Medicinal Plant Classification Using Convolutional Neural Networks is an open-access, peer-reviewed research paper by Hulle Parineeta, Khandekar Nikita, Khurud Purva, Tambe Vaishnavi, Prof. K. C. Khemnar, Prof. A. A. Maniyar, published in Volume 14, Issue 11 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).
Hulle Parineeta, Khandekar Nikita, Khurud Purva, Tambe Vaishnavi, Prof. K. C. Khemnar, Prof. A. A. Maniyar
Abstract:
Medicinal plants play a crucial role in healthcare systems across the world due to their therapeutic and pharmacological properties. Accurate identification of these plants is essential for ensuring the correct use of herbal medicines and preventing adulteration. Traditional methods of plant identification rely on expert knowledge and manual examination of morphological features, which are often time consuming and error-prone. With recent advancements in Artificial Intelligence (AI), image based plant classification using Deep Learning (DL) techniques has gained significant attention. In this research, a Convolutional Neural Network (CNN) model is proposed for automatic classification of medicinal plants based on leaf images. The CNN model effectively extracts and learns hierarchical features from plant images, resulting in high classification accuracy compared to traditional machine learning methods. The system is trained and evaluated on a publicly available dataset of medicinal plant images. Experimental results demonstrate that the proposed CNN-based approach achieves robust and reliable performance, making it a promising tool for digital herbarium development, biodiversity conservation, and pharmaceutical research.
https://doi.org/10.62226/ijarst20252590
PAGES : 1718-1722 | 7 VIEWS | 6 DOWNLOADS
Hulle Parineeta, Khandekar Nikita, Khurud Purva, Tambe Vaishnavi, Prof. K. C. Khemnar, Prof. A. A. Maniyar — “Medicinal Plant Classification Using Convolutional Neural Networks.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 14, Issue 11. DOI: https://doi.org/10.62226/ijarst20252590.
Hulle Parineeta, Khandekar Nikita, Khurud Purva, Tambe Vaishnavi, Prof. K. C. Khemnar, Prof. A. A. Maniyar | Medicinal Plant Classification Using Convolutional Neural Networks | DOI : https://doi.org/10.62226/ijarst20252590
| Journal Frequency: | ISSN 2320-1126, Monthly | |
| Paper Submission: | Throughout the month | |
| Acceptance Notification: | Within 6 days | |
| Subject Areas: | Engineering, Science & Technology | |
| Publishing Model: | Open Access | |
| Publication Fee: | USD 60 USD 50 | |
| Publication Impact Factor: | 6.76 | |
| Certificate Delivery: | Digital |