A novel PCA-based calibration algorithm for classification of challenging laser-induced breakdown spectroscopy soil sample data

Accurate classification of soil types and contamination is crucial for crops' productivity. Among the soil analysis techniques, laser-induced breakdown spectroscopy (LIBS) has become a prominent technology for real-time characterization of soil properties. LIBS coupled with supervised machine l...

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Veröffentlicht in:	Spectrochimica acta. Part B: Atomic spectroscopy 2022-07, Vol.193, p.106451, Article 106451
Hauptverfasser:	Huang, Yingchao, Bais, Abdul
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Analysis Analytical methods Artificial neural networks Calibration Classification Classifiers CNN Contamination Data calibration Discriminant analysis Distribution Feature extraction Laser induced breakdown spectroscopy Lasers Learning algorithms LIBS Lithology Machine learning Neural networks PCA median Principal components analysis Soil analysis Soil classification Soil contamination Soil pollution Soil properties Soil types Spectra Spectroscopy Spectrum analysis Support vector machines Training
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