Application Based Leaf Disease Identification Commonly Found In Pakistan by Employing Neural Networks

Abstract

As Pakistan is an agricultural country and there are fatal plants disease which reduces overall agricultural production and agricultural profits as well. Due to limited resources, there are a limited number of agricultural professionals in our country who could travel to remote locations and give awareness to farmers about plant diseases. These diseases are significant contributor to our economic losses and decreased agricultural output. It’s time consuming and takes many resources to get plants health checked by experts. Some crops are very sensitive and without proper knowledge and experts, farmers can face loss due to diseases. Due to shortage of production, it is imported from other countries every year. We can resolve this issue by only a small number of segmentation algorithms, through which, can identify leaf diseases. The primary goal of the proposed project is to give farmers a facility to manage their fields and to give consumers a way to shop with better knowledge about vegetables. The farmers will be able to keep health records of their crops by monitoring the plant for any disease through the plant leaf disease detection application. The farmers will also be able to check their crop’s health and detect diseases found in leaves. The leaf disease classification application will use artificial intelligence to detect diseases. This application will also use Convolutional Neural Networks (CNN) which is used for image and object recognition. The traditional method for detecting and identifying leaf diseases relies on skilled observation with the naked eye. In remote regions experts and consulting specialists might be unavailable. Leaf diseases can result in significant yield and quality losses when harvested. Farmers can take early precautions by detecting diseases found in leaves.