Ensuring Authenticity and Integrity in Medicinal Plant Supply Chains Through ML - Based Image Processing
Author(s):
Jebitha J, Angelin Jeba J, Neha D A, Aslin Y L, Janila J
Keywords:
Medicinal plants, supply chain integrity, authenticity, machine learning, image processing
Abstract
The authenticity and integrity of medicinal plant supply chains are essential for ensuring product quality, safety, and efficacy. However, the complexity and global nature of these supply chains pose significant challenges in maintaining transparency and accountability. In this paper, we propose a novel approach leveraging machine learning (ML)-based image processing techniques to address these challenges. Our methodology involves training ML models to recognize medicinal plant species, assess quality, detect adulteration or contamination, establish traceability, authenticate products, monitor growth conditions, and integrate data for decision support. By analyzing images of medicinal plants at various stages of the supply chain, our approach enables stakeholders to verify authenticity, identify potential issues, and make informed decisions. We demonstrate the feasibility and effectiveness of our approach through case studies and highlight its potential to enhance transparency, accountability, and trust in medicinal plant supply chains. This research contributes to the broader goal of improving global healthcare by ensuring the integrity of natural remedies derived from medicinal plants.
Article Details
Unique Paper ID: 163057

Publication Volume & Issue: Volume 0, Issue no

Page(s): 205 - 212
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers