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Ayurvedic Herb Detection using Image Processing

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Ayurvedic Herb Detection using Image Processing


Dinesh Shitole | Faisal Tamboli | Krishna Motghare | Raj Kumar Raj

https://doi.org/10.31142/ijtsrd23605



Dinesh Shitole | Faisal Tamboli | Krishna Motghare | Raj Kumar Raj "Ayurvedic Herb Detection using Image Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.491-494, URL: https://www.ijtsrd.com/papers/ijtsrd23605.pdf

Trees are an inseparable part of our ecosystem and the reducing number of herb varieties is a serious problem. To conserve herbs, their immediate identification by botanists is a must, thus a tool is needed which could identify herbs using easily accessible details. There is a growing scientific consensus that plant shelters have been altered and species are dying at rates never seen before. The biodiversity problem is not just about the problematic state of herbs species but also of the specialists who know them. This initially requires data about various plant species, so that they could be foreseen, protected and can be used for next generation. Plants form the basis of Ayurveda and today's Modern-day medicine are a great source of income. Due to cutting of forests and Pollution, lot of medicinal herb leaves have almost become extinct. So, there is an immediate need for us to identify them and replant them for the use of next generations. Leaf Identification by physical means often leads to incorrect identification. Due to increasing illegal transaction and incorrect practices in the nascent drug industry on one hand and lack of enough professionals on the other hand, a self-automated and robust identification and classification mechanism is needed to manage the huge amount of data and to end the malpractices. This paper aims at implementing such system using image processing with images of the plant leaves as a basis of classification. System returns the closest match to the query. The proposed algorithm is implemented on 5 different plant species.

Gaussian blur, shape features, colour features, contour, thresholding, perspective transformation


IJTSRD23605
Volume-3 | Issue-4, June 2019
491-494
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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