Using multi-frequency electrical conductivity measurement to determine the selective salinity in a two-component salt solution
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Kuupäev
2023
Kättesaadav alates
Autorid
Horváth, J.
Kátai, L.
Czinkota, I.
Szabó, I.
Ajakirja pealkiri
Ajakirja ISSN
Köite pealkiri
Kirjastaja
Estonian University of Life Sciences
Abstrakt
Digital technologies can help farmers produce safe, sustainable, high-quality food
while contributing to the fight against effects of abiotic and edaphic factors. Due to digitalization,
a paradigm shift occurred in agriculture, which boosted sensor technology's rapid development,
especially soil sensors. Using sensors and the digital knowledge of soil properties, farmers can
better understand the needs of the fields and cultivated plants on a micro-scale, thereby saving
resources and putting less strain on our environment. The relative salinity of our soils is an
important aspect because of the impact on production costs and yield. The future of site-specific
crop production is moving towards a sensor-based on-the-go measurement approach because
obtaining important soil characteristics quickly and cheaply is still one of the biggest challenges
in precision agriculture today. Measuring soil electrical conductivity (EC) could offer an
opportunity to overcome these limitations if the different salt components of soil could be
separated by analytical methods. In our study, we present a calibration model based on
conductometry with which the selective potassium and calcium content can be determined in the
laboratory under controlled conditions. Solutions containing K+ and Ca2+ cations in the
concentration determined in the experimental model were mixed and measured by changing the
frequency of the measuring current. In this study, measurements proved that a mathematical
relationship can be used to describe the relationship between the composition and concentration
of the two-component solution, the measurement frequency and the conductivity. The potassium
(K) and calcium (Ca) content of the solution can be separated from each other, and a regression
calibration curve can be recorded, from which the proportion of potassium and calcium in the
given solution can be determined as a function.
Kirjeldus
Received: January 12th, 2023 ; Accepted: April 27th, 2023 ; Published: July 19th, 2023 ; Correspondence: Horvath.Janos.7@phd.uni-mate.hu
Märksõnad
multi-frequency, electrical conductivity, soil salinity, digital agriculture, soil sensor, articles