AI Powered Ayurvedic Leaf Prediction and Disease Classification: A Comprehensive Analysis
Ayurvedic medicine, a fundamental component of India's traditional healthcare framework, is heavily dependent on the quality and efficacy of medicinal plants. Nevertheless, the medicinal properties of these plants can be adversely affected by diseases stemming from pathogens and environmental factors. This research explores the utilization of artificial intelligence (AI) methodologies, such as deep learning (DL), machine learning (ML), and technologies, for the prompt identification and diagnosis of plant diseases. The review emphasizes recent developments in this field, evaluates their success in disease detection, and pinpoints areas where further research is needed. By merging AI technologies with traditional practices, the integrity of medicinal plants can be preserved, promoting sustainable agricultural practices and improved disease management
Authors
- Madhiraju Sai Trisha
- R. Sathya
- R.V. Viswanathan (ORCID: https://orcid.org/0009-0002-2966-8592)
- E. Janani
- M. Suganthi
- S Dhivya
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/icvadv63329.2025.10960794
- Citations
- 1
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.75