Ka. Sudduth et al., Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture, COMP EL AGR, 31(3), 2001, pp. 239-264
Soil apparent electrical conductivity (EC,) has been used as a surrogate me
asure for such soil properties as salinity, moisture content, topsoil depth
(TD), and clay content. Measurements of ECa can be accomplished with comme
rcially available sensors and can be used to efficiently and inexpensively
develop the dense datasets desirable for describing within-field spatial va
riability in precision agriculture. The objective of this research was to i
nvestigate accuracy issues in the collection of soil ECa data. A mobile dat
a acquisition system for ECa was developed using the Geonics EM38 (1) senso
r. The sensor was mounted on a wooden cart pulled behind an all-terrain veh
icle, which also carried a GPS receiver and data collection computer. Tests
showed that drift of the EM38 could be a significant fraction of within-fi
eld ECa variation. Use of a calibration transect to document and adjust for
this drift was recommended. A procedure was described and tested to evalua
te positional offset of the mobile EM38 data. Positional offset was due to
both the distance from the sensor to the GPS antenna and the data acquisiti
on system time lags. Sensitivity of ECa to variations in sensor operating s
peed and height was relatively minor. Procedures were developed to estimate
TD on claypan soils from ECa measurements. Linear equations of an inverse
or power function transformation of ECa provided the best estimates of TD.
Collection of individual calibration datasets within each surveyed field wa
s necessary for best results. Multiple measurements of ECa on a field were
similar if they were obtained at the same time of the year. Whole-field map
s of ECa-determined TD from multiple surveys were similar but not identical
. There was a significant effect of soil moisture and temperature differenc
es across measurement dates. Classification of measurement dates as hot vs.
cold and wet vs, dry provided TD estimations nearly as accurate as when in
dividual point soil moisture and temperature data were included in the cali
bration equation. (C) 2001 Elsevier Science B.V. All rights reserved.