Abstract
In agriculture, plant diseases have grown to be a dilemma as it leads to the losses in the yield, along with that in some conditions the quality of the agriculture product is also affected. Health monitoring and the identification of disease in plant is very difficult manually. It requires expertise in the plant disease and also it requires more processing time. Hence, image processing is used for the identification of plant diseases. Disease detection involves steps like image acquisition, image pre-processing, image segmentation, feature extraction, object recognition and classification. Based on the output obtained from the abovementioned criteria’s, the disease with which the plant affected is observed. This paper discussed the method used for the detection of the plant diseases using their image.
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