Smart herbal assistance for health care

An important part of maintaining both mental and physical well-being is through the use of ayurvedic medicines. The study will employ deep learning techniques to recognise regional kinds of the herbal plants. The plan has a high level of social relevance because it would address the issues of numerous stakeholders, including doctors, pharmacists, the government, and the general public. A considerable impact on medical and other relevant research may from the identification of uncommon plant species. Identification of plant species in isolated and forested places, where humans have limited access, is an additional potential use. We need prior exposure to the plant in order to learn about it and its medical properties. Since they are unaware of these plants before, some people may find the process tiresome. result 28 Additionally, occasions there are when we must rely on others to identify therapeutic plants. i.e., botanists and knowledgeable individuals. Therefore, using current technology and computer devices, we developed a model (Deep Neural Networks) for the identification of medicinal plants in order to avoid all of these kinds of circumstances

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-12
DOI
https://doi.org/10.5281/zenodo.14099541
Primary Topic
Artificial Intelligence and Decision Support Systems
Type
article
Field-Weighted Citation Impact
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article

Smart herbal assistance for health care

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence and Decision Support Systems
article

Smart herbal assistance for health care

article en

Abstract

An important part of maintaining both mental and physical well-being is through the use of ayurvedic medicines. The study will employ deep learning techniques to recognise regional kinds of the herbal plants. The plan has a high level of social relevance because it would address the issues of numerous stakeholders, including doctors, pharmacists, the government, and the general public. A considerable impact on medical and other relevant research may from the identification of uncommon plant species. Identification of plant species in isolated and forested places, where humans have limited access, is an additional potential use. We need prior exposure to the plant in order to learn about it and its medical properties. Since they are unaware of these plants before, some people may find the process tiresome. result 28 Additionally, occasions there are when we must rely on others to identify therapeutic plants. i.e., botanists and knowledgeable individuals. Therefore, using current technology and computer devices, we developed a model (Deep Neural Networks) for the identification of medicinal plants in order to avoid all of these kinds of circumstances

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 42%
Artificial Intelligence and Decision Support Systems
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Smart herbal assistance for health care · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS