. B. McBratney; Budiman Minasny; Brett M. Whelan

Obtaining âusefulâ high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys

In: Precision Agriculture â05

Authors:

Alex. B. McBratney

Alex. B. McBratney Alex.McBratney@acss.usyd.edu.au

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Budiman Minasny

Budiman Minasny
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Brett M. Whelan

Brett M. Whelan
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Type:: Chapter

Pages:: 503â510

DOI:: https://doi.org/10.3920/978-90-8686-549-9_063

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Apparent soil electrical conductivity (EC^a) mapping has become a widely used tool in precision agriculture, because of its perceived ability to reflect soil properties which may be useful for delineating management zones. EC^a has been used to infer soil clay content, profile thickness and chemical properties by means of regression. So far the approaches have not made the best use of the data - simple correlations are being sought without basic soil science reasoning. From knowledge of soil science, we expect strong and understandable relationships between certain soil properties and the apparent electrical conductivity. This paper attempts to derive a simple model relating soil EC^a to its contributing factors and illustrates the practical applications through an example of soil clay content estimation.

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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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Obtaining âusefulâ high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys

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Precision Agriculture â05

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Obtaining âusefulâ high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys

Precision Agriculture â05