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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

Crops suffer from many economic plant  diseases. A leaf spot disease creates spots on the foliage.  The spots will vary in size and color depending on the  plant, the organism involved and the stage of development.  Generally leaf spots are examined manually and subject to  expert opinion. Leaf infections called “Leaf Spots” are  caused by a variety of fungi and some bacteria on many  plants. In this paper, an image processing system is being  developed for the detection of leaf spots and we introduce  Noise optimization before performing the Adaptive Fuzzy  Clustering algorithm which will classify the pixel into two  groups: Normal and Noisy, which will reduce the response  time with a higher quality. Our aim is to apply Adaptive  Fuzzy Clustering algorithm which is efficient in handling  data with outlier points, in comparison with Fuzzy C  Means algorithm which gives only very low membership  with outlier points

Keywords :

: Leaf Spots; Noise Optimization; Adaptive Fuzzy  Clustering algorithm

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