Detection of defective cocoa beans using machine learning techniques and NIR spectral data fusion.
- DOI
- 10.1016/j.saa.2026.127792
- Published
- 2026 Sep 5
- Container
- Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.saa.2026.127792,
title = {Detection of defective cocoa beans using machine learning techniques and NIR spectral data fusion.},
author = {Amuah CLY and Lamptey FP and Boadu VG and Opoku-Ansah J and Anyidoho EK and Yakubu HG and Vordoagu ODP and Sackey SS and Teye E},
year = {2026},
journal = {Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy},
doi = {10.1016/j.saa.2026.127792},
url = {https://doi.org/10.1016/j.saa.2026.127792}
}RIS
TY - JOUR TI - Detection of defective cocoa beans using machine learning techniques and NIR spectral data fusion. AU - Amuah CLY AU - Lamptey FP AU - Boadu VG AU - Opoku-Ansah J AU - Anyidoho EK AU - Yakubu HG AU - Vordoagu ODP AU - Sackey SS AU - Teye E PY - 2026 JO - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy DO - 10.1016/j.saa.2026.127792 UR - https://doi.org/10.1016/j.saa.2026.127792 ER -
APA
CLY, A., FP, L., VG, B., J, O., EK, A., HG, Y., ODP, V., SS, S., & E, T. (2026). Detection of defective cocoa beans using machine learning techniques and NIR spectral data fusion.. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. https://doi.org/10.1016/j.saa.2026.127792
Source records
- pubmed · retrieved 2026-09-26T20:59:39.941Z