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

doi:10.1016/j.dib.2020.106013

Dataset of visible-near infrared handheld and micro-spectrometers - comparison of the prediction accuracy of sugarcane properties

Data Brief. 2020 Jul 12:31:106013. doi: 10.1016/j.dib.2020.106013. eCollection 2020 Aug.

Authors

Abdallah Zgouz¹, Daphné Héran², Bernard Barthès³, Denis Bastianelli^{1

4

5}, Laurent Bonnal^{4

5}, Vincent Baeten⁶, Sebastien Lurol⁷, Michael Bonin⁸, Jean-Michel Roger^{1

2

9}, Ryad Bendoula^{1

2}, Gilles Chaix^{1

10

11

9}

Affiliations

¹ HélioSPIR, 361 Rue Jean François Breton, 34196 Montpellier, France.
² UMR ITAP, Inrae, Institut Agro, University of Montpellier, Montpellier, France.
³ Eco&Sols, University of Montpellier, CIRAD, INRAE, IRD, Institut Agro, 34070 Montpellier, France.
⁴ CIRAD, UMR SELMET, F-34398 Montpellier, France.
⁵ SELMET, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
⁶ Quality and Authentication of Products Unit, Walloon Agricultural Research Centre (CRA-W), Gembloux, Belgium.
⁷ CTIFL, F-13210 Saint-Rémy-de-Provence, France.
⁸ Fondis Electronic, 26 avenue René Duguay-Trouin 78960 Voisins-Le-Bretonneux, France.
⁹ ChemHouse Research Group, Montpellier, France.
¹⁰ Cirad, UMR Agap, F-34398 Montpellier, France.
¹¹ Agap, Univ Montpellier, Cirad, Iinrae, Institut Agro, Montpellier, France.

Abstract

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.

Keywords: Handheld devices; Micro-spectrometers; Visible-near infrared spectroscopy; chemometrics, sugarcane.