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The use of sensors that accurately detect soil nutrient needs can help.
The high background N2 concentration in the atmosphere makes it difficult to detect soil N2 emissions.
Soil sensing using infrared spectroscopy has been proposed as an alternative to conventional soil analysis to detect soil contamination.
This chapter presents the results of different noninvasive methods to detect soil patterns, focusing on the methodological aspects.
Our results demonstrate that the new GC method is extremely sensitive, being able to detect soil HA contents as low as 0.3 μg N kg− 1 dry soil.
In order to overcome these uncertainties, Electrical Resistivity Tomography (ERT) appears as a valuable non-invasive tool to detect soil heterogeneities and to monitor biodegradation.
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While we used duplicate Kato-Katz thick smears and the FLOTAC dual technique on a single stool sample to detect soil-transmitted helminth and S. mansoni infections and duplicate urine filtrations from a single urine for S. haematobium diagnosis, the true helminth prevalences in our study were likely considerably higher.
This pilot study demonstrates the feasibility of adapting the diffuse reflectance spectroscopy (DRS) approach using the visible near infrared (VisNIR) spectra for detecting soil As pollution.
In the present paper, short-delay, near-grazing incidence multipath from the L5-band GPS SNR is assessed for its value in detecting soil moisture and snow depth.
While no significant effect of N fertilization on CO2 emission was detected, soil mulching had a significant effect on the seasonal variation of CO2 fluxes.
In this paper, the effort was focused on demonstrating the sensing capability of the chemiluminescence-based device for detecting soil deformation or movement in the event of a landslide.
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