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A Dynamic Data Driven Application System to Manage Urban Agricultural Ecosystems in Smart Cities

Adam Ghandar,G. Theodoropoulos,Bowen Zheng,Shijie Chen,Yue Gong,Miner Zhong

Published 2018 in International Conference on Universal Village

ABSTRACT

The world is currently facing significant challenges in feeding a growing population with declining resources. Urban agriculture and vertical farming have the potential to provide a revolutionary new food supply and distribution network capable of feeding large populations in the 21st Century; as well as increase quality and reduce negative impacts on the natural environment. The concept has attracted a lot of attention from governments and business throughout the world recently. This paper describes a framework for applying technologies from Agent Based Models, Simulation and Computational Intelligence to analyze, optimize and manage “ecosystems” for urban agriculture and vertical farming for food production from the perspective of stakeholders including consumers, producers, and policy makers.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    International Conference on Universal Village

  • Publication date

    2018-10-01

  • Fields of study

    Agricultural and Food Sciences, Computer Science, Engineering, Business, Environmental Science

  • Identifiers
    DOI 10.1109/UV.2018.8642114
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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