A Literature Review on Citrus Fruits and Leaves diseases detection using Deep Neural Network model

Abstract

In Agriculture, decline in the yield of citrus fruits is mainly caused by diseases occurring in citrus fruits and leaves. Early detection of diseases involves usage of deep learning strategies by designing an automated detection system with a convolutional neural network (CNN) model. The diseased citrus fruits and leaves of Scab, Black Spot, Canker, Melanose, and Greening are separated from healthy leaves by combining and fusing several layers. The main purpose is to build a model which identifies the disease and allocates the corresponding disease class to the image. Deep learning classifiers uses many layers with optimal parameter set whereas classical feature representation methods are employed by Machine Learning classifiers to classify images.