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All Journal International Journal of Electrical and Computer Engineering
Ananda, Vidya Hullekere
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Computer Science & IT Electrical & Electronics Engineering

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Harnessing deep learning for medicinal plant research: a comprehensive study Ananda, Vidya Hullekere; Rao, Narasimha Murthy Madiwala Sathyanarayana; Krishnamurthy, Thara Dharmapura
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp908-920

Abstract

In today’s world, people are more prone to diseases due to food adulteration and pollution in the environment, and people have found a way of using herbal medicine as an alternative to allopathic medicine, especially since coronavirus disease 2019 (COVID-19). Medicinal plants are the source of herbal medicines that increase the immunity of humans. Medicinal plants are used in many applications, like pharmaceuticals, cosmetics, and drugs. Medicinal plants are of great importance, and hence this work presents a review of the medicinal plants grown in Karnataka State, India. The work also highlights species identification and disease detection of medicinal plants employing machine learning and deep learning approaches. The paper provides information about datasets available for various medicinal plant leaf images. The deep learning models used for species identification and disease detection in medicinal plants have been discussed along with the results.
Co-Authors Krishnamurthy, Thara Dharmapura Rao, Narasimha Murthy Madiwala Sathyanarayana