… the classification efficiency of plant leaf diseases. The experiment showed that, compared
with different CNN … of tomato disease classification, no matter the number of parameters or …

… the detection results of the improved Cascade R-CNN-OHEM-GIOU model, two damage
grading models based on the area and number of disease … forecasting of other crop diseases. …

… Deep neural networks based recognition of plant diseases by leaf image classification [J]. …
Deep neural networks based recognition of plant diseases by leaf image classification[J]. …

… manual detection of types of grape leaf diseases, a grape leaf disease image
classification … that the accuracy of the improved grape leaf disease classification model (Grape-Xception) …

… Four Convolution Neural Network (CNN) … classify apple leaf diseases. The results show
that EfficientNet-B0 has the best performance in identifying and classifying apple leaf diseases …

… region-based convolutional neural network (Faster R-CNN) with … of tea diseases: brown
blight, blister blight, algal leaf spot … The developed tea lesion classification model provides tea …

… As image training sample data of crop disease is limited, this … are classified according to the
types of crops and disease types… 卷积神经网络(convolutional neural network,CNN)是最常见的…

… Identification of typical crop leaf diseases based on convolutional neural network[J]. … -destructive
detection of tomato diseases, a tomato leaf disease classification and recognition meth…

… classification model based on CNN architecture. The … This paper proposes three different
CNN architectures with … scales to extract features from maize leaf disease images. The average …

… to improve the recognition rate of plant leaf disease detection by edge … convolutional neural
network to build a plant leaf target recognition model and a plant leaf disease classification …