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

… tasks like plant disease detection and classification, which is the … on agriculture (including
plant disease recognition) by DL [43,54… In [78], rice plant diseases were identified by CNN, and …

… 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 …

… 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. …

… to detect and classify plant diseases by examining the leaf of a given plant. In this paper,
the … Identification of apple leaf diseases based on deep convolutional neural networks." …

… 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 …

… Therefore a Convolutional Neural Network model is created and developed … plant disease
detection and classification using apple and tomato leaf images of healthy and diseased plants…

… 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 …

… [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 …