In many of the developing countries economy greatly depend on the agricultural productivity. The most common form of detecting the plant disease infection is recognized from the leaves color and texture. The researchers with the help of information and communication enabled technology, automated the farmers traditional process of plant disease identification. To enhance the agricultural crop production, plant disease detection should be done at early stage in an automatic manner that helps in spreading the infection to other plants. This paper focus to analyze the previous studies in identifying paddy plant disease detection system. The manuscript summarizes various available paddy leaf diseases, and discusses techniques employed in the classification of healthy and infected paddy plant. The survey would help the researchers to understand the challenges involved in dataset collection and highlights several points in future research directions.

Edge detection, Image processing, Internet of Things, K-means clustering and K Nearest neighbor

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