Data/hora: 15/06/2024 18:22:58

Biblioteca(s): | Embrapa Arroz e Feijão.
Data corrente: | 23/04/2019
Data da última atualização: | 12/02/2020
Autoria: | MORAIS, P. A. de O.; SOUZA, D. M. de; MADARI, B. E.; SOARES, A. da S.; OLIVEIRA, A. E. de.
Afiliação: | PEDRO AUGUSTO DE OLIVEIRA MORAIS, UFG; DIEGO MENDES DE SOUZA, CNPAF; BEATA EMOKE MADARI, CNPAF; ANDERSON DA SILVA SOARES, UFG; ANSELMO ELCANA DE OLIVEIRA, UFG.
Título: | Using image analysis to estimate the soil organic carbon content.
Ano de publicação: | 2019
Fonte/Imprenta: | Microchemical Journal, v. 147, p. 775-781, June 2019.
ISSN: | 0026-265X
DOI: | 10.1016/j.microc.2019.03.070
Idioma: | Inglês
Conteúdo: | 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.
Thesagro: | Carbono; Solo Orgânico.
Thesaurus Nal: | Chemometrics; Green chemistry; Soil test values.
Categoria do assunto: | P Recursos Naturais, Ciências Ambientais e da Terra
Registro original: | Embrapa Arroz e Feijão (CNPAF)
Exemplares: | CNPAF - (35514-1) - UPC - AP - DD - 2019 -  - 2019 - DIS