Data/hora: 09/06/2024 06:29:28

Biblioteca(s): | Embrapa Arroz e Feijão.
Data corrente: | 28/05/2020
Data da última atualização: | 28/05/2020
Autoria: | MORAIS, P. A. de O.; SOUZA, D. M. de; MADARI, B. E.; OLIVEIRA, A. E. de.
Afiliação: | PEDRO AUGUSTO DE OLIVEIRA MORAIS, UFG; DIEGO MENDES DE SOUZA, CNPAF; BEATA EMOKE MADARI, CNPAF; ANSELMO ELCANA DE OLIVEIRA, UFG.
Título: | A computer-assisted soil texture analysis using digitally scanned images.
Ano de publicação: | 2020
Fonte/Imprenta: | Computers and Electronics in Agriculture, v. 174, 105435, July 2020.
ISSN: | 0168-1699
DOI: | https://doi.org/10.1016/j.compag.2020.105435
Idioma: | Inglês
Conteúdo: | A computer-assisted soil texture analysis is presented using digitally scanned soil images of 177 soil samples collected from different regions of Brazil. Soil digital images were correlated to texture results determined by the standard pipette method using three multivariate methods: successive projections algorithm combined with multivariate linear regression (SPA-MLR), partial least-squares regression (PLSR), and least-squares support vector machine regression (LSSVMR). Sand and clay particle size were better estimated using LSSVMR presenting correlations above 90%. Following soil sample particle size content estimates, soil texture classes were also estimated achieving 90.6% accuracy. The proposed method using digital images is fast, cheap and has low environmental impact when compared to the standard method.
Thesagro: | Textura do Solo.
Thesaurus Nal: | Computer-assisted instruction; Digital images; Image analysis; Sand; Soil texture.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Arroz e Feijão (CNPAF)
Exemplares: | CNPAF - (35867-1) - UPC - AP - DD - 2020 -  - 2020 - DIS