Frost prediction using machine learning and deep neural network models

HIGHLIGHTS

• who: Carl J. Talsma from the University of Maryland, United States have published the paper: Frost prediction using machine learning and deep neural network models, in the Journal: (JOURNAL)
• what: The authors develop and evaluate temperature prediction models using both random forest (RF) and deep neural_network (NN) models. The authors compare the results against forecasts made by the High-Resolution Rapid Refresh Model (HRRR). The authors show the biascorrected performance of the HRRR forecast against the alcalde weather station observations. While the authors show this metric, the models themselves are regression models due to the . . .
  

   

  

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