Monitoring moisture content in parchment coffee beans during drying using Fourier Transform near infrared (FT-NIR) spectroscopy: A dataset for calibrating chemometric-based models for moisture predictionMendeley Data

Maintaining the quality of coffee across each stage of the coffee value chain is critical, with proper bean drying being essential for preserving product shelf life and moisture stability. This work compiles a dataset collected during the mechanical drying process of parchment coffee beans, monitori...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Sandrith Ordoñez-Lozano, Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-04-01
coleção:	Data in Brief
Assuntos:	Monitoring Quality control Process simulation Coffee post-harvest Chemometrics
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2352340925001684
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!