Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
Type de document
journalArticle
Langue source
Anglais
Titre français
Titre anglais
Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
Auteur(s)
- GOGÉ Fabien
- THURIÈS Laurent
- FOUAD Youssef
- DAMAY Nathalie
- DAVRIEUX Fabrice
- MOUSSARD Géraud
- ROUX Caroline Le
- TRUPIN-MAUDEMAIN Séverine
- VALÉ Matthieu
- MORVAN Thierry
Editeur(s)
Autre(s)
Id
UK8LB69N
Version
2293
Date ajout
5 janvier 2021 17:06
Date modification
5 janvier 2021 17:06
Résumé anglais
Combined with multivariate calibration methods, near-infrared (NIR) spectroscopy is a non-destructive, rapid, precise and inexpensive analytical method to predict chemical contents of organic products. Nevertheless, one practical limitation of this approach is that performance of the calibration model may decrease when the data are acquired with different spectrometers. To overcome this limitation, standardization methods exist, such as the piecewise direct standardization (PDS) algorithm. The dataset presented in this article consists of 332 manure samples from poultry and cattle, sampled from farms located in major regions of livestock production in mainland France and Reunion Island. The samples were analysed for seven chemical properties following conventional laboratory methods. NIR spectra were acquired with three spectrometers from fresh homogenized and dried ground samples and then standardized using the PDS algorithm. This important dataset can be used to train and test chemometric models and is of particular interest to NIR spectroscopists and agronomists who assess the agronomic value of animal waste.
Note
None
CRAW tags
- AB - Transversal
- FREDO effluents et litière
- FREDO fertilisation
- FREDO technologie et innovation
WEB tags
- cattle manure
- NIR spectroscopy
- piecewise direct standardization
- poultry manure
Titre de la publication
Data in Brief
Volume
34
Pages
106647
Date caractères
February 1, 2021
Date publication
1 février 2021
Doi
10.1016/j.dib.2020.106647
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Issn
2352-3409
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