AI-Based Ayurvedic Medicinal Plant Identification and Usage Information System

DOI

10.2991/978-94-6239-789-7_8How to use a DOI?

Keywords

Ayurvedic medicinal plants; Deep learning; MobileNetV2; Transfer learning; Leaf image classification; Phytochemical knowledge base; Knowledge-based systems; Flask web application

Abstract

Accurate identification of the medicinal plants is of critical importance for the formulation of Ayurvedic medicines. Conventional methods of identification involve a large degree of reliance on experienced botanists and direct experience of the physical characteristics of the plants, such as the shape of the leaves, the patterns of the veins, the colors, etc. This method requires a large amount of effort and is often prone to errors, especially for those who are not experienced in the field. To overcome the difficulties of the conventional method, this work presents an AI-based Ayurvedic Medicinal Plant Identification and Information System. This method uses a combination of deep learning based identification of the medicinal plants along with the information related to the medicinal uses of the plants. The proposed method uses a transfer learning-based approach using MobileNet V2 to identify the medicinal plants from the images of the leaves. The model is able to identify the different species of the medicinal plants with a high level of accuracy. The proposed method also uses a structured knowledge base related to the phytochemicals of the medicinal plants. Another component in the age determination aspect has also been included to measure the leaf maturity and the concentration of phytochemicals. This solution runs as a web app using the Flask library, which allows users to input images of the leaves and receive in real time the species identification and medicinal information. Based on the trial runs, the model using the MobileNetV2 achieves a classification accuracy of 96.8%. By integrating the plant identification using deep learning and the medicinal information, this solution creates a smart and user-friendly interface that promotes Ayurvedic education and advances herbal medicine research, as well as the digital conservation of medicinal wisdom.

Copyright

© 2026 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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TY  - CONF
AU  - Anix Saju
AU  - Naseef Rahman Asharaf
AU  - K. M. Ayisha Tooba
AU  - Saniya Ashraf
AU  - O. Anjali
AU  - Shine P. Xavier
PY  - 2026
DA  - 2026/10/08
TI  - AI-Based Ayurvedic Medicinal Plant Identification and Usage Information System
BT  - Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
PB  - Atlantis Press
SP  - 95
EP  - 111
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-789-7_8
DO  - 10.2991/978-94-6239-789-7_8
ID  - Saju2026
ER  -