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  Published Paper Details:

  Paper Title

Medicinal Plant Detection Using Image Processing

  Authors

  M P Ashwin,  Midhunraj PK,  Muhammed Dilshad PK,  Muhsin Kassim,  Gowtham S Nair

  Keywords

Image processing , Vgg19 , Areal drone detection

  Abstract


This abstract presents a novel method that makes use of drones and image processing tools to identify medicinal plants in distant forest areas. With the help of the Jupyter IDE and Python programming language, the study uses the Vgg19 Convolutional Neural Network (CNN) to accurately identify plants. Drones can be used to explore inaccessible areas, which improves conservation and biodiversity monitoring initiatives. Real-time analysis is made possible by the integration of image processing techniques, which helps researchers and conservationists make decisions quickly. In the end, our approach promises to transform the identification and monitoring of medicinal plants, supporting biodiversity preservation and sustainable resource management.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405503

  Paper ID - 260272

  Page Number(s) - e696-e700

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  M P Ashwin,  Midhunraj PK,  Muhammed Dilshad PK,  Muhsin Kassim,  Gowtham S Nair,   "Medicinal Plant Detection Using Image Processing", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.e696-e700, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405503.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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