AI-Enhanced Systems Modeling and Policy Design for Circular Economy Transition in Agri-Food Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Agriculture".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 233
Editors
Interests: AI for circular economy; agri-food systems modeling; digital twins; policy informatics; food waste valorization; system dynamics; sustainable supply chains; machine learning; resource optimization; evidence-based policy
Interests: blockchain in agri-food systems and supply chains; digital twins for agri-food systems; supply chain traceability and security; sustainable agriculture; iot-enabled agri-food networks; AI-enabled distributed systems; edge and fog computing; intelligent resource optimization; digital infrastructure for agri-food systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The transition to a Circular Economy (CE) within agri-food systems is a fundamental requirement for securing global food security and ensuring the long-term sustainability of our natural and economic resources. As these systems face increasing pressure from climate volatility and socio-economic shifts, there is an urgent need for frameworks that translate complex data into actionable sustainability strategies. This Special Issue invites research that explores the intersection of circularity, systemic resilience, and data-driven governance in the agri-food sector.
We are particularly interested in submissions focusing on two core areas:
- Systemic Resilience and Sustainable Resource Management: Research examining how agri-food systems can be structured to minimize waste and withstand systemic shocks. We encourage studies that assess the socio-economic impacts of circular strategies and provide practical pathways for enhancing food system stability and environmental health.
- Evidence-Based Policy and Knowledge Governance: Contributions that explore the role of advanced data synthesis in bridging the gap between complex sustainability regulations and local implementation. This includes the use of novel digital tools to streamline knowledge retrieval, helping policymakers and stakeholders design more effective and contextualized circular economy interventions.
By focusing on these practical outcomes, this Special Issue aims to provide a comprehensive overview of how data-aided research can drive the global transition toward more resilient and sustainable agri-food systems.
We look forward to receiving your contributions.
Dr. Ujjwal KC
Dr. Sudheer Kumar Battula
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- circular economy (CE)
- agri-food systems
- food system resilience
- data-driven policy
- generative AI (GAI)
- large language models (LLMs)
- computational modeling
- policy optimization
- Bayesian analysis
- machine learning (ML)
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