survey of plant disease detection techniques based on image processing and machine learning

The Plant disease identification is the key which prevent loss and improve quality of agriculture products. plant detection techniques have various phases include pre-processing, segmentation, feature extraction classification. In pre-processing stage, contrast input image increased. points are not visible highlighted. second stage segmentation can help in selecting region interest. phase will extract relevant features plant. last phase, classification algorithm be applied predict name disease. schemes already being proposed for detection. this paper, reviewed terms methodologies outcomes.