Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection

Abstract Arsenic contamination not only complicates mineral processing but also poses environmental and health risks. To address these challenges, this research investigates the feasibility of utilizing Hyperspectral imaging combined with machine learning techniques for the identification of arsenic...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Natsuo Okada, Hiromasa Nozaki, Shinichiro Nakamura, Elsa Pansilvania Andre Manjate, Angesom Gebretsadik, Yoko Ohtomo, Takahiko Arima, Youhei Kawamura
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-05-01
Subjects:	Sensor-based ore sorting Mineral processing Neighborhood component analysis Machine learning System Wavelength selection
Online Access:	https://doi.org/10.1038/s41598-024-62166-0