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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Sandrith Ordoñez-Lozano, Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2025-04-01
Sarja:	Data in Brief
Aiheet:	Monitoring Quality control Process simulation Coffee post-harvest Chemometrics
Linkit:	http://www.sciencedirect.com/science/article/pii/S2352340925001684
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