Comparison between Variable-Selection Algorithms in PLS Regression with Near-Infrared Spectroscopy to Predict Selected Metals in Soil

Comparison between Variable-Selection Algorithms in PLS Regression with Near-Infrared Spectroscopy to Predict Selected Metals in Soil

Soil is one of the Earth’s most important natural resources. The presence of metals can decrease environmental quality if present in excessive amounts. Analyzing soil metal contents can be costly and time consuming, but near-infrared (NIR) spectroscopy coupled with chemometric tools can offer an alt...

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Bibliographic Details
Main Authors: Giovanna Abrantes, Valber Almeida, Angelo Jamil Maia, Rennan Nascimento, Clistenes Nascimento, Ygor Silva, Yuri Silva, Germano Veras
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Molecules
Subjects:
metal content
vibrational spectroscopy
chemometrics
FFiPLS
multivariate calibration
Online Access:https://www.mdpi.com/1420-3049/28/19/6959

Internet

https://www.mdpi.com/1420-3049/28/19/6959

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