Survey on Detection and Classification of Plant Leaf Disease in Agriculture Environment

Abstract: In the agriculture environment, the detection and classification of the plant disease system plays very important role. In this first leaf image is captured and uploaded to the system where this image is compared with another image which is stored in the database. Comparison is take place with the help of algorithm which is named as content based histogram algorithm. For detecting the leaf disease image processing is used. The Image processing consist color extraction and then affected area is compare. The system helps to initial precautionary measures. If proper care is not taken then it will affected on quality, quantity and finally on productivity. This paper presents survey on different detection and classification techniques for plant diseases and also image processing technique which is used for automatic, fast and accurate detection as well as classification of plant leaf diseases. Keywords: K-Mean's clustering, Otsu Method, Fuzzy logic, Artificial Neural Network, Probabilistic Neural Network, Super Vector Machine, Plant leaf diseases.