The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress
A chemometric challenge was posed at the annual 'Chimiométrie' congress organized by the French Chemometrics Society in February 2019. The congress was held in Montpellier and the data relating to the challenge are available on the congress website (https://chemom2019.sciencesconf.org/). The aim of the challenge was to test the ability of congress participants for the characterization of animal feed by NIR when the reference values do not follow a normal distribution for three different ingredients. This paper summarizes the five best approaches put forward by participants.
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| Subjects: | U10 - Informatique, mathématiques et statistiques, L02 - Alimentation animale, analyse multivariée, spectroscopie, nutrition animale, http://aims.fao.org/aos/agrovoc/c_28921, http://aims.fao.org/aos/agrovoc/c_14498, http://aims.fao.org/aos/agrovoc/c_27925, |
| Online Access: | http://agritrop.cirad.fr/595950/ http://agritrop.cirad.fr/595950/1/fernandez_pierna%20et%20al%20chemolab%202020%20challenge%202019.pdf |
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dig-cirad-fr-5959502024-01-29T02:51:22Z http://agritrop.cirad.fr/595950/ http://agritrop.cirad.fr/595950/ The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress. Fernandez Pierna Juan Antonio, Laborde Antoine, Lakhal Laïla, Lesnoff Matthieu, Martin M., Roggo Y., Dardenne Pierre. 2020. Chemometrics and Intelligent Laboratory Systems, 202:104026, 6 p. Conférence Chimiométrie, Montpellier, France, 30 Janvier 2019/1 Février 2019.https://doi.org/10.1016/j.chemolab.2020.104026 <https://doi.org/10.1016/j.chemolab.2020.104026> The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress Fernandez Pierna, Juan Antonio Laborde, Antoine Lakhal, Laïla Lesnoff, Matthieu Martin, M. Roggo, Y. Dardenne, Pierre eng 2020 Chemometrics and Intelligent Laboratory Systems U10 - Informatique, mathématiques et statistiques L02 - Alimentation animale analyse multivariée spectroscopie nutrition animale http://aims.fao.org/aos/agrovoc/c_28921 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_27925 A chemometric challenge was posed at the annual 'Chimiométrie' congress organized by the French Chemometrics Society in February 2019. The congress was held in Montpellier and the data relating to the challenge are available on the congress website (https://chemom2019.sciencesconf.org/). The aim of the challenge was to test the ability of congress participants for the characterization of animal feed by NIR when the reference values do not follow a normal distribution for three different ingredients. This paper summarizes the five best approaches put forward by participants. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/595950/1/fernandez_pierna%20et%20al%20chemolab%202020%20challenge%202019.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.chemolab.2020.104026 10.1016/j.chemolab.2020.104026 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.chemolab.2020.104026 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.chemolab.2020.104026 |
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U10 - Informatique, mathématiques et statistiques L02 - Alimentation animale analyse multivariée spectroscopie nutrition animale http://aims.fao.org/aos/agrovoc/c_28921 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_27925 U10 - Informatique, mathématiques et statistiques L02 - Alimentation animale analyse multivariée spectroscopie nutrition animale http://aims.fao.org/aos/agrovoc/c_28921 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_27925 |
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U10 - Informatique, mathématiques et statistiques L02 - Alimentation animale analyse multivariée spectroscopie nutrition animale http://aims.fao.org/aos/agrovoc/c_28921 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_27925 U10 - Informatique, mathématiques et statistiques L02 - Alimentation animale analyse multivariée spectroscopie nutrition animale http://aims.fao.org/aos/agrovoc/c_28921 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_27925 Fernandez Pierna, Juan Antonio Laborde, Antoine Lakhal, Laïla Lesnoff, Matthieu Martin, M. Roggo, Y. Dardenne, Pierre The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress |
| description |
A chemometric challenge was posed at the annual 'Chimiométrie' congress organized by the French Chemometrics Society in February 2019. The congress was held in Montpellier and the data relating to the challenge are available on the congress website (https://chemom2019.sciencesconf.org/). The aim of the challenge was to test the ability of congress participants for the characterization of animal feed by NIR when the reference values do not follow a normal distribution for three different ingredients. This paper summarizes the five best approaches put forward by participants. |
| format |
article |
| topic_facet |
U10 - Informatique, mathématiques et statistiques L02 - Alimentation animale analyse multivariée spectroscopie nutrition animale http://aims.fao.org/aos/agrovoc/c_28921 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_27925 |
| author |
Fernandez Pierna, Juan Antonio Laborde, Antoine Lakhal, Laïla Lesnoff, Matthieu Martin, M. Roggo, Y. Dardenne, Pierre |
| author_facet |
Fernandez Pierna, Juan Antonio Laborde, Antoine Lakhal, Laïla Lesnoff, Matthieu Martin, M. Roggo, Y. Dardenne, Pierre |
| author_sort |
Fernandez Pierna, Juan Antonio |
| title |
The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress |
| title_short |
The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress |
| title_full |
The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress |
| title_fullStr |
The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress |
| title_full_unstemmed |
The applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: A new chemometric challenge posed at the 'Chimiométrie 2019' congress |
| title_sort |
applicability of vibrational spectroscopy and multivariate analysis for the characterization of animal feed where the reference values do not follow a normal distribution: a new chemometric challenge posed at the 'chimiométrie 2019' congress |
| url |
http://agritrop.cirad.fr/595950/ http://agritrop.cirad.fr/595950/1/fernandez_pierna%20et%20al%20chemolab%202020%20challenge%202019.pdf |
| work_keys_str_mv |
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| _version_ |
1792499972645584896 |