Lalitha M. auteur aut IRD Dharumarajan S. auteur aut IRD Gomez Cécile auteur aut IRD Hegde R. auteur aut IRD Koyal A. auteur aut IRD Khandal S. auteur aut IRD Shashikumar B. N. auteur aut IRD Parvathy S. auteur aut IRD text journalArticle eng text/pdf born digital access The present study assessed the visible and short wave infrared (VNIR-SWIR) laboratory spectroscopy coupled random forest regression (RF) technique for predicting soil properties in the southern Karnataka Plateau, India. The spectral data acquired for about 228 profile samples were used to predict key soil properties. The RF model fits well for the spectral prediction of clay (R-2 = 0.65), sand (R-2 = 0.60), cation exchange capacity (R-2 = 0.74), field capacity (R-2 = 0.65) and permanent wilting point (R-2 = 0.72). Wherein soil organic carbon was poorly predicted with an R-2 of 0.22 and RPD of 1.2 due to its lower content and narrow range (0.8 to 20 g kg(-1)). The spectral assessment by PCA showed that the first (50%) and third (34%) components had high spectral variation and significantly correlated with soil properties such as pH, CEC, clay, FC, and PWP related to wavelengths indicating clay minerals and iron oxides. However, the second component had less spectral variation (13%) that is related to wavelengths indicating various organic components and correlated well with SOC. Thus, the VNIR-SWIR spectroscopy could be a suitable supplementary method for rapidly predicting soil properties related to clay minerals and iron oxides. specialized Soil survey laboratory VNIR-SWIR spectroscopy soil properties random forest regression semiarid tropical INDE ZONE TROPICALE ZONE SEMIARIDE 068 082 [Early access] [25 ] 2022 0365-0340 https://www.documentation.ird.fr/hor/fdi:010086379 10.1080/03650340.2022.2134565 0365-0340 [F B010086379] https://www.documentation.ird.fr/hor/fdi:010086379 https://www.documentation.ird.fr/intranet/publi/2022-12/010086379.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2022-12-09 2025-02-24 fdi:010086379 fre