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᷌㺘᰾ᡰᨀ… Identification method of rice leaf blast using multilayer perception neural network[J]. …

… meteorological yield stack-integrated learning prediction model has higher accuracy and …
learner to improve prediction accuracy, making it the optimal model for predicting maize yield …

… In the model, a simple and efficient multidimensional hybrid … classified predictions, it refers
to the ratio of the predicted correct … Deep learning models for plant disease detection and …

… Prediction of crop pests and diseases in cotton by long short term memory network[C]// … A
neural network approach for disease forecasting in grapes using weather parameters[C]// IEEE …

… -area and high-precision remote sensing of crop diseases. … Wheat powdery mildew
forecasting in filling stage based on … and genetic optimization neural network. Transactions of the …

… crop leaf diseases based on convolutional neural network[J]. … Plant disease detection with
deep learning and feature … 10 types of tomato diseases under Mixup hybrid enhancement and …

… the prediction … hybrid network structure are used to obtain high prediction accuracy and
good robustness. Key words: ozone concentration prediction,Convolutional Neural Network,…

… PlantDiseaseNet:Convolutional neural network ensemble for plant disease and pest
detection[J].Signal,Image and Video Processing,2022,16(2):301^309. [30] WANG CY,MARK LIAO …

… of artificial intelligence,especially deep learning,in genomics and crop genetic improvement,…
卷积神经网络(convolutional neural network, CNN)是深度神经网络的一种,也是基础的深度学 …

… hybrid deep learning model,which can extract the local features via convolutional neural
network… memory neural network for multi-step predictions of time series signals in nuclear power …