Using image analysis to estimate the soil organic carbon content
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2019
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Soil test for organic carbon content using the Walkley-Black standard method is a laborious task that takes almost 5 working days to report the results. In order to improve lab analysis efficiency, a new analytical method using digital images is proposed. Using multivariate image analysis (MIA) soil organic carbon (SOC) contents can be determined in <3 days. The MIA method for SOC was developed using 177 soil samples collected from 3 regions of Brazil (North, West Central, and Northeast). Digital images of soil samples were correlated with the organic carbon contents determined by the Walkley-Black standard method using multivariate regression algorithms. In the end, MIA model employing a machine learn approach using least squares support vector machine (LS-SVM), presented an excellent correlation, r2 > 0.93, between image data and SOC contents measured by the standard analytical method. The proposed MIA method is eco-friendly, cheap, fast, and a clean alternative that can be employed by soil testing laboratories for measuring SOC contents.
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MORAIS, Pedro Augusto de Oliveira et al. Using image analysis to estimate the soil organic carbon content. Microchemical Journal, Amsterdam, v. 147, p. 775-781, 2019. DOI: 10.1016/j.microc.2019.03.070. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0026265X19301183?via%3Dihub. Acesso em: 14 jun. 2023.