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

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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
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AI Powered Ayurvedic Leaf Prediction and Disease Classification: A Comprehensive Analysis

Madhiraju Sai Trisha, R. Sathya, R.V. Viswanathan, E. Janani et al.
1 citations
Smart Agriculture and AI
1.75
article

AI Powered Ayurvedic Leaf Prediction and Disease Classification: A Comprehensive Analysis

Madhiraju Sai Trisha, R. Sathya, R.V. Viswanathan, E. Janani, M. Suganthi, S Dhivya
article en
1 citations

Abstract

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

Zero hunger
Openalex Percentile: Top 16%
Smart Agriculture and AI
1.75
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AI Powered Ayurvedic Leaf Prediction and Disease Classification: A Comprehensive Analysis — Madhiraju Sai Trisha, R. Sathya, et al. · (2025) | TGRS Research Map | TGRS