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Near-Infrared Spectroscopy Coupled with Chemometrics Tools: A Rapid and Non-Destructive Alternative on Soil Evaluation

Author:
Carra, Jéssica Bassetto, Fabris, Marciéli, Dieckow, Jeferson, Brito, Osmar Rodrigues, Vendrame, Pedro Rodolfo Siqueira, Macedo Dos Santos Tonial, Larissa
Source:
Communications in soil science and plant analysis 2019 v.50 no.4 pp. 421-434
ISSN:
1532-2416
Subject:
chemometrics, models, near-infrared spectroscopy, organic carbon, phosphorus, potassium, reflectance, soil properties, soil sampling, total nitrogen
Abstract:
Near-infrared (NIR) spectroscopy is a rapid, non-destructive and accurate technique for analyzing a wide variety of samples, thus, the growing interest of using this technique in soil science. The objective of this study was to evaluate the potential of NIR spectroscopy to predict organic carbon (OC), total nitrogen (TN), available phosphorus (P) and available potassium (K) in the soil. NIR spectra from 20 cm³ of soil samples were acquired on the range of 750 to 2500 nm in diffuse reflectance mode, resolution of 16 cm⁻¹ and 64 scans. Eight models of calibration/validation were constructed. Calibration and validation models showed that the predictive potential of NIR varied with the specific soil property (OC, TN, P and K) under evaluation and according to the methodology employed in the model construction (cross-validation or test set). Good prediction models were obtained for OC and TN content based on the statistical parameters. Test set methodology was able to predict soil OC, TN, P, and K better than cross-validation methodology.
Agid:
6317041