Deep learning for Ethiopian indigenous medicinal plant species identification and classification
With an inspiring accuracy performance of 95%, it can be concluded that fine-tuning emerged as a highly effective strategy for boosting the performance of deep learning models.
Authors
- Mesfin Abebe Haile
- Durga Prasad Sharma (ORCID: https://orcid.org/0000-0002-1654-901X)
- Mulugeta Adibaru Kiflie (ORCID: https://orcid.org/0009-0008-9621-4527)
Institutions
- Rajasthan Technical University (IN)
- Adama Science and Technology University (ET)
Publication Details
- Journal
- Journal of Ayurveda and Integrative Medicine
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1016/j.jaim.2024.100987
- Citations
- 11
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 6.60
Funders
- Adama Science and Technology University