Advanced machine learning techniques for hyacinth bean identification using infrared spectroscopy and computer vision
The classification and quality assessment of underutilized hyacinth bean (HB) ( Lablab purpureus L.) landrace accessions were systematically performed via state-of-the-art machine learning (ML) approaches.
Authors
- Poonam Singha (ORCID: https://orcid.org/0000-0002-5652-7114)
- Sushil Kumar Singh (ORCID: https://orcid.org/0000-0001-9826-2508)
- Pratik Madhukar Gorde (ORCID: https://orcid.org/0000-0002-2078-6683)
Institutions
- National Institute of Technology Rourkela (IN)
Publication Details
- Journal
- Sustainable Food Technology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5fb00011d
- Citations
- 2
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- Department of Science and Technology, Ministry of Science and Technology, India