A Survey on Plant Leaf Disease Detection

Deep learning constitutes a recent, modern technique for image processing with accurate results. Many techniques of deep learning and image processing are used for leaf disease detection and classification. Deep learning techniques such as CNN, Fast RCNN, Faster RCNN, and Mask RCNN, and image processing techniques such as image preprocessing, segmentation, feature extraction etc. are used for disease detection. As per the survey, deep learning technique provides high accuracy than image processing technique. Plant leaf disease detection has wide range of applications available in various fields such as Biological Research and in Agriculture Institute. Agricultural productivity is something on which economy highly depends. This paper provides an overview of various techniques that are used for Plant Leaf Disease Detection. It also covers survey on different diseases classification techniques that can be used for plant leaf disease detection. Some authors are describing to find leaf diseases using various methods and to recommend the various implementations