Baking duration prediction and management system based on image features

HIGHLIGHTS

• What: In this paper, deep learning is used to study the determination of tobacco maturity, and a system for predicting tobacco baking time is designed and implemented. In this paper, the residual network ResNet50 is selected as the base model, and the model structure of ResNet50 is shown in Figure 2.
• Who: Feng Xu from the The data in this paper comes from the laboratory of Fuzhou University, and there are more than six thousand pictures, which are classified according to the remaining date of baking, as shown in Figure , have published the research: Baking . . .
  

   

  

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