Using machine learning for crop yield prediction in the past or the future

HIGHLIGHTS

• who: Alejandro Morales and Francisco J. Villalobos from the of Bonn, Germany have published the research: Using machine learning for crop yield prediction in the past or the future, in the Journal: (JOURNAL)
• what: Such a comparison was not intended as a validation of the crop models but rather to verify that the predicted yields were reasonable.
• how: If an algorithm performs worse than this approach it is considered to be significantly overfitting the data. p RSS + PL2=RSS - l obj2 j=1
• future: Of course such an analysis will always . . .
  

   

  

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