Discovery of Plant Disease Based on Content Recovery from Images

Abstract This paper presents a technique to discover plant disease. We are concentrating on agriculture plants only. The method which we are using is relying on edge finding, color as well as histogram matching. This is nothing but content based image retrieval. In India, Farmers are bearing from an issues growing from several types of plant illnesses. Sometimes plant’s experts are also not able to identify the disease that results in need of recognition of accurate type of disease and consequently to crop spoil if not taken care of at appropriate time. Hence, we should take the advantage of available technology in automatic detection and categorization of agricultural plants has become crucial. This paper used CANNY’s edge detection procedure and compare the accuracy of disease plant with Sobel Edge Detection procedure and to obtain histogram for both healthy and unhealthy plant leaves. After histogram design, we are comparing all the stored images to recognize whether plant leaf has been polluted or not. In addition, this paper also shows how we can fetch images from digital camera attached to the computer on which our application software has been installed. Also calculate RGB histogram of each image for increasing the accuracy of image matching. Furthermore, Most of the existing software are not supporting database on larger scale, however our aim is to provide support to huge databases, so as to increase scope of the software. To sum up, this application software will definitely help Indian farmers to tackle with the problem of plant diseases which in turn assist them to increase the productivity of agricultural field.