Crop Disease Detection using Machine Learning: Indian Agriculture

Computer Engineering

Plant diseases are generally caused by pest, insects, pathogens and decrease the productivity to large scale if not controlled within time. Agriculturists are facing lose due to various crop diseases. It becomes tedious to the cultivators to monitor the crops regularly when the cultivated area is huge that is in acres. The proposed system provides the solution for regularly monitoring the cultivated area and provides the automated disease detection using remote sensing images. The proposed system intimates the agriculturist about the crop diseases to take further actions. The purpose of the proposed system is to detect diseases early, as soon as they start to spread to the outer layers of the leaves. The proposed system works in two stages: the first step involves training data set. This includes training on both healthy and as well as diseased data sets. The second step involves crop observation and disease detection using Canny’s edge detection algorithm.

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