A Novel Based Approach for Detection of Canker Disease on Citrus Leaves Using Image Processing Methods

摘要

The detection of citrus plant leaf disease generally includes many methods and proposing work gives the detailed information about different Image Processing methods. One of the major sources of nutrients and energy for the human race are citrus plants which are irreplaceable in nature. Bacterial disease Citrus canker is one of the diseases which are caused by Bacterium Xanthomonas Axonopodis PV Citric (XAC) and its infection results in reduced fruit quality. Detecting citrus canker at the initial stage is the key to control and it is difficult to eradicate. K-means clustering is the best method used among all other methods but Color co-occurrence Matrix gave a better analysis based on texture. Proposed paper gives information about different traditional methods which are used in detection of citrus canker leaf.