Software prototype system, support vector machine, K nearst classifier, minimum distance classifier
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.
Article Details
Unique Paper ID: 145348
Publication Volume & Issue: Volume 4, Issue 10
Page(s): 347 - 348
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