… the problems of traditional classification methods and … CNN networks pertinent to plant leaf
disease classification. We summarized DL principles involved in plant disease classification. …

… for the plant disease detection and classification from leave images captured in various
resolutions. Dense convolutional neural network architecture is trained on a large plant leaves …

… to perform plant disease detection and identification, the … detecting and identifying crop leaf
disease using CNN based AlexNet model. This proposed model is compared with other CNN …

… , the CNN model is proposed for the classification of rice and potato plant leaf diseases.
Rice … This paper has proposed a CNN model for the identification of plant leaf diseases. The …

… robustness of CNN classifiers for plant leaf disease recognition. Transfer … using CNN models
pre-trained on the ImageNet dataset and then retraining them for leaf disease recognition. …

… plants are the leading factors for loss of crop production. The manual detection and identification
of the plant diseases require a careful and observative examination through expertise. …

… [12], the authors introduced the BIM, GAN and NST augmentation techniques for plant leaf
disease classification and compared the performance of each technique. The experimental …

… various activation functions to train and classify the output. The design … crop disease with
greater accuracy and prevention of further damage done to the crops. The area of the disease …

… to classify and detect plant leaf diseases using deep learning techniques. The used images
were obtained from (Plant … used the convolutional neural network (CNN), through which plant …

… by state-of-the-art DL optimizers through a comparative study. In this regard… plant disease
classification in two steps. In the first step, the performance of 18 convolutional neural networks …