Dataset for FTIR-Based AI Models for Carbohydrate Quantification in Dairy Samples

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Authors

Torres Armendariz Neyba Lorena · Autonomous University of Chihuahua

Ivan Salmeron · South Dakota School of Mines and Technology

Victor Hugo Ramos Sanchez · Northern Arizona University

Samuel Perez Vega · Finland University

José Manuel Nápoles Duarte · Autonomous University of Chihuahua

Raul Orozco Mena · Autonomous University of Chihuahua

Abstract

This dataset contains raw data used for carbohydrate quantification in dairy samples using FTIR spectroscopy combined with machine learning models. The repository includes:- Raw FTIR spectra- Commercial sample data- Python script The dataset supports reproducibility of the results presented in the associated manuscript.

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Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19270422

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Dataset for FTIR-Based AI Models for Carbohydrate Quantification in Dairy Samples

Authors

Abstract

Topics & Keywords

Publication Details