… We introduce a deep convolutional neural network (CNN) to improve malaria diagnosis …
the early disease detection technique to identify tomato leaf detection using hybrid deep learning…

… Abstract: In recent years, convolutional neural networks (CNN) have been rapidly … and
widely used in plant disease detection. Tomato leaf disease is an important plant disease, so it is …

… Tomato leaf diseases recognition results using the four … of maize leaf diseases based on
convolutional neural network[J]. … crop leaf diseases based on convolutional neural network[J]. …

… other neural network methods, and the detection speed … leaf disease recognition. The
method can effectively identify 10 kinds of tomato leaf disease, which provides a new idea for plant …

… Method of tomato leaf diseases recognition method based on deep residual network[J]. Smart
… Bacterial foraging optimization based radial basis function neural network (BRBFNN) for …

… rice leaf blast using multilayer perception neural network[J]. … Identification of tomato leaf
diseases based on multi-channel … by the model for apple leaf disease recognition is reliable. …

… Deep Convolutional Neural Network(DCNN)models,a recognition method of tomato disease
… improved deep residual network model for tomato disease recognition,the limited dataset of …

… Tomato leaf diseases recognition based on improved Multi-Scale … recognition model for
mobile platform based on convolutional neural network (CNN), and implemented a tomato leaf …

… recognition of wheat leaf disease image on mobile terminal, image recognition model of
wheat leaf disease was established based on lightweight convolutional neural network (CNN) …

… problems of too many parameters and low recognition accuracy in deep neural network for
tomato disease recognition, … Recognition system of tomato leaf disease based on attentional …