Medicinal Herbs Identification in the wild by using CNN

Authors

  • Asad Hussain Faizan B.E Students, Department Of CSE, ISL Engineering College HYD India, Author
  • Mohd. Altaf Pasha B.E Students, Department Of CSE, ISL Engineering College HYD India, Author
  • Mohammed Waseem B.E Students, Department Of CSE, ISL Engineering College HYD India, Author
  • Dr. Mohammed Abdul Bari Prof. CSE, ISL Engineering College, Hyderabad, India. Author

DOI:

https://doi.org/10.62647/IJITCE2025V13I2sPP401-404

Keywords:

Classification, CNN, ANN

Abstract

Many rural communities have a strong belief
in plant diversity. They collect useful plants and herbs and
use them with indigenous knowledge and customs. One such
oldest system that results in the use of medicinal herbs is
Ayurveda. Approximately 10,000 plants are used medicinally
in India, but not all plants are included in the official
Ayurvedic Pharmacopoeia. Before becoming part of
Ayurvedic medicine, all plants need to be thoroughly
studied. For this reason, identifying herbs is the most
important step. Many of these identifications are fully
supported by human perception, leaving room for error and
misjudgement. Therefore, it is necessary to develop an
efficient system using computer vision, pattern recognition,
and image processing algorithms alongside the availability of
various combinations of feature detection methods with
different classifiers that are often utilized in building an
automatic identification system for herbal leaves using leaf
images and reveal its associated information to realize
knowledge.

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Published

14-06-2025

How to Cite

Medicinal Herbs Identification in the wild by using CNN. (2025). International Journal of Information Technology and Computer Engineering, 13(2s), 401-404. https://doi.org/10.62647/IJITCE2025V13I2sPP401-404