Study on Identification and Classification of Medicinal Plants Using Machine Learning and Deep Learning

AUTHOR(S)

Nilesh S. Bhelkar, Dr. Avinash Sharma

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.109

ABSTRACT
Now a day’s pharmaceutical industry facing a challenges to create a medicine for new illnesses. The major resource to find new medicines are medicinal plants which are available in abundant but most of the Professional like medical practitioners, botanists, medical representatives and pharmacist are not in position to recognize the right therapeutic plant. We benefit greatly from recent advances in computer vision technology such as deep learning, machine learning, and image processing. The researcher and academician are developing many automatic identification and recognition system which are used to recognize and categorize the medicinal plants so as to pharmacist prepare a medicine within less time which overcome the limitation of traditional manual identification system. The performance of identification and classification system is greatly depends on the feature extraction part of the system. One of the most recent technology due its deep features extraction capability and classification accuracy used for identification and classification is deep learning. This study reviews effectiveness of several deep learning and machine learning methods.

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How to Cite This Article:
Nilesh S. Bhelkar, Dr. Avinash Sharma .Study on Identification and Classification of Medicinal Plants Using Machine Learning and Deep Learning . ijetms;7(3):716-722. DOI: 10.46647/ijetms.2023.v07i03.109