In identifying and diagnosing cotton disease the pattern of disease is the important part. Various features of the image can be extracted viz. color of the infected part and by applying various color windows to the disease image and after that we obtained the vector value for this image, also similar procedure is applied for the normal cotton leaf image and that values compared with one another and vector distance is calculated and depending upon that vector distance the disease is identified and based upon this diagnosis is possible.

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Texture eigen feature classifier feature extraction detection