Dataset of visible-near infrared handheld and micro-spectrometers – comparison of the prediction accuracy of sugarcane properties
Abdallah Zgouz,
Daphné Héran,
Bernard Barthès,
Denis Bastianelli,
Laurent Bonnal,
Vincent Baeten,
Sebastien Lurol,
Michael Bonin,
Jean-Michel Roger,
Ryad Bendoula,
Gilles Chaix
Affiliations
Abdallah Zgouz
HélioSPIR, 361 Rue Jean François Breton, 34196 Montpellier, France
Daphné Héran
UMR ITAP, Inrae, Institut Agro, University of Montpellier, Montpellier, France
Bernard Barthès
Eco&Sols, University of Montpellier, CIRAD, INRAE, IRD, Institut Agro, 34070 Montpellier, France
Denis Bastianelli
HélioSPIR, 361 Rue Jean François Breton, 34196 Montpellier, France; CIRAD, UMR SELMET, F-34398 Montpellier, France; SELMET, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
Laurent Bonnal
CIRAD, UMR SELMET, F-34398 Montpellier, France; SELMET, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
Vincent Baeten
Quality and Authentication of Products Unit, Walloon Agricultural Research Centre (CRA-W), Gembloux, Belgium
Sebastien Lurol
CTIFL, F-13210 Saint-Rémy-de-Provence, France
Michael Bonin
Fondis Electronic, 26 avenue René Duguay-Trouin 78960 Voisins-Le-Bretonneux, France
Jean-Michel Roger
HélioSPIR, 361 Rue Jean François Breton, 34196 Montpellier, France; UMR ITAP, Inrae, Institut Agro, University of Montpellier, Montpellier, France; ChemHouse Research Group, Montpellier, France
Ryad Bendoula
HélioSPIR, 361 Rue Jean François Breton, 34196 Montpellier, France; UMR ITAP, Inrae, Institut Agro, University of Montpellier, Montpellier, France
Gilles Chaix
HélioSPIR, 361 Rue Jean François Breton, 34196 Montpellier, France; Cirad, UMR Agap, F-34398 Montpellier, France; Agap, Univ Montpellier, Cirad, Iinrae, Institut Agro, Montpellier, France; ChemHouse Research Group, Montpellier, France; Corresponding author.
In the dataset presented in this article, sixty sugarcane samples were analyzed by eight visible / near infrared spectrometers including seven micro-spectrometers. There is one file per spectrometer with sample name, wavelength, absorbance data [calculated as log10 (1/Reflectance)], and another file for reference data, in order to assess the potential of the micro-spectrometers to predict chemical properties of sugarcane samples and to compare their performance with a LabSpec spectrometer. The Partial Least Square Regression (PLS-R) algorithm was used to build calibration models. This open access dataset could also be used to test new chemometric methods, for training, etc.
