Plant Leaf Disease Detection Using Modified Segmentation Process and Classificatıon

Agriculture is essential in our Indian economy and the plant infections greatly affect the production rate in terms of quality and quantity. Humans get exhausted of monitoring the diseased plants and hence there is a necessity to monitor the plant growth everyday by using some software techniques. The proposed method will routinely detect and classify the plant diseases in exact way. The core process involved in this method comprises of image capturing, preprocessing, segmentation, extraction of informative features and finally classification part to conclude healthy or diseased. The proposed method utilizes a modified segmentation algorithm that improves the segmentation results, thus in turn improves the classification accuracy of the Artificial Neural Network classifier.