Plant Disease Detection and Classification Using Image Processing Techniques: a review

摘要

These days, Computerized imaging innovation needs in the farming field. It can help agriculturists to create early discovery and classification of leaf plant disease. In the agribusiness field, there are a few sorts of the infection that can attack and appear through the leaf. In case the disease isn't identified early, it can be provide a few influences to the sum and quality of the generation. Leaf plant disease can be identified and classified utilizing advanced image processing. Leaves of the plant are utilized to decide the type of diseases that contaminates the crops. Agriculturists can make early choices which are they can analyze the leaf plant infection. Advanced Image processing could be a quick technique, consistent and more exact procedure for leaf plant malady discovery. In this paper, we review leaf plant disease detection and classification using image processing methods from different authors that help agriculturists in the agriculture field. It contains a few stages such as image acquisition, image processing, segmentation, feature extraction, and classification.