Avaliando a fertilidade do solo com imagens digitais
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Data
2020-06
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Resumo
A set of 177 soil samples from three Brazilian regions were digitally scanned and
its images were correlated to soil’s fertility parameters using multivariate calibration
methods. The LSSVMR presented the best sand, clay, and organic carbon content
estimates. The textural classification using digital images matched 90.6%. The proposed
method can determine sand, clay, and silt contents simultaneously in a few minutes. The
method does not require the use of chemicals and it is in accordance with green chemistry
lab analysis.
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Textura, Carbono orgânico, Química verde, Texture, Organic carbon, Green chemistry
Citação
MORAIS, Pedro A. de O.; SOUZA, Diego M. de; MADARI, Beata E.; OLIVEIRA, Anselmo E. de. Avaliando a fertilidade do solo com imagens digitais. Revista Processos Químicos, Anápolis, v. 14, n. 27, p. 9-16, jan./jun. 2020. DOI: 10.19142/rpq.v14i27.573. Disponível em: https://ojs.rpqsenai.org.br/index.php/rpq_n1/article/view/573. Acesso em: 14 jun. 2023.