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Enhancing circular urban food systems through industrial symbiosis powered by blockchain and AI
Author(s):
1. Ayesha Hakim: Department of Computer Science, MNSUA, Multan, Pakistan
2. Sundus Shafique: Department of Computer Science, MNSUA, Multan, Pakistan
Abstract:
Circular urban food systems aim to optimize resource utilization, reduce waste, and promote sustainability. This paper proposes the integration of industrial symbiosis principles with blockchain and artificial intelligence (AI) technologies to enhance circular urban food systems. By leveraging blockchain's decentralized and transparent ledger, resource transactions and data records can be securely stored and validated, ensuring trust and transparency among participants. AI algorithms analyze data from various sources, including blockchain records, environmental sensors, and market trends, enabling data-driven decision-making, resource allocation optimization, and demand forecasting. This integrated approach enables resource matching, automates agreements through smart contracts, tracks resource flows in real- time, and facilitates efficient monitoring and evaluation. Additionally, the combination of industrial symbiosis, blockchain, and AI technologies promotes sustainable practices, resource efficiency, and waste reduction in urban food systems. However, the successful implementation of this integration requires addressing challenges related to interoperability, data privacy, standardization, and infrastructure development. This paper highlights the potential of this integrated approach to transform circular urban food systems, revolutionizing how resources are managed and promoting a sustainable and resilient future.
Page(s): 86-86
DOI: DOI not available
Published: Journal: Abstract Book on International Conference on Food and Applied Sciences (ICFAS-23) 3-5 August 23, Volume: 0, Issue: 0, Year: 2023
Keywords:
Circular economy , Artificial Intelligence , Blockchain technology , sustainable urban food systems , industrial symbiosis , resource optimization
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