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  • 5. Folyóiratcikkek
  • Acta Polytechnica Hungarica
  • 3. 2023
  • 3.4. 2023 Volume 20, Issue No. 7.
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  • 5. Folyóiratcikkek
  • Acta Polytechnica Hungarica
  • 3. 2023
  • 3.4. 2023 Volume 20, Issue No. 7.
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Analysis of the Soil Selective Potassium Content, using Multifrequency EC Sensors

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http://hdl.handle.net/20.500.14044/38803
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  • 3.4. 2023 Volume 20, Issue No. 7. [14]
Abstract
The relative salinity of soil is an important issue in today’s sustainable, site-specific Precision Agricultural practice. The need to replace salt has an enormous impact on production costs, regarding current input prices. The standard method for measuring the salinity of a soil, based on a laboratory test method, is expensive and cumbersome and only the total salinity content can be determined. Growers need to get data faster and cheaper. With the usage of on-the-go soil sensors, this process can be significantly improved. This article presents the first step of developing a quick, cost-saving and easy-to-use measurement method for determining the selective potassium content on the spot, in real time. In our work, we developed a new measurement and calculation method using the analytical application of multifrequency conductometry, to determine selective salinity. It is proved that the electrical conductivity (EC) develops according to different functions, by applying solutions containing K+ ions with a defined concentration, by saturating the soil with a continuously, but reasonably varying measuring frequency. Based on this recognition, the selective salinity of soil can only be determined by interpolation from a frequency-series of EC measurements, in soils containing only one electrolyte.
Title
Analysis of the Soil Selective Potassium Content, using Multifrequency EC Sensors
Author
Horváth, János
Kátai, László
Szabó, István
xmlui.dri2xhtml.METS-1.0.item-date-issued
2023
xmlui.dri2xhtml.METS-1.0.item-rights-access
Open access
xmlui.dri2xhtml.METS-1.0.item-identifier-issn
1785-8860
xmlui.dri2xhtml.METS-1.0.item-language
en
xmlui.dri2xhtml.METS-1.0.item-format-page
18 p.
xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
digital agriculture, electrical conductivity, soil salinity, variable frequency, interpolation
xmlui.dri2xhtml.METS-1.0.item-description-version
Kiadói változat
xmlui.dri2xhtml.METS-1.0.item-identifiers
DOI: 10.12700/APH.20.7.2023.7.13
xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
Acta Polytechnica Hungarica
xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
2023
xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalVolume
20. évf.
xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalNumber
7. sz.
xmlui.dri2xhtml.METS-1.0.item-type-type
Tudományos cikk
xmlui.dri2xhtml.METS-1.0.item-subject-area
Műszaki tudományok - anyagtudományok és technológiák
xmlui.dri2xhtml.METS-1.0.item-publisher-university
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