Aushadhi ved : Medicinal plant recognition using image processing

Registration ID: IJNRD_209491

Published ID: IJNRD2312255

DOI: Click Here to Get

Aastha Sharma , Akshat Bhandari , Amatullah saify , Chinmayee Ahire

image processing, SVM, plant identification, Identification and Classification, machine learning, image preprocessing, image segmentation, feature extraction, Gaussian filtering, K-means clustering, Principal Components Analysis (PCA).

Identification of plants through plant leaves based on their shape, color, and texture features using digital image processing techniques for classifying the plant species using different machine learning algorithms. This research work includes reviewing multiple image processing methods to use machine learning to identify multiple plants using its leave feature in the form of an image. Here the image processing technique is considered as the main method for classifying different plants of different characteristics or specific portions or regions of the plant leaves which will be then identified through image processing. The proposed research work only focuses on the identification and classification of different parts of leaves to identify the plant species. This research paper offers an overview of the various classification methods used in the classification of plant leaf identification. Throughout the research work, SVM is the main method or algorithm that we are using for the identification or classification of plants. The proposed work through experimental results claims a better accuracy in the identification of plant species through its leave feature and it makes the identification of plants much easier and safe time.

Published Paper   E-Certificate

Aastha Sharma, Akshat Bhandari , Amatullah saify , & Chinmayee Ahire (December-2023). Aushadhi ved : Medicinal plant recognition using image processing . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), c501-c508. https://ijnrd.org/papers/IJNRD2312255.pdf

Volume 8 Issue 12, December-2023

Pages : c501-c508

Paper Reg. ID: IJNRD_209491

Published Paper Id: IJNRD2312255

Downloads: 000122013

Research Area: Information Technology 

Country: Indore, Madhya Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312255.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312255

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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