Perception by Image Processing in Citrus Fruits for Citrus Cancer

Abstract

Plant leaf disease is one of the dangerous causes for heavy loss of yield that reduce quantity and reduces quality of the agricultural invention Citrus plants such as lemon are mainly affected by citrus canker disease which affects the fruit production of the plants. Early canker disease distinguishing proof is one of the troublesome answers for expanding the plant generation. This paper intends to recognize and order the infection malady precisely from the influenced leaf pictures by embracing picture handling methods to distinguish plant leaf sicknesses from computerized pictures. Citrus canker is disease which is affected mainly to citrus plants, as it is prone to it when proper care of the citrus plant is not done. There are many diseases in plants which can be detected by their symptoms and visual observations. Amongst the disease in plants citrus canker is one among them which can be detected by digital image processing, which mainly involves preprocessing, segmentation, histogram, k cluster method. K cluster method is the important method where detection is much easier and predictable when compared to other methods. By this image processing technique this disease is detected and treated accordingly so that agriculturists do not go out in vain or worthless.