%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Zgouz, A.
%A Heran, D.
%A Barthès, Bernard
%A Bastianelli, D.
%A Bonnal, L.
%A Baeten, V.
%A Lurol, S.
%A Bonin, M.
%A Roger, J. M.
%A Bendoula, R.
%A Chaix, G.
%T Dataset of visible-near infrared handheld and micro-spectrometers-comparison of the prediction accuracy of sugarcane properties [Data paper]
%D 2020
%L fdi:010079738
%G ENG
%J Data in Brief
%@ 2352-3409
%K Micro-spectrometers ; Handheld devices ; Visible-near infrared ; spectroscopy ; chemometrics ; sugarcane
%M ISI:000569214200040
%P 106013 [6 ]
%R 10.1016/j.dib.2020.106013
%U https://www.documentation.ird.fr/hor/fdi:010079738
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers20-10/010079738.pdf
%V 31
%W Horizon (IRD)
%X 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 log(10) (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 ac cess dataset could also be used to test new chemometric methods, for training, etc.
%$ 076 ; 020