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Call for Papers:Vol.12 Issue.1

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Title: :  Medicinal Plants Identification Using Deep Learning
PaperId: :  25081
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 5 2024
DUI:    16.0415/IJARIIE-25081
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rohan Kumar VermaCMR University
Syeeda MujeebunnisaCMR University
Sagar M Prajapathi CMR University

Abstract

Computer Engineering
Deep Learning, Plant Identification, Convolutional Neural Network, Pre trained Models, Image Processing, Medicinal Plants
Accurately identifying medicinal plants is crucial for their safe and effective use in various fields, including herbal medicine and biodiversity conservation. Manual identification methods are time-consuming, labor-intensive, and prone to errors. Recent advancements in machine learning and computer vision offer a promising solution by automating the identification process through the analysis of leaf images. This research presents a comprehensive study on the identification of various medicinal plants using a range of pre-trained deep learning models. We leverage the Indian medicinal leaves dataset from Kaggle, consisting of 80 species and approximately 6,900 leaf images. After preprocessing the dataset for image size and scaling, we explore multiple pre-trained models, including Xception, ResNet, VGG, and Inception, to evaluate their effectiveness in medicinal plant identification. The experimental results demonstrate the performance of each pre-trained model in accurately predicting the species of medicinal plants from leaf images. Furthermore, we develop a user-friendly interface that allows users to upload leaf images for identification. Upon analysis, the system provides detailed information on the predicted plant name, botanical name, common names, and medicinal uses. The implementation of this project has the potential to significantly benefit various stakeholders, including Ayurvedic practitioners, herbal medicine users, and researchers. By leveraging pre-trained deep learning models, this system streamlines the identification process and facilitates the safe and effective utilization of medicinal plants in healthcare and conservation endeavors.

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IJARIIE Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi . "Medicinal Plants Identification Using Deep Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 5 2024 Page 1403-1410
MLA Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi . "Medicinal Plants Identification Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 10.5(2024) : 1403-1410.
APA Rohan Kumar Verma, Syeeda Mujeebunnisa, & Sagar M Prajapathi . (2024). Medicinal Plants Identification Using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education, 10(5), 1403-1410.
Chicago Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi . "Medicinal Plants Identification Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 5 (2024) : 1403-1410.
Oxford Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi . 'Medicinal Plants Identification Using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, 2024, p. 1403-1410. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Medicinal_Plants_Identification_Using_Deep_Learning_ijariie25081.pdf (Accessed : ).
Harvard Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi . (2024) 'Medicinal Plants Identification Using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 10(5), pp. 1403-1410IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Medicinal_Plants_Identification_Using_Deep_Learning_ijariie25081.pdf (Accessed : )
IEEE Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi , "Medicinal Plants Identification Using Deep Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, pp. 1403-1410, Sep-Oct 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Medicinal_Plants_Identification_Using_Deep_Learning_ijariie25081.pdf [Accessed : ].
Turabian Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi . "Medicinal Plants Identification Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 5 ().
Vancouver Rohan Kumar Verma, Syeeda Mujeebunnisa, and Sagar M Prajapathi . Medicinal Plants Identification Using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(5) : 1403-1410. Available from: https://ijariie.com/AdminUploadPdf/Medicinal_Plants_Identification_Using_Deep_Learning_ijariie25081.pdf
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