Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture

Citation
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
Citations number
34
Categorie Soggetti
Agriculture/Agronomy
Journal title
COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN journal
01681699 → ACNP
Volume
31
Issue
3
Year of publication
2001
Pages
239 - 264
Database
ISI
SICI code
0168-1699(200105)31:3<239:AIIEIS>2.0.ZU;2-4
Abstract
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.