Plant Disease Detection and Recognition using K means Clustering

Abstract

Crop cultivation plays a vital role in Agriculture. Above 70% of the people are in the agriculture field. Currently, the inefficient of the food materials are appropriate by the crop infection, where the production rate is reduced. It is because of the pesticides used in the agriculture field that leads to the diseases among the plants. This work explores the leaf detection and finds whether it is affected by the diseases or not. That makes the initial step to controlling the disease from spreading. A proposed method of enhanced k means clustering (EKMC) for crop early prediction the plant on image segmentation and masking of the green pixel. And finally, it detects the normal and abnormal leaf.