Identifying Plant Diseases on Digital Farming using Canny Edge Detection Algorithm

Plant diseases are usually affected by pests, insects, and pathogens then reduce output on a large amount of scale if not measured on time. Farmers are losing money due to agricultural diseases. When the cultured area is huge, in acres, farmers find it hard to watch the yields on a systematic basis. The suggested system offers a resolution for routinely observing the cultured area as well as automatic disease discovery using remote sensing pictures. The suggested method alerts the agriculturist to yield infections so that additional action can be taken. As soon as a disease begins to spread on the outer layer of the plant leaves, the suggested method's goal is to detect it early. The suggested system has two stages of operation: the first stage focuses on machine training by using data sets. The dataset involves training with both diseased and healthy data sets and the second stage involves monitoring the yield and identifying disease by using Canny's edge detection algorithm.