A machine learning approach for classifying date fruit varieties at the Rutab stage
Among the tested models, YOLOv12 achieved the highest recall of 93%. The proposed system is deployed within a mobile application, aiming to promote cultural preservation and increase global awareness of the diversity found within date varieties.
Authors
- Meshal Alfarhood (ORCID: https://orcid.org/0000-0003-2207-3262)
- Musa Alzahrani (ORCID: https://orcid.org/0000-0002-0895-5114)
- Mohammad Alanazi (ORCID: https://orcid.org/0000-0001-6766-3237)
- Mohammed Almajed
- Abdalrahman Alalwan
- Nawaf Alsahw
- Ahmad Alawfi
Institutions
- King Saud University (SA)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-11-26
- DOI
- https://doi.org/10.3389/fpls.2025.1678757
- Primary Topic
- Date Palm Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Saud University