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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Classification And Detection Of Diseases In Plant Leaf Using K-means Segmentation And Clustering
Authors
  K Devipriya,  Ch.Sri Satya Jyothirmai,  N Naga Navya Spandana

Abstract
The analysis of the plant diseases may involve the detection of the abnormalities introduced in the plant leaves.The conventional methodology of naked-eye observation is an inefficient way of identifying the diseases in crops on a large basis. An artificial intelligence technique has been implemented by using k-means clustering (segmentation). This work focuses the detection and recognition of leaf diseases.K means clustering is used for segmentation of images. This method provides a solution to the early recognition of diseases. By using this method we can automatically identify the leaf diseases at initial stages.

Keywords- K-meansclustering, Image acquisition, leaf detection
Publication Details
Unique Identification Number - IJEDR2003016
Page Number(s) - 92-96
Pubished in - Volume 8 | Issue 3 | August 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  K Devipriya,  Ch.Sri Satya Jyothirmai,  N Naga Navya Spandana,   "Classification And Detection Of Diseases In Plant Leaf Using K-means Segmentation And Clustering", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 3, pp.92-96, August 2020, Available at :http://www.ijedr.org/papers/IJEDR2003016.pdf
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