EfficientNet Ensemble Learning: Identifying Ethiopian Medicinal Plant Species and Traditional Uses by Integrating Modern Technology with Ethnobotanical Wisdom

MA Kiflie, DP Sharma, MA Haile, R Srinivasagan - Computers, 2024 - mdpi.com
Ethiopia is renowned for its rich biodiversity, supporting a diverse variety of medicinal plants
with significant potential for therapeutic applications. In regions where modern healthcare …

Deep ensemble learning for automatic medicinal leaf identification

S Sachar, A Kumar - International Journal of Information Technology, 2022 - Springer
The therapeutic nature of medicinal plants and their ability to heal many diseases raises the
need for their automatic identification. Different parts of plants that help in their identification …

Classification of Philippine Herbal Medicine Plant Using EfficientNet on Mobile Platform

JPC Mirandilla, CB Bating… - TENCON 2022-2022 …, 2022 - ieeexplore.ieee.org
So far, there is a lack of study on deep learning that is compatible with a mobile platform for
Philippine herbal plant identification. This paper applied EfficientNet-B0 to classify …

An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification

MA Hajam, T Arif, AMUD Khanday, M Neshat - Information, 2023 - mdpi.com
Accurate and efficient medicinal plant image classification is of utmost importance as these
plants produce a wide variety of bioactive compounds that offer therapeutic benefits. With a …

Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images

B Dey, J Ferdous, R Ahmed, J Hossain - Heliyon, 2024 - cell.com
Medicinal plants have got notable attention in recent years in the field of pharmaceutical and
drug research. The high demand of herbal medicine in the rural areas of developing …

Deep-learning-based classification of Bangladeshi medicinal plants using neural ensemble models

AH Uddin, YL Chen, B Borkatullah, MS Khatun… - Mathematics, 2023 - mdpi.com
This research addresses the lack of publicly available datasets for Bangladeshi medicinal
plants by presenting a comprehensive dataset comprising 5000 images of ten species …

[PDF][PDF] MedicPlant: A mobile application for the recognition of medicinal plants from the Republic of Mauritius using deep learning in real-time

S Pudaruth, MF Mahomoodally… - … International Journal of …, 2021 - researchgate.net
To facilitate the recognition and classification of medicinal plants that are commonly used by
Mauritians, a mobile application which can recognise seventy different medicinal plants has …

Ethno medicine of Indigenous Communities: Tamil Traditional Medicinal Plants Leaf detection using Deep Learning Models

GB Govindaprabhu, M Sumathi - Procedia Computer Science, 2024 - Elsevier
In indigenous communities, ethno medicine has played a prominent role in healing for
centuries and provides valuable insight into the use of traditional medicinal plants. Using …

MTJNet: Multi-task joint learning network for advancing medicinal plant and leaf classification

S Sharma, M Vardhan - Knowledge-Based Systems, 2024 - Elsevier
Identifying and classifying medicinal plants is crucial for pharmaceutical research, traditional
medicine, and biodiversity conservation. However, manual classification is time-consuming …

Automated real-time identification of medicinal plants species in natural environment using deep learning models—a case study from Borneo Region

OA Malik, N Ismail, BR Hussein, U Yahya - Plants, 2022 - mdpi.com
The identification of plant species is fundamental for the effective study and management of
biodiversity. In a manual identification process, different characteristics of plants are …