What is it about?
This study illustrates the successful application of near-infrared reflectance spectroscopy extended with chemometric modeling to profile Cd, Cu, Pb, Ni, Cr, Zn, Mn, and Fe in cultivated and fertilized Haplic Luvisol soils. The partial least-squares regression (PLSR) models were built to predict the elements present in the soil samples at very low contents. A total of 234 soil samples were investigated, and their reflectance spectra were recorded in the spectral range of 1,100-2,500 nm.
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Why is it important?
High-throughput monitoring of fundamental soil parameters, including chemical profiling of essential components, is strongly desired in modern agriculture. Different spectroscopic techniques offer these possibilities and, thus, are often used for proximity sensing. When combined with the chemometric modeling of spectra, they can replace the classic and time-consuming laboratory measurements and provide an innovative and automatic framework for high-throughput monitoring and for precision agriculture (an approach to farm management that uses information technology, including spectroscopic and chemometric methods, to ensure that crops and soil receive what they need for optimal health and productivity).
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This page is a summary of: Monitoring the concentrations of Cd, Cu, Pb, Ni, Cr, Zn, Mn and Fe in cultivated Haplic Luvisol soils using near-infrared reflectance spectroscopy and chemometrics, Talanta, January 2023, Elsevier,
DOI: 10.1016/j.talanta.2022.123749.
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