UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIR1907S45


Registration ID:
224416

Page Number

914-917

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Title

Image Segmentation Techniques for Leaf Disease Detection and Grading: An Analysis and Comparative Study

Abstract

Agriculture can reduce poverty, increase incomes and expand food security for 80% of the world’s poor, who lives in rural areas(FAO of UN, 2019). Plants exist everywhere and leaf is a plant organ, exposed to the external environment. Plants are important for the planet and for all living things. Plants are great sources of fiber and 70,000 to 80,000 plants and leaves species are used for medicinal or aromatic purposes globally. India with its ecological, geographical and climatic diversities is perhaps the richest nation with a vast herbal medicinal wealth and 15000-20000 plants have good medicinal value. These plants life begins from a seed but also plants health can be identified through the leaves. If leaves are not healthy, the yield and productivity of plants gets affected and thus affects the society. Image processing and segmentation play vital role in plant disease detection research. The accuracy of segmentation establishes the success of the image processing research, which penetrate as an energetic role in arena of agriculture. The paper provides an introduction about the image segmentation and summarizes the importance of plants. Especially various image segmentation methods, comparison and image segmentation roles in leaf disease area segmentation and grading are discussed in this paper.

Key Words

Image Segmentation, Plant leaf disease, Disease grading, Image Disease segmentation

Cite This Article

"Image Segmentation Techniques for Leaf Disease Detection and Grading: An Analysis and Comparative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.914-917, June-2019, Available :http://www.jetir.org/papers/JETIR1907S45.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Image Segmentation Techniques for Leaf Disease Detection and Grading: An Analysis and Comparative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp914-917, June-2019, Available at : http://www.jetir.org/papers/JETIR1907S45.pdf

Publication Details

Published Paper ID: JETIR1907S45
Registration ID: 224416
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 914-917
Country: Coimbatore, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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