Leveraging Deep Learning for Real-Time Medicinal Plant Identification

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Authors: M. Martinaa, G. Revathy
Cited by: 0
References: 19

Abstract

The culture of medicinal plant cultivation has been in existence for many decades among the people of India. Most of the health benefit associated with medicinal plants comes from the Indian Forest. Medicinal plants have, therefore, been the subject of interest to scientists and researchers because of their importance in the survival of man. The identification of medicine plants requires a lot of time and the procedure must be done by experts in the field. Vision-based system can be easily and accurately used to identify the herb plants by scientists as well as the users. This research employs a deep learning approach to design an artificial intelligence system that can be used to identify the herb plants. In this paper, we have selected six plants from Kaggle database that holds maximum benefits which are Indian beech, curry, tulsi, betel, mint, and neem.

Fields of Study & Subjects

Smart Agriculture and AI Advanced Neural Network Applications Image Retrieval and Classification Techniques

Publication details

Journal / source
IGI Global eBooks
Pages
143–168
Publication date
6 March 2026
Language
NG
Document type
Book chapter