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Modelling approaches to food waste: Discrete event simulation; machine learning; Bayesian networks; agent-based modelling; and mass balance estimation

  • C. Kandemier
  • , C. Reynolds
  • , M. Verma
  • , M. Grainger
  • , G. Stewart
  • , S. Righi
  • , S. Piras
  • , M. Setti
  • , M. Vittuari
  • , T. Quested
  • University of Sheffield
  • Wageningen University & Research
  • Norwegian Institute for Nature Research
  • Newcastle University
  • University College London
  • University of Bologna
  • Not Recorded

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original languageEnglish
Title of host publicationReynolds, C., Soma, T., Spring, C. & Lazell, J. (eds.) Routledge Handbook of Food Waste
Pages326-343
DOIs
Publication statusPublished - 2020

Keywords

  • Agent-based models
  • Bayesian Belief Networks (BBN)
  • Food waste
  • Methodology
  • Modelling approaches

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