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@article{145348,
        author = {Divya.N and Surega.V},
        title = {Review on rice plant leaf disease},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {347-348},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145348},
        abstract = {The rice is most widely cultivated and economical crop in the wold.The early detection of disease in the rice plant is more essential.Rice plant is frequently affected with the leaf diseases such as rice bacterial blight,rice blast,rice brown spot,rice sheath rot. Methods such as pattern recognition using software prototype system,automated systems by using support vector machine,image processing using K nearst classifier and minimum distance classifier,data minning techniques have been developed to identify the diseases  and provided necessary remmidial actions for the respctive diseases.In this paper provides the review of detecting the various rice plant diseases.},
        keywords = {Software prototype system, support vector machine, K nearst classifier, minimum distance classifier},
        month = {},
        }