Classification of cow diet based on milk Mid Infrared Spectra : A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022”

Tools

Frizzarin, Maria and Visentin, Giulio and Ferragina, Alessandro and Hayes, Elena and Bevilacqua, Antonio and Dhariyal, Bhaskar and Domijan, Katarina and Khan, Hussain and Ifrim, Georgiana and Nguyen, Thach Le and Meagher, Joe and Menchetti, Laura and Singh, Ashish and Whoriskey, Suzy and Williamson, Robert and Zappaterra, Martina and Casa, Alessandro (2023) Classification of cow diet based on milk Mid Infrared Spectra : A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022”. Chemometrics and Intelligent Laboratory Systems, 234. 104755. ISSN 0169-7439 (https://doi.org/10.1016/j.chemolab.2023.104755)

[thumbnail of Frizzarin-etal-Classification-of-cow-diet-based-on-milk-Mid-Infrared-Spectra]
Preview
 Text. Filename: Frizzarin-etal-Classification-of-cow-diet-based-on-milk-Mid-Infrared-Spectra.pdf
Preprint
License: Strathprints license 1.0
Download (1MB)| Preview

Abstract

In April 2022, the Vistamilk SFI Research Centre organized the second edition of the “International Workshop on Spectroscopy and Chemometrics – Applications in Food and Agriculture”. Within this event, a data challenge was organized among participants of the workshop. Such data competition aimed at developing a prediction model to discriminate dairy cows’ diet based on milk spectral information collected in the mid-infrared region. In fact, the development of an accurate and reliable discriminant model for dairy cows’ diet can provide important authentication tools for dairy processors to guarantee product origin for dairy food manufacturers from grass-fed animals. Different statistical and machine learning modelling approaches have been employed during the workshop, with different pre-processing steps involved and different degree of complexity. The present paper aims to describe the statistical methods adopted by participants to develop such classification model.

ORCID iDs

Frizzarin, Maria, Visentin, Giulio, Ferragina, Alessandro, Hayes, Elena, Bevilacqua, Antonio, Dhariyal, Bhaskar, Domijan, Katarina, Khan, Hussain, Ifrim, Georgiana, Nguyen, Thach Le, Meagher, Joe, Menchetti, Laura, Singh, Ashish, Whoriskey, Suzy ORCID logoORCID: https://orcid.org/0009-0001-6715-2418, Williamson, Robert, Zappaterra, Martina and Casa, Alessandro;
CORE (COnnecting REpositories)