AyurMedVerify: Medicinal Plant Authentication System

Medicinal plants have been highly significant to the medical field in curing diseases, healing wounds, and treating the ill since ancient times. The production and supply of these medicinal plants, however, pose authentication issues due to dependent and trust-based deals. To address this matter, we...

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Bibliographic Details
Main Authors: Bhandari, Rutuja, Zinzuwadia, Devesh, Karemore, Vaishnavi, Tiwaskar, Shweta
Format: Conference Proceeding
Language:English
Subjects:
Authentication
CNN
Computer science
Curing
Industries
Machine Learning
Medicinal Leaves
Production
Supply chains
Wounds
Online Access:Request full text
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Summary:Medicinal plants have been highly significant to the medical field in curing diseases, healing wounds, and treating the ill since ancient times. The production and supply of these medicinal plants, however, pose authentication issues due to dependent and trust-based deals. To address this matter, we propose the design and development of a framework for the identification and classification of medicinal leaves using Convolutional Neural Networks (CNNs) for accurate detection of medicinal leaves. This system lists the information of companies dealing in the particular medicinal leaf. The CNN model, leveraging the Indian Medicinal Leaves Dataset demonstrates progressive accuracy through experimentation. The solution aims to improve transparency and accountability in the supply chain of the medicinal leaf industry. This innovative approach improves the credibility and integrity of Ayurvedic medicines while empowering medicinal industry stakeholders.
ISSN:2688-0288
DOI:10.1109/SCEECS61402.2024.10482304