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This article in AJ

  1. Vol. 95 No. 3, p. 472-482
     
    Received: July 10, 2001


    * Corresponding author(s): SudduthK@missouri.edu
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doi:10.2134/agronj2003.4720

Comparison of Electromagnetic Induction and Direct Sensing of Soil Electrical Conductivity

  1. K. A. Sudduth *a,
  2. N. R. Kitchena,
  3. G. A. Bollerob,
  4. D. G. Bullockb and
  5. W. J. Wieboldc
  1. a USDA-ARS, Cropping Syst. and Water Qual. Res. Unit, 269 Agric. Eng. Bldg., Univ. of Missouri, Columbia, MO 65211
    b Dep. of Crop Sci., Univ. of Illinois, 1102 S. Goodwin Ave., Urbana, IL 61801
    c Dep. of Agron., Univ. of Missouri, 214 Waters Hall, Columbia, MO 65211

Abstract

Apparent profile soil electrical conductivity (ECa) can be an indirect indicator of a number of soil physical and chemical properties. Commercially available ECa sensors can be used to efficiently and inexpensively develop the spatially dense data sets desirable for describing within-field spatial soil variability in precision agriculture. The objective of this research was to compare ECa measurements from a noncontact, electromagnetic induction–based sensor (Geonics EM38) 1

1 Mention of trade names or commercial products is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA or the Univ. of Illinois.
to those obtained with a coulter-based sensor (Veris 3100) and to relate ECa data to soil physical properties. Data were collected on two fields in Illinois (Argiudoll and Endoaquoll soils) and two in Missouri (Aqualfs). At 12 to 21 sampling sites in each field, 120-cm-deep soil cores were obtained for soil property determination. Depth response curves for each ECa sensor were derived or obtained from the literature. Within a single field and measurement date, EM38 data and Veris deep (0–100 cm depth) data were most highly correlated (r = 0.74–0.88). Differences between ECa sensors were more pronounced on the more layered Missouri soils due to differences in depth-weighted response curves. Correlations of ECa with response curve–weighted clay content and cation exchange capacity were generally highest and most persistent across all fields and ECa data types. Significant correlations were also seen with organic C on the Missouri fields and with silt content. Significant correlations of ECa with soil moisture, sand content, or paste EC were observed only about 10% of the time. Data obtained with both types of ECa sensors were similar and exhibited similar relationships to soil physical and chemical properties.

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Copyright © 2003. American Society of AgronomyPublished in Agron. J.95:472–482.