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Information systems and computational methods for decision support in agricultural and food policies: A worst-case scenario in the wheat-to-bread chain

Authors: Thomopoulos, Rallou; Bakalis, Serafim;

Information systems and computational methods for decision support in agricultural and food policies: A worst-case scenario in the wheat-to-bread chain

Abstract

In the proposed paper, data and expertise were collected to provide information and arguments about several issues: about the main criteria of good bread in terms of environmental, nutritional, sensory and sanitary aspects; then, about ways to achieve them in the wheat-to-bread chain, while maintaining affordable prices. Computation for determining the best compromise between the various desired criteria is a challenge, since not all of them are compatible. Several scenarios are explored to highlight tensions between desired criteria, problem formulation and solution analysis such as best- and worst-case scenarios. Hence the approach demonstrates the interest of information systems and computational methods for decision support in agricultural and food policies.

Country
France
Keywords

bread, filière céréale, modeling, Intelligence artificielle, simulation, information systems, sustainability, computational technologies for agri-food chains, food policy, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], blé, Artificial Intelligence, multi-criteria analysis, wheat, agricultural policy, pain, [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI], agri-food chain, outil d'aide à la décision

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green