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Sustainable Food Systems for the Future: Framework Analysis and Development of Scenario-Based Decision Support System
Authors: Prince Agyemang , Ebenezer Miezah-Kwofie
Identifier: CSBE21808
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » Regular Sessions
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Description: The resilience of global food systems relies on the ability of analytical frameworks to envisage considerable future occurrences and to provide insight for stakeholders to take necessary pre-emptive actions and to make strategic decisions towards potential shocks and sustainability. While many frameworks for evaluating food systems (FS) objectives exist, the challenge of making scenario-specific choices is daunting and often focuses on current food systems. In this study, the authors assess 19 food system frameworks (FSF) using Fuzzy-TOPSIS decision model; construct five future FS outlooks; and develop a decision support framework, that takes into account the contextual data of a system and allows stakeholders to select optimal framework to assess current and future FS objectives. The proposed decision support framework can offer guidance to the national and international policy community to anticipate emerging crisis and translating them into adequate practical policies and actions to build a sustainable food system. The application of the proposed SFSO-DSF has been demonstrated with a case study.
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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Agriculture and Society 3
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Type: Text.Abstract
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Publication type: Presentation
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Coverage: United States
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
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DOI:
Description: The resilience of global food systems relies on the ability of analytical frameworks to envisage considerable future occurrences and to provide insight for stakeholders to take necessary pre-emptive actions and to make strategic decisions towards potential shocks and sustainability. While many frameworks for evaluating food systems (FS) objectives exist, the challenge of making scenario-specific choices is daunting and often focuses on current food systems. In this study, the authors assess 19 food system frameworks (FSF) using Fuzzy-TOPSIS decision model; construct five future FS outlooks; and develop a decision support framework, that takes into account the contextual data of a system and allows stakeholders to select optimal framework to assess current and future FS objectives. The proposed decision support framework can offer guidance to the national and international policy community to anticipate emerging crisis and translating them into adequate practical policies and actions to build a sustainable food system. The application of the proposed SFSO-DSF has been demonstrated with a case study.
Keywords:
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2021-06-11
Technical field:
Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Agriculture and Society 3
Other information:
Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: United States
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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