Citrus leaf unhealthy region detection by using image processing technique

Citrus is nutrition fruit and required for human being. This is one for major cash crop in India. The various bacterial and microorganisms attack on plant affects various parts like stem, leaves and fruit. This research explain about implementation of image processing to determiner abnormalities and diseases over citrus leaves. This research model divided into four parts. First stage is image pre-processing which is including normalization and contrast adjustment. It enhance some important feature which is helpful for further processing. Second stage is image segmentation, it is utilized the portrayal of a image into something that is more important protest of enthusiasm from foundation. For probability management to detect the pull out and hardness area of cover leaves the figure accepting darken mutate YCbCr and bi-level thresholding. Finally classification performed using hidden markov model.