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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Detalhes bibliográficos

Principais autores:	Rebecca-Jo Vestergaard, Hiteshkumar Bhogilal Vasava, Doug Aspinall, Songchao Chen, Adam Gillespie, Viacheslav Adamchuk, Asim Biswas
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-10-01
coleção:	Sensors
Assuntos:	proximal soil sensing precision agriculture digital soil maps soil characterization soil core profiles
Acesso em linha:	https://www.mdpi.com/1424-8220/21/20/6745
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