Estimating Soil Solution Nitrate Concentration from Dielectric Spectra Using Partial Least Squares Analysis Birrell, Stuart Chighladze, Giorgi Kaleita, Amy Birrell, Stuart Kaleita, Amy Logsdon, Sally
dc.contributor.department Agricultural and Biosystems Engineering 2018-02-13T07:06:34.000 2020-06-29T22:38:40Z 2020-06-29T22:38:40Z 2013-03-11 2012-09-12
dc.description.abstract <p>Fast and reliable methods for in situ monitoring of soil NO<sub>3</sub>–N concentration could help guide efforts to reduce NO<sub>3</sub>–N losses to ground and surface waters from agricultural systems. While several studies have been done to indirectly estimate NO<sub>3</sub>–N concentrations from time domain spectra, no research has been conducted using a frequency domain technique. Hence, the goal of this laboratory study was to estimate NO<sub>3</sub>–N concentrations from frequency-response data obtained in a frequency range of 5 Hz to 13 MHz. Dielectric spectra of soil samples wetted to five different volumetric water contents (VWC) with 24 solutions containing different concentrations of KNO<sub>3</sub> and KCl were analyzed using a partial least squares (PLS) regression method. Global models could not estimate NO<sub>3</sub>–N concentrations with sufficient accuracy. Models based on the imaginary part of the permittivity were better than those based on the real part. The PLS model estimates were improved when low VWC data and high Cl<sup>−</sup> concentration were eliminated, reducing the RMSE for NO<sub>3</sub>–N from 57 to 28 mg L<sup>−1</sup>. The best results were obtained when the PLS models were constructed at fixed VWC levels using the data without high Cl<sup>−</sup> concentration. The performance of these models improved with increasing VWC level, reaching the lowest RMSE of 18 mg L<sup>−1</sup> at VWC of 0.30 m<sup>3</sup> m<sup>−3</sup>.</p>
dc.description.comments <p>This article is from <em>Soil Science Society of America Journal </em>76, no. 5 (2012): 1536–1547, doi:<a href="" target="_blank">10.2136/sssaj2011.0391</a>.</p>
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dc.identifier.articleid 1573
dc.identifier.contextkey 3885762
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/296
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:15:16 UTC 2022
dc.source.uri 10.2136/sssaj2011.0391
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Life Sciences
dc.subject.disciplines Soil Science
dc.title Estimating Soil Solution Nitrate Concentration from Dielectric Spectra Using Partial Least Squares Analysis
dc.type article
dc.type.genre article
dspace.entity.type Publication
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