Abstract

As the spectroscopy technique is quick, simple to use, and free of chemical extractants, it has numerous advantages over traditional analytical procedures. This study uses VIS-NIR reflectance spectroscopy to measure soil total carbon (C), accessible phosphorus (P), and exchangeable potassium (K). 877 different soil samples were taken in all from different agricultural fields in Mali. To determine the chemical parameters of the soil, multivariate analysis was used on the soil spectra that were obtained. The Principle Component Regression (PCR) outperformed the Partial Least Square Regression, according to the findings (PLSR). PLSR accounts for 0.29 of the coefficient of determination (R2) for C, P, and K, respectively. Nonetheless, this work shows the VIS-NIR reflectance spectroscopy’s potential for studying the chemical makeup of soils.