Tiller estimation method using deep neural networks

HIGHLIGHTS

• who: Rikuya Kinose from the United States Aberystwyth University have published the paper: Tiller estimation method using deep neural networks, in the Journal: (JOURNAL)
• what: The authors propose two tiller number estimation methods using different regression models: support vector regression (SVR) and linear regression (LR). The authors investigate two methods of estimating the area or aspect ratio of the plant within an image in the pretext tasks: the area or aspect ratio themselves and the discretized area or aspect ratio.
• how: The results showed that when using the framework of the proposed method . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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