Soil texture prediction using portable X-ray fluorescence spectrometry and visible near-infrared diffuse reflectance spectroscopy

• Published in: Geoderma Vol. 376; p. 114553
• Main Authors: Benedet, Lucas, Faria, Wilson Missina, Silva, Sérgio Henrique Godinho, Mancini, Marcelo, Demattê, José Alexandre Melo, Guilherme, Luiz Roberto Guimarães, Curi, Nilton
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.10.2020
• Subjects: B horizons; Brazil; clay; fluorescence; normal distribution; Pedometrics; prediction; Proximal sensors; Random forest; reflectance spectroscopy; sand; silt; soil texture; spectral analysis; support vector machines; texture; Tropical soils; X-radiation; X-ray fluorescence spectroscopy; Brazil; Tropical soils; Random forest; Pedometrics; Proximal sensors

•Prediction of soil texture via pXRF and Vis-NIR DRS data was evaluated.•Combination of A and B horizons data resulted in predictions with R2 above 0.80.•In general, the best predictions were achieved using pXRF data.•RF algorithm outperformed other algorithms for soil texture prediction.•The best p...