Comparison of test strip, conductivity, and novel smartphone digital image colorimetry methods for field assessment of soil chloride and salinity

Abstract

Understanding the extent of salt-affected soils is important in agriculture for irrigation, crop selection and land management, and affordable smartphone-based techniques can broaden access to environmental analysis in resource-limited settings. A novel smartphone-based Digital Image Colorimetry (DImC) technique using colorimetric chloride test strips has been developed and compared to 3 other field techniques (direct soil conductivity (C_soil), soil extract solution conductivity (C_ext), titration test strips (TS)) and 1 lab-based method (chloride analyser (CA)) for the assessment of soil salinity. A survey of soils from a coastal saltmarsh and neighbouring farmland was conducted in Southwest Scotland and a rapid sample preparation method suitable for in-field use was evaluated. Comparison of each method with the reference method (CA) using correlation plots, Bland-Altman plots, and Concordance Correlation Coefficients, showed that the accuracy and precision of the methods decreased in the order C_ext > DImC ≈ TS > C_soil. The novel DImC method had good accuracy, although the limit of detection (LOD = 20.30 mg L^-1) and precision was poorer than C_ext. The analysis of field-wet soils enabled a rapid estimate of soil Cl^- in approximately 6 minutes and spatially interpolated maps of soil Cl^- concentration, prepared using smartphone location data, identified areas of elevated soil salinity. Each field analysis method had specific benefits, and the low cost, portability and lack of specialist equipment required for the DImC method demonstrated suitability for use in agriculture, citizen science or conservation settings where resources may be limited. The example presented demonstrates how smartphones may be used to broaden access to environmental analysis techniques.