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      Theory and Guidelines for the Application of the Geophysical Sensor EM38

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          Abstract

          Characterization of spatial soil variability is key for a better understanding of soils. To arrive at such information geophysical techniques have been used in the last two decades. Due to its easy handling, the geophysical sensor EM38 has widely been used to characterize agricultural areas. The theoretical background and usage of the EM38 is described, and based on multifaceted applications, the interpretation of the results as well as optimized steps for using it are outlined. Common principles and models of the apparent electrical conductivity (EC a) and strengths and limitations of this technique (calibration and temperature effects) are described as well as additional applications, such as the magnetic susceptibility, a comparison of measurements in vertical and horizontal modes, the use of weighted depth information and the influence of measurement conditions are addressed. Further a comparison of EM38 with other proximal soil sensors and fusion with other devices is described. The study reveals that EM38 is useful because the readings can reflect many different soil parameters.

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          Most cited references107

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          The Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics

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            A Mathematical Treatment of the Electric Conductivity and Capacity of Disperse Systems I. The Electric Conductivity of a Suspension of Homogeneous Spheroids

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              Apparent soil electrical conductivity measurements in agriculture

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                03 October 2019
                October 2019
                : 19
                : 19
                : 4293
                Affiliations
                Chair of Plant Nutrition, Technical University Munich, Emil-Ramann-Str. 2, D-85350 Freising, Germany; schmidhalter@ 123456wzw.tum.de
                Author notes
                [* ]Correspondence: kheil@ 123456wzw.tum.de
                Author information
                https://orcid.org/0000-0003-4106-7124
                Article
                sensors-19-04293
                10.3390/s19194293
                6806074
                31623394
                118f30f6-c298-4422-94a3-f5fb0ba9c654
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 23 July 2019
                : 27 September 2019
                Categories
                Article

                Biomedical engineering
                conductivity modelling,influence of external and internal factors,measurement modes,soil mapping,spatial prediction

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