Assessment of soil quality of arable soils in Hungary using DRIFT spectroscopy and chemometrics

Nowadays, there is a great demand for precise, sensitive and adequate indicators for evaluating the quality of soils. In spite of recent developments in this field, a fast, non-destructive method for soil quality assessment has not yet been evaluated. The objective of this study was to investigate the possibility of using diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy to estimate soil quality in the form of soil quality index (SQI). A set of soil samples (n = 89) was scanned and regression was carried out using a combination of DRIFT spectroscopy and partial least-squares (PLS). The reliability of the DRIFT-PLS calibration model (n = 53) was acceptable (coefficient of determination, R-2 = 0.49; residual prediction deviation, RPD = 1.4) for the estimating of the SQL values. The validation of the calibration model using a validation set (n = 36) of unknown samples also resulted in good acceptability with R-2 = 0.68 and RPD = 1.85. The DRIFT-PLS based model could provide a rapid, cheap estimate of SQI values and subsequently of soil quality by taking into account the integrated effects of the mineralogical and organic components of the soil. This approach could be useful to monitor soil quality under conditions where the analysis of a large number of soil samples is required. (C) 2016 Elsevier B.V. All rights reserved.