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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Bibliografske podrobnosti

Principais autores:	Andrés F. Bahamón-Monje, Ever M. Morales-Angulo, Gentil A. Collazos-Escobar, Nelson Gutiérrez-Guzmán
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-06-01
Serija:	Data in Brief
Teme:	Spectral analysis Supervised machine learning Quality assessment Chemometric models Sensory attributes
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2352340925003415
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