Food waste reduction and economic savings in times of crisis: the potential of machine learning methods to plan guest attendance in swedish public catering during the covid-19 pandemic

HIGHLIGHTS

• who: Christopher Malefors from the Department of Energy and Technology, Swedish University of Agricultural Science, Box, Uppsala, Sweden Department for Innovation in Biological, and Forest Systems (DIBAF), University of Tuscia, Via SCamillo De Lellis, Snc, Viterbo (Vt), Italy have published the Article: Food waste reduction and economic savings in times of crisis: The potential of machine learning methods to plan guest attendance in Swedish public catering during the Covid-19 pandemic, in the Journal: (JOURNAL) of March/18,/2020
• what: The aim of this study was therefore to assess the accuracy with which a machine_learning . . .
  

   

  

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