Identification of Medicinal Plants And Their Uses By CNN

DOI

10.2991/978-94-6463-858-5_57How to use a DOI?

Keywords

Image of medicinal plant; Deep Learning; ResNet50; Medicine

Abstract

The traditional methods used by herbal medicine stakeholders to discover therapeutic plants have significant limitations. Herb collectors often depend on subjective and inconsistent knowledge passed down through generations, and researchers have a hard time cataloging and studying medicinal plant species because of the time and effort required for manual identification. To address these issues, the Medicinal Plant Identification project has trained a ResNet50 model and developed a Flask web interface that allows users to input photos of medicinal plants and receive accurate recommendations.

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.

Download article (PDF)

TY  - CONF
AU  - D. Ashwani
AU  - Kommana Jaya Sree
AU  - Kancherla Uday
AU  - Manepalli Rohith Raj
AU  - Lanka Abhinav Kumar
AU  - Datla Thirupathi Ravi Varma
PY  - 2025
DA  - 2025/11/04
TI  - Identification of Medicinal Plants And Their Uses By CNN
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 657
EP  - 665
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_57
DO  - 10.2991/978-94-6463-858-5_57
ID  - Ashwani2025
ER  -