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An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal

About 7,200 medicinal plants are known to occur in India, of which, the leaves of a few hundred plants have medicinal properties. Identification of leaf drugs using venation is considered as one of the most reliable and convenient methods. Leaf identification by mechanical means may often lead to wr...

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Detalles Bibliográficos
Autor principal: Selvam, A.B.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111699/
https://www.ncbi.nlm.nih.gov/pubmed/21713143
http://dx.doi.org/10.4103/0974-8490.75461
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author Selvam, A.B.D.
author_facet Selvam, A.B.D.
author_sort Selvam, A.B.D.
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description About 7,200 medicinal plants are known to occur in India, of which, the leaves of a few hundred plants have medicinal properties. Identification of leaf drugs using venation is considered as one of the most reliable and convenient methods. Leaf identification by mechanical means may often lead to wrong identification. Due to the growing volume of illegal trade/malpractice in the crude drug industry on the one hand and lack of sufficient experts on the other, a much faster, convenient and reliable method is mandatory for the identification of Indian leaf drugs. Therefore, a new automated or semi-automated identification system based on venation pattern is inevitable for the present day condition to identify and authenticate the leaves of Indian medicinal plants.
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spelling pubmed-31116992011-06-27 An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal Selvam, A.B.D. Pharmacognosy Res Short Communication About 7,200 medicinal plants are known to occur in India, of which, the leaves of a few hundred plants have medicinal properties. Identification of leaf drugs using venation is considered as one of the most reliable and convenient methods. Leaf identification by mechanical means may often lead to wrong identification. Due to the growing volume of illegal trade/malpractice in the crude drug industry on the one hand and lack of sufficient experts on the other, a much faster, convenient and reliable method is mandatory for the identification of Indian leaf drugs. Therefore, a new automated or semi-automated identification system based on venation pattern is inevitable for the present day condition to identify and authenticate the leaves of Indian medicinal plants. Medknow Publications 2010 /pmc/articles/PMC3111699/ /pubmed/21713143 http://dx.doi.org/10.4103/0974-8490.75461 Text en © Pharmacognosy Research http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Communication
Selvam, A.B.D.
An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal
title An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal
title_full An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal
title_fullStr An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal
title_full_unstemmed An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal
title_short An automated or semi-automated identification system using venation pattern to delimit Indian leaf drugs: A proposal
title_sort automated or semi-automated identification system using venation pattern to delimit indian leaf drugs: a proposal
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111699/
https://www.ncbi.nlm.nih.gov/pubmed/21713143
http://dx.doi.org/10.4103/0974-8490.75461
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