Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine contentMendeley Data

Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine contentMendeley Data

This paper presents a comprehensive dataset of mid-infrared spectra for dried and roasted cocoa beans (Theobroma cacao L.), along with their corresponding theobromine and caffeine content. Infrared data were acquired using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectrosco...

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Bibliographic Details
Main Authors: Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Data in Brief
Subjects:
Functional groups
Cocoa quality monitoring
Multivariate statistical tools
Artificial intelligence
Real-time decision-making
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340924012058
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