Deep learning for Ethiopian indigenous medicinal plant species identification and classification

Leveraging knowledge distillation for lightweight and interpretable deep learning in Ethiopian medicinal plant classification

Ethiopian Indigenous Medicinal Plant Dataset

This dataset provides a comprehensive overview of Ethiopian Indigenous Medicinal Plant. The dataset

Identification of Selected Ethiopian Traditional Medicinal Plants Using Digital Image Processing and Deep Learning Techniques

Abstract Ethiopia is rich in biodiversity, and its vast landscape offers a variety

"Curated Dataset of Ethiopian Medicinal Plant Leaf Images for Ethnobotanical Multi-Label Classification"

"This dataset contains 9,600 high-resolution leaf images from 32 distinct Ethiopian medicinal plant

PLANT DISEASE CLASSIFICATION USING DEEP LEARNING MODELS

PLANT DISEASE CLASSIFICATION USING DEEP LEARNING MODELS

Poster presented at the Deep Learning Indaba 2022 by Yannick Serge Obam Akou

MPBD-18: A Large-Scale Real-World Medicinal Plant Image Dataset from Bangladesh for Automated Plant Species Identification

MPBD-18 is a large-scale real-world medicinal plant image dataset collected from diverse environment