Evaluation of Optimized Preprocessing and Modeling Algorithms for Prediction of Soil Properties Using VIS-NIR Spectroscopy

The absorbance spectra for air-dried and ground soil samples from Ontario, Canada were collected in the visible and near-infrared (VIS-NIR) region from 343 to 2200 nm. The study examined thirteen combination of six preprocessing (1st derivative, 2nd derivative, Savitzky-Golay, Gap, SNV and Detrend)...

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Detalles Bibliográficos
Autores principales: Vestergaard, Rebecca-Jo, Vasava, Hiteshkumar Bhogilal, Aspinall, Doug, Chen, Songchao, Gillespie, Adam, Adamchuk, Viacheslav, Biswas, Asim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539197/
https://www.ncbi.nlm.nih.gov/pubmed/34695958
http://dx.doi.org/10.3390/s21206745

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539197/
https://www.ncbi.nlm.nih.gov/pubmed/34695958
http://dx.doi.org/10.3390/s21206745

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