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article · Soil Science Society of America Journal

Calibration of an apparent electrical conductivity sensor using capacitance probes for determining soil water content

20243 citationsOpen accessUniversity of the Free State

Abstract

Abstract Soil apparent electrical conductivity (EC a ) measurements, although more suitable for soil salinity quantification, are often used to determine volumetric soil water content, θ v , in site‐specific crop management. Generally, the approach is to develop a field‐specific calibration function between EC a and measured θ v , θ v(m) . Such a calibration function is possible when soil water dominates EC a at a field. When this is not the case, θ v(m) data taken over time may be helpful to develop a function. Data regarding θ v(m) can be costly and time‐consuming as soil samples are needed to measure bulk density and gravimetric soil water. We postulate that capacitance probes, which measure scaled frequency (SF) as an indicator of the dielectric constant to estimate θ v , can be used to establish EC a ‐ θ v calibration functions. Capacitance probes that simultaneously provide temperature readings allow for EC a to be temperature‐corrected to 25°C, enabling development of EC a25 ‐ θ v calibration functions. A field experiment was set up to establish whether SF readings can be used to estimate θ v , θ v(SF) , in structured high montmorillonite clay soils accurately and determine if EC a25 ‐ θ v(SF) calibration functions are possible. Our results revealed that a single SF‐ θ v(m) calibration function representing 12 probes, or a specific soil form, is impossible. Each capacitance probe should be calibrated separately. The parameters for EC a25 ‐ θ v(m) calibration functions were like EC a25 ‐ θ v(SF) functions. The R 2 for EC a25 ‐ θ v(m) calibration functions was higher compared to the EC a25 ‐ θ v(SF) functions. Further investigation of using capacitance probes to estimate θ v for developing EC a ‐ θ v functions is needed before this approach can be applied confidently.

Research topics

  • Soil Moisture and Remote Sensing
  • Geophysical and Geoelectrical Methods
  • Soil Geostatistics and Mapping

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DOI: 10.1002/saj2.20799

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