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Communication

Low-Input Estimation of Site-Specific Lime Demand Based on Apparent Soil Electrical Conductivity and In Situ Determined Topsoil pH

1
Department of Biobased Products and Energy Crops (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, 70599 Stuttgart, Germany
2
Institute of Agricultural Engineering, Kiel University, Olshausenstr. 40, 24098 Kiel, Germany
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(23), 5280; https://doi.org/10.3390/s19235280
Submission received: 31 October 2019 / Revised: 28 November 2019 / Accepted: 28 November 2019 / Published: 30 November 2019
(This article belongs to the Special Issue Sensors in Agriculture 2019)

Abstract

Site-specific liming helps increase efficiency in agricultural production. For adequate determination of the lime demand, a combination of apparent soil electrical conductivity (ECa) and topsoil pH can be used. Here, it was hypothesized that this can also be done at low-input level. Field measurements using the EM38 MK I (Geonics, Canada) were conducted on three experimental sites in north Germany in 2011. The topsoil pH was measured based on two approaches: on the field using a handheld pH meter (Spectrum-Technologies Ltd., Bridgend, UK) with a flat electrode (in situ), and in the lab using standard equipment (ex situ). Both soil ECa (0.4–35.9 mS m−1) and pH (5.13–7.41) were heterogeneously distributed across the sites. The same was true of the lime demand (−1.35–4.18 Mg ha−1). There was a significant correlation between in situ and ex situ determined topsoil pH (r = 0.89; p < 0.0001). This correlation was further improved through non-linear regression (r = 0.92; p < 0.0001). Thus, in situ topsoil pH was found suitable for map-overlay with ECa to determine the site-specific lime demand. Consequently, the hypothesis could be confirmed: The combined use of data from EM38 and handheld pH meters is a promising low-input approach that may help implement site-specific liming in developing countries.
Keywords: liming; precision farming; EM38; soil acidity; digital soil mapping liming; precision farming; EM38; soil acidity; digital soil mapping

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MDPI and ACS Style

von Cossel, M.; Druecker, H.; Hartung, E. Low-Input Estimation of Site-Specific Lime Demand Based on Apparent Soil Electrical Conductivity and In Situ Determined Topsoil pH. Sensors 2019, 19, 5280. https://doi.org/10.3390/s19235280

AMA Style

von Cossel M, Druecker H, Hartung E. Low-Input Estimation of Site-Specific Lime Demand Based on Apparent Soil Electrical Conductivity and In Situ Determined Topsoil pH. Sensors. 2019; 19(23):5280. https://doi.org/10.3390/s19235280

Chicago/Turabian Style

von Cossel, Moritz, Harm Druecker, and Eberhard Hartung. 2019. "Low-Input Estimation of Site-Specific Lime Demand Based on Apparent Soil Electrical Conductivity and In Situ Determined Topsoil pH" Sensors 19, no. 23: 5280. https://doi.org/10.3390/s19235280

APA Style

von Cossel, M., Druecker, H., & Hartung, E. (2019). Low-Input Estimation of Site-Specific Lime Demand Based on Apparent Soil Electrical Conductivity and In Situ Determined Topsoil pH. Sensors, 19(23), 5280. https://doi.org/10.3390/s19235280

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