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

Kandemir, C., Reynolds, C. orcid.org/0000-0002-1073-7394, Verma, M. et al. (7 more authors) (2020) Modelling approaches to food waste : discrete event simulation; machine learning; Bayesian networks; agent-based modelling; and mass balance estimation. In: Reynolds, C., Soma, T., Spring, C. and Lazell, J., (eds.) Routledge Handbook of Food Waste. Routledge (Taylor & Francis) . ISBN 9780429462795

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Copyright, Publisher and Additional Information: © 2020 The Authors. This is an author-produced version of a chapter subsequently published in Routledge Handbook of Food Waste. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published (online): 13 January 2020
  • Published: January 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Geography (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 24 Feb 2020 14:45
Last Modified: 08 Feb 2021 08:50
Status: Published
Publisher: Routledge (Taylor & Francis)
Refereed: Yes
Identification Number: https://doi.org/10.4324/9780429462795-25

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