CROP DISEASE DETECTION BY KERAS USING CONVOLUTION NEURAL NETWORK

Abstract

Plants play a vital role in climate change, Agriculture industries, and a country's economy. Thereby taking care of plants is very decisive. Not only human beings but crops/plants are also carried out by several diseases caused by bacteria, fungi, and viruses. Pinpointing these diseases are take so much time and curing them is essential to prevent the whole crop from being devastated. This paper is focused on a deep learning model to dig out diseases on plant leaves. But, In the future model can be combined with a drone or any other system to live to detect diseases from plants and report these diseased plants’ location to farmers so that they can cure appropriately. All-important steps which are required to carry out disease recognition on plant leaves are explained in the paper. Healthy crop leaves and background images of corps are present in different classes, enabling the model to differentiate between not healthy leaves and healthy leaves from the environment by using the Convolution neural network.