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Forecasting soil agrochemical properties from ATR-MIR spectroscopy and partial least-squares regression analysis

AuthorsHernández, Zulimar ; Recio Vázquez, Lorena ; Pérez Trujillo, J. P.; Sanz Perucha, Jesús ; Álvarez, Ana María; Carral, Pilar; Almendros Martín, Gonzalo
Issue Date2-Jul-2012
AbstractA valid characterization of agroecosystems requires explaining different aspects of its functioning through the analysis of a large number of independent variables. Nowadays, the use of spectroscopic techniques lead to a rapid and efficient field monitoring of anthropogenic activities on soil; which enables environmental modelling and the development of precision agriculture. In general non-destructive techniques are faster and less expensive than conventional wet chemical analytical methods, requiring small amounts of sample and simple or no sample pre-processing. Nevertheless, quantitative spectral analyses require sophisticated statistical techniques, such as partial least-squares (PLS) regression, in order to calibrate the soils¿ response from spectral characteristics. With the aim to determine the extent to which spectral information may led to valid, soil-dependant predictions of a series of agrochemical properties, soil samples affected by human activities were analyzed by attenuated total reflectance (ATR) mid-infrared (MIR) spectroscopy (4000 to 400 cm-1) and PLS regression. Routine soil physical and chemical variables, such as organic matter (OM), total N, amorphous materials, heavy metals or nematode biodiversity were determined. Preliminary results show that the intensity of the 2920 cm-1 IR band shows high correlation with the total OM content, regardless of the OM quality. The application of this spectroscopic technique lead to valid forecasting of the amount of OM, amorphous oxides or the abundance of phytoparasitic nematodes in a short-time and cost-effective way. Such an approach is especially helpful to optimize field studies, and to decide previously the number of samples to be collected during the sampling campaigns.
Appears in Collections:(IQOG) Comunicaciones congresos
(MNCN) Comunicaciones congresos
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