Classification of Lupinus seeds into sweet and bitter categories using VIS–NIR spectroscopy and machine learning
The results indicate that combining VIS-NIR spectroscopy with machine learning provides a suitable non-destructive alternative to discriminate sweet and bitter <i>Lupinus</i> materials/ecotypes.
Authors
- Francisco Chávez (ORCID: https://orcid.org/0000-0002-9565-743X)
- Fernando Llera Cid
- Pedro A. Salguero-López
- Francisco A. Galea-Gragera
- Josefa Díaz-Álvarez
Institutions
- Universidad de Los Andes (VE)
- Government of Extremadura (ES)
- Universidad de Extremadura (ES)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/frai.2026.1745720
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerio de Ciencia e Innovación
- Junta de Extremadura
- European Regional Development Fund
- Agencia Estatal de Investigación