Plant Disease Detection Using Image Processing Methods in Agriculture Sector

Abstract

Agriculture serves as the backbone of a country’s economy and is vital. Various tactics are being implemented in order to maintain awareness of good and disease-free yield creation. In the rural areas, steps are being done to aid ranchers with the best kind of insect sprays and pesticides. In a harvest, disease usually affects the leaves, causing the crop to lack proper nutrients and, as a result, its quality and quantity to suffer. In this study, we use programming to recognise the impacted region in a leaf organically and provide it with a better arrangement. We use several image processing algorithms to determine the impacted region of a leaf. It consists of several steps, including the acquisition of images. It consists of many processes, including image acquisition, image pre-processing, division, and highlights extraction.