UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Volume 13 Issue 3
March-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRHM06039


Registration ID:
577724

Page Number

256-262

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Title

Artificial Intelligence in Conservation and Sustainable Utilization of Medicinal Plants

Abstract

Medicinal plants have long served as an essential component of traditional healthcare systems and continue to play a vital role in modern pharmaceutical research. However, increasing demand for herbal medicines, combined with habitat destruction and climate change, has placed significant pressure on natural populations of medicinal plants. Many valuable species are currently threatened due to unsustainable harvesting practices and ecological disturbances. In recent years, advances in artificial intelligence (AI) have opened new opportunities for improving biodiversity conservation and sustainable resource management. AI-based technologies such as machine learning, deep learning, remote sensing, and predictive ecological modeling provide powerful tools for analyzing large environmental datasets and supporting evidence-based conservation strategies. These technologies enable accurate identification of plant species, monitoring of natural habitats, prediction of species distribution under changing climatic conditions, and optimization of sustainable harvesting practices. The present paper discusses the emerging role of artificial intelligence in the conservation and sustainable utilization of medicinal plants. It highlights various AI applications including plant identification systems, habitat mapping, biodiversity monitoring, and predictive conservation planning. The paper also examines existing challenges and future prospects of integrating artificial intelligence into medicinal plant research and biodiversity conservation programs.

Key Words

Artificial Intelligence, Medicinal Plants, Biodiversity Conservation, Machine Learning, Sustainable Utilization, Digital Herbarium

Cite This Article

"Artificial Intelligence in Conservation and Sustainable Utilization of Medicinal Plants", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.256-262, March-2026, Available :http://www.jetir.org/papers/JETIRHM06039.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence in Conservation and Sustainable Utilization of Medicinal Plants", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. pp256-262, March-2026, Available at : http://www.jetir.org/papers/JETIRHM06039.pdf

Publication Details

Published Paper ID: JETIRHM06039
Registration ID: 577724
Published In: Volume 13 | Issue 3 | Year March-2026
DOI (Digital Object Identifier):
Page No: 256-262
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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