Assessing the Information Potential of MIR Spectral Signatures for Prediction of Multiple Soil Properties Based on Data from the AfSIS Phase I Project.

Gruszczynski, Stanislaw; Gruszczynski, Wojciech

Gruszczynski, Stanislaw; Gruszczynski, Wojciech.

Afiliação

Gruszczynski S; AGH University of Science and Technology, Faculty of Geo-Data Science, Geodesy and Environmental Engineering, Al. Mickiewicza 30, 30-059 Krakow, Poland.
Gruszczynski W; AGH University of Science and Technology, Faculty of Geo-Data Science, Geodesy and Environmental Engineering, Al. Mickiewicza 30, 30-059 Krakow, Poland.

Int J Environ Res Public Health ; 19(22)2022 11 17.

Article em En | MEDLINE | ID: mdl-36429929

Assuntos

Fósforo; Solo; Solo/química; Análise dos Mínimos Quadrados; Serviços de Informação; Algoritmos

Palavras-chave

1D convolutional neural network; generalized regression neural network; mid-infrared spectrum; partial least squares regression; soil properties prediction

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fósforo / Solo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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