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Classification And Detection Of Diseases In Plant Leaf Using K-means Segmentation And Clustering
K Devipriya,  Ch.Sri Satya Jyothirmai,  N Naga Navya Spandana
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
Unique Identification Number - IJEDR2003016Page Number(s) - 92-96Pubished in - Volume 8 | Issue 3 | August 2020DOI (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