Leaf Disease Detection using Fuzzy Based Method

Agriculture is a critical field on which Indian economy highly depends. This is the reason why disease detection in plants plays an vital role in this field, as having disease in plants is quite natural. Many of the farmers are unable to recognize new disease at an early stage. If proper care is not taken then it results in serious effects on plants, due to which product quality and productivity are affected. Detection of plant diseases through some automatic technique is beneficial as it detects the symptoms of diseases at early stage. This paper presents an algorithm for image segmentation technique which is used for automatic detection of plant leaf diseases and describes how the proposed system work on plant leaves which are affected by making use of image processing to detect diseases. Segmentation of the input image is a necessary aspect for disease detection. It is achieved through fuzzy logic for detection of plant disease. A test image is taken and compared with database image and then using Artificial Neural Network (ANN), dissimilarity is calculated with extracted parameters which are extracted using the Grey Level Co-occurence Matrix (GLCM) method. In case of disease being detected the corresponding person is alerted via message using GSM module.