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Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoringMendeley Data

A comprehensive dataset on FT-NIR spectra for green and roasted specialty coffee is critically needed to advance predictive models for sensory quality assessment. To address this need, the NIR spectra of green and roasted specialty coffee were obtained using cutting-edge FT-NIR spectroscopy, while s...

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Principais autores: Andrés F. Bahamón-Monje, Ever M. Morales-Angulo, Gentil A. Collazos-Escobar, Nelson Gutiérrez-Guzmán
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-06-01
coleção:Data in Brief
Assuntos:
Spectral analysis
Supervised machine learning
Quality assessment
Chemometric models
Sensory attributes
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2352340925003415
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