IDENTIFICATION OF HEALTHY AND DISEASED PADDY LEAVES USING KNNCLASSIFIER

Suresha M, Shreekanth K N, HarishaNaik T

Abstract


In agricultural field recognition of healthy or diseased plant was the major constrain. The control period was habitually missed because the traditional approaches are taking long time to analyse.Because an expert has to visit agricultural field repeatedly, it may take more time to analyse, and it may be burden to the farmer.In this proposed work, recognition of healthy and diseased leaves is done using LBP features.Global thresholding Otsu methodis used for segmentation andkNN classifier is used to classify the data, andfound a successes rate of 84.43%. Interpolation with scalar values is done for smoothing an image.

Keywords


Disease, kNN classifier, Segmentation, Texture Features.

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DOI: https://doi.org/10.26483/ijarcs.v8i9.5197

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