Using image analysis to estimate the soil organic carbon content

Nenhuma Miniatura disponível

Data

2019

Título da Revista

ISSN da Revista

Título de Volume

Editor

Resumo

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.

Descrição

Palavras-chave

Citação

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.