Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning.

Nturambirwe JFI, Hussein EA, Vaccari M, Thron C, Perold WJ, Opara UL

Open source

DOI
10.3390/foods12010210
Published
2023 Jan 3
Container
Foods (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/foods12010210,
  title = {Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning.},
  author = {Nturambirwe JFI and Hussein EA and Vaccari M and Thron C and Perold WJ and Opara UL},
  year = {2023},
  journal = {Foods (Basel, Switzerland)},
  doi = {10.3390/foods12010210},
  url = {https://doi.org/10.3390/foods12010210}
}

RIS

TY  - JOUR
TI  - Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning.
AU  - Nturambirwe JFI
AU  - Hussein EA
AU  - Vaccari M
AU  - Thron C
AU  - Perold WJ
AU  - Opara UL
PY  - 2023
JO  - Foods (Basel, Switzerland)
DO  - 10.3390/foods12010210
UR  - https://doi.org/10.3390/foods12010210
ER  -

APA

JFI, N., EA, H., M, V., C, T., WJ, P., & UL, O. (2023). Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning.. Foods (Basel, Switzerland). https://doi.org/10.3390/foods12010210

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