Info-Symbiotic systems and Agent-based Simulation for Smart Urban Agriculture




There are many pressures on the global food system such as urbanization, climate change, and environmental degradation. Urban agriculture is an approach to producing food inside cities where, globally, more than half the worlds population live. It has been shown to have a range of potential benefits, for instance in reducing waste and logistics costs. Increased uptake of urban farming can even relieve pressure on the natural environment by reducing the burden of production required from farmland by creating space for it to recover from accumulated damage as a result of the use of unsustainable farming practices historically.

This project investigates decision support systems suitable for urban farming production based on the concept of DDDAS and agent-based modelling.

    

Collaborators

Awards

Publications

  • A. Ghandar, A. Ahmed, S. Zulfiqar, Z. Hua, M. Hanai, G. Theodoropoulos, "A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics," in IEEE Access, vol. 9, pp. 35691-35708, 2021, doi: 10.1109/ACCESS.2021.3061
  • Adam Ghandar, Ayyaz Ahmed, Shahid Zulqar, Yang Chen, Masatoshi Hanai, Georgios Theodoropoulos, “Digital Twin Technology for Aquaponics: Towards Optimizing Food Production With Dynamic Data Driven Application Systems”, 19th Asia Simulation Conference, 30 October - 1 November 2019, Singapore. DOI Bookmark: doi.org/10.1007/978-981-15-1078-6_1  Best Paper Award
  • Adam Ghandar, Georgios Theodoropoulos, Zhong Miner,   Bowen Zhen, Shijie Che, Yue Gong, Ayyaz Ahmed, “An Agent-Based Modelling Framework For Urban Agriculture”, 2019 Winter Simulation Conference, National Harbor, Maryland, December 8-11, 2019, DOI Bookmark: 10.1109/WSC40007.2019.9004854 


  



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