Citrus disease detection using convolution neural network generated features and softmax classifier on hyperspectral image data

HIGHLIGHTS

• who: Pappu Kumar Yadav and collaborators from the Sejong University, South Korea Management, India have published the research: Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data, in the Journal: (JOURNAL)
• what: Many previous approaches dealt with only a few classes, while this study seeks to distinguish between eight unique peel condition classes with comparable or better performance. The overall goal of this study was to use a DL-based approach with CNN to classify eight different peel conditions of citrus with HSI images. The CNN architecture that . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.