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AvD Ayur Vriksha Diagnostics for Precise Identification of Medicinal Leaves in Ayurveda Using Deep Learning Techniques
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Author(s): J. Jesy Janet Kumari (The Oxford College of Engineering, Visvesvaraya Technological University, India), S. Elilmaniyamma (The Oxford College of Engineering, Visvesvaraya Technological University, India), P. Anushree (The Oxford College of Engineering, Visvesvaraya Technological University, India), Mounika M. S. (The Oxford College of Engineering, Visvesvaraya Technological University, India)and Azalfa Maryam (The Oxford College of Engineering, Visvesvaraya Technological University, India)
Copyright: 2025
Pages: 28
Source title:
Future Innovations in the Convergence of AI and Internet of Things in Medicine
Source Author(s)/Editor(s): Velliangiri Sarveshwaran (National Chung Cheng University, Taiwan), Karthikeyan Periyaswami (National Chung Cheng University, Taiwan)and Keping Yu (University of Hosei, Japan)
DOI: 10.4018/979-8-3693-7703-1.ch010
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Abstract
Medicinal plants have been used for hundreds of years in conventional medical systems due to their therapeutic properties. However, accurately identifying these plants remains challenging, particularly for individuals lacking expertise in botany. This study introduces an innovative method for the automated recognition of medicinal plants employing DenseNet, a highly layered neural network architecture commonly used for image categorization tasks. The method centered on gathering a wide array of portraits of various medicinal plants, together with their respective labels. To improve image quality and uniformity, preprocessing methods shall be used. Overall, the work presents a promising solution in terms of the automatic identification of medicinal plants and harnessing capabilities of DL methodologies. This approach can significantly aid botanists, herbalists, and healthcare practitioners in identifying and utilizing medicinal plants for various therapeutic purposes.
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