Review of the Application of CNNs to Detect Newly Emerging Plant Diseases

Abstract

Early detection of diseases is a crucial factor in agriculture for ensuring the efficient growth of plants and maximizing yield. Various newly emerging diseases make the detection of diseases and hence the prevention of the crops a very difficult and complicated task. Even expert farmers can not recognize these types of diseases with direct observation of leaves with the naked eye.  The only solution to detect these diseases is to use machine learning concepts. Deep learning with convolutional neural networks (CNNs) is a recent trend in the recognition and categorization of newly emerging plant diseases. In this paper, a review of the application of convolutional neural network (CNN) algorithms in detecting and classifying newly emerging plant diseases is presented.