Mid infrared spectroscopy and milk quality traits: A data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"

被引:6
作者
Frizzarin, Maria [1 ,2 ]
Bevilacqua, Antonio [3 ]
Dhariyal, Bhaskar [3 ]
Domijan, Katarina [4 ]
Ferraccioli, Federico [5 ]
Hayes, Elena [6 ]
Ifrim, Georgiana [3 ]
Konkolewska, Agnieszka [7 ]
Le Nguyen, Thach [3 ]
Mbaka, Uche [2 ]
Ranzato, Giovanna [8 ]
Singh, Ashish [3 ]
Stefanucci, Marco [9 ]
Casa, Alessandro [2 ]
机构
[1] TEAGASC, Anim & Grassland Res & Innovat Ctr, Moorepark, Ireland
[2] Univ Coll Dublin, Sch Math & Stat, Dublin 4, Ireland
[3] Univ Coll Dublin, Sch Comp Sci, Dublin, Ireland
[4] Natl Univ Ireland, Dept Math & Stat, Maynooth, Kildare, Ireland
[5] Univ Padua, Dept Stat Sci, Padua, Italy
[6] TEAGASC, Food Res Ctr, Moorepark, Ireland
[7] TEAGASC, Crops Res Ctr, Oak Pk, Ireland
[8] Univ Padua, Dept Anim Med Prod & Hlth, Padua, Italy
[9] Univ Trieste, Dept Econ Business Math & Stat, Trieste, Italy
基金
爱尔兰科学基金会; 欧盟地平线“2020”;
关键词
Chemometrics; Fourier transform mid-infrared spectroscopy; Machine learning; Milk quality; PARTIAL LEAST-SQUARES; MIDINFRARED SPECTROSCOPY; ADDITIVE REGRESSION; PRINCIPAL COMPONENT; SPECTRA; PREDICTION; MODELS; PLS;
D O I
10.1016/j.chemolab.2021.104442
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A chemometric data analysis challenge has been arranged during the first edition of the "International Workshop on Spectroscopy and Chemometrics", organized by the Vistamilk SFI Research Centre and held online in April 2021. The aim of the competition was to build a calibration model in order to predict milk quality traits exploiting the information contained in mid-infrared spectra only. Three different traits have been provided, presenting heterogeneous degrees of prediction complexity thus possibly requiring trait-specific modelling choices. In this paper the different approaches adopted by the participants are outlined and the insights obtained from the analyses are critically discussed.
引用
收藏
页数:9
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