Motivation

From literature survey we get an idea that existing technique is less precise in identifying diseases in a plant, so it is necessary to find and implement a new method. Hence, segmented image using finest classifiers are applied to increase the accuracy.

Objectives

  1. Pertaining HIS color processing method
  2. Eliminating noise by modifying median filter
  3. K-​​​means clustering used to measure the performance of segmentation
  4. SVM classifier for categorizing disease and image feature extraction

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