Image Processing based Plant Disease Detection and Classification

Generally, it has been observed that due to lack of proper knowledge disease intensity, the farmer is not able use pesticide in quantity treat diseases. The mostly becomes more than necessary, which there only a loss money, but also causes soil and environmental pollution. If diseases severity-wise labelled data sets are available, can be used develop recommendation systems. Images with least infection severity train validate DL model capture plant at very initial stage. Classification techniques may viewed as variations detection systems; however, instead attempting identify one particular illness among several diseases, classification methods detect name harming plant. This presents various based on image processing results.