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  Published Paper Details:

  Paper Title

Herbal Plants Detection Using Deep Learning

  Authors

  S.Vimala,  K.Thamayanthi,  K.Varshini,  B.Reethika,  Dr.M.Kumar

  Keywords

Image of medicinal plant leaves, Deep Learning, Convolutional Neural Network and V3 Algorithm, Medicine.

  Abstract


Medicinal plants (herbs) are plants that are known to have certain compounds that are nutritious for health. Each part of the medicinal plant is believed to have various properties to prevent, diverse or even cure a certain disease. In Indonesia there are 30,000 types of plants and 7000 of them are classified as medicinal plants (herbs)[1]. In addition to the many presence of these medicinal plants, the use of medicinal plants is also considered to be safer because it has natural ingredients compared to chemical medicine. To find out the content of medicinal plants can be done by phytochemical screening methods, so it can be known active compounds that are in certain plants that can be useful as a madicine[2]. The human body is complex and organic, while chemical medicines contain chemicals that are inorganic and pure. Therefore, chemical medicine are considered not suitable for consumption by the human body, which if consumed continuously can even be bad for human health. However, some chemical drugs are actually symptomatic (temporary) so they must be taken for life by patients with certain diseases[3]. The number of medicinal plants is still not balanced with the public's knowledge about the medicinal plants themselves, so many people prefer chemical medicines because they are considered more practical and easy to obtain.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4770

  Paper ID - 258602

  Page Number(s) - p467-p472

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  S.Vimala,  K.Thamayanthi,  K.Varshini,  B.Reethika,  Dr.M.Kumar,   "Herbal Plants Detection Using Deep Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.p467-p472, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4770.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


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