@article{fdi:010079738,
  title = {{D}ataset of visible-near infrared handheld and micro-spectrometers-comparison of the prediction accuracy of sugarcane properties [{D}ata paper]},
  author = {{Z}gouz, {A}. and {H}eran, {D}. and {B}arth{\`e}s, {B}ernard and {B}astianelli, {D}. and {B}onnal, {L}. and {B}aeten, {V}. and {L}urol, {S}. and {B}onin, {M}. and {R}oger, {J}. {M}. and {B}endoula, {R}. and {C}haix, {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the dataset presented in this article, sixty sugarcane samples were analyzed by eight visible / near infrared spectrometers including seven micro-spectrometers. {T}here is one file per spectrometer with sample name, wavelength, absorbance data [calculated as log(10) (1/{R}eflectance)], 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 {L}ab{S}pec spectrometer. {T}he {P}artial {L}east {S}quare {R}egression ({PLS}-{R}) algorithm was used to build calibration models. {T}his open ac cess dataset could also be used to test new chemometric methods, for training, etc.},
  keywords = {{M}icro-spectrometers ; {H}andheld devices ; {V}isible-near infrared ; spectroscopy ; chemometrics ; sugarcane},
  booktitle = {},
  journal = {{D}ata in {B}rief},
  volume = {31},
  numero = {},
  pages = {106013 [6 ]},
  ISSN = {2352-3409},
  year = {2020},
  DOI = {10.1016/j.dib.2020.106013},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079738},
}