Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

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A Mobile App for the Identification of Medicinal Plants, Aiding Authenticity and Supply Chain Integrity

Authors
A. Kalaivani1, R. Nidhruv Raj2, *, T. Prakash3
1Professor, Rajalakshmi Engineering College, Rajalakshmi Nagar, Thandalam, Chennai, Tamil Nadu, India
2Student, Rajalakshmi Engineering College, Rajalakshmi Nagar, Thandalam, Chennai, Tamil Nadu, India
3Student, Rajalakshmi Engineering College, Rajalakshmi Nagar, Thandalam, Chennai, Tamil Nadu, India
*Corresponding author. Email: 211001068@rajalakshmi.edu.in
Corresponding Author
R. Nidhruv Raj
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_17How to use a DOI?
Keywords
Medicinal Plant Identification; Mobile App; Image Recognition; Plant Remedies; Supply Chain Integrity; User Contribution; Plant Authenticity
Abstract

Medicinal plants are an essential part of traditional medicine, but their effective utilization is restricted by limitations in proper identification and authenticity. This paper introduces a mobile app that utilizes high-end image recognition APIs to recognize medicinal plants from photos uploaded by users, with scientific names, medicinal properties, and usage information. The app also recommends home remedies, finds nearby verified vendors through geolocation, and facilitates community-based data contribution to build the plant database.

The originality of this work resides in its comprehensive synthesis of plant identification, remedy proposal, supply chain visibility, and user-initiated enrichment of data through a single mobile application, which makes it accessible to laymen. As opposed to current systems, it focuses on real-time accessibility, vendor genuineness, and collaborative work among communities, thereby connecting contemporary technology with folk medicine.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_17How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Kalaivani
AU  - R. Nidhruv Raj
AU  - T. Prakash
PY  - 2025
DA  - 2025/10/31
TI  - A Mobile App for the Identification of Medicinal Plants, Aiding Authenticity and Supply Chain Integrity
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 174
EP  - 189
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_17
DO  - 10.2991/978-94-6463-866-0_17
ID  - Kalaivani2025
ER  -