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 . . .
  

   

  

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