Development of a model composting process for food waste in an island community and use of machine learning models to predict its performance

HIGHLIGHTS

• What: This work proposes a comprehensive inter-disciplinary framework to guide policy makers, planners, and other stakeholders in estimating the potential of decentralized food waste composting processes. It is clear that the Decision Tree Regressor and the K-neighbors Regressor are the best model as far as predictability is concerned.
• Who: Gerasimos Lyberatos from the EU EUNational Technical University of Athens: Ethniko Metsobio Polytechneio have published the Article: Development of a model composting process for food waste in an island community and use of machine learning models to predict its performance, in the Journal: (JOURNAL . . .
  

   

  

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