Deep learning for Ethiopian indigenous medicinal plant species identification and classification.

ABSTRACT:

Background

Medicinal plants are crucial for traditional healers in preparing remedies and also hold significant importance for the modern pharmaceutical industry, facilitating drug discovery processes. Accurate and effective identification and classification of Ethiopian indigenous medicinal plants are vital for their conservation and preservation. However, the existing identification and classification process is time-consuming, and tedious, and demands the expertise of specialists. Botanists traditionally rely on traditional and experience-based methods for identifying various medicinal plant species.

Objective

This research aims to develop an efficient deep learning model through transfer learning for the identification and classification of Ethiopian indigenous medicinal

SUBMITTER: Kiflie MA 

PROVIDER: S-EPMC11613182 | biostudies-literature | 2024 Nov-Dec

REPOSITORIES: biostudies-literature