Annals of emerging technologies in computing (aetic) an efficient technique for recognizing leaf disease based on the most effective deep cnn hyperparameters

HIGHLIGHTS

• who: Peter Excell from the Bangladesh University of Business and Technology, Dhaka, Bangladesh have published the research work: Annals of Emerging Technologies in Computing (AETiC) An Efficient Technique for Recognizing Leaf Disease Based on the Most Effective Deep CNN Hyperparameters, in the Journal: (JOURNAL)
• what: The authors first used various convolutional neural_network models namely DenseNet 121 , DenseNet 169 , ResNet 50 , VGG 16 , VGG 19 , EfficientNet b7 to identify different diseases of tomato leaf and compared their results. In the study presented by Amara et_al , the LeNet CNN model was utilized to identify banana leaf diseases . . .
  

   

  

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