Piper plant classification using deep cnn feature extraction and hyperparameter tuned random forest classification

HIGHLIGHTS

• who: Data mining and colleagues from the Coimbatore, India have published the article: Piper Plant Classification using Deep CNN Feature Extraction and Hyperparameter Tuned Random Forest Classification, in the Journal: (JOURNAL)
• what: 13, pp. 233-258, 2022 From Table 16 and graph , it is more obvious that the Relu function employed by this study has higher accuracy with the value of 94 for all plants dataset and 88 as the accuracy value for the piper plant dataset when compared with the softmax activation function. The interface outputs in the model show the Classification process through . . .
  

   

  

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