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Knowledge Elicitation and Modeling of Agroecological Management Strategies

In: Information and Communication Technologies for Agriculture—Theme III: Decision

Author

Listed:
  • Roger Martin-Clouaire

    (INRAE, UR875 Mathématiques et Informatique Appliquées Toulouse)

Abstract

Agroecology applies ecological principles to the design and management of agricultural systems to improve environmental outcomes and livelihoods for farmers. However, little research to date has focused on cognitive tools that can facilitate the exploration, design, and increased adoption of agroecological management practices. This chapter is a preliminary attempt to develop guidelines to describe and bring to light the management behavior of farmers engaged in a participatory project of agroecological system design. Management strategies are explicitly defined using key decision-relevant concepts of activity, resource, goal, plan, and preference. These declarative structures make it possible to perform simulation-based experimentation of operational decision-making at farm scale. The modeling framework facilitates the collective development and analysis of new management strategies in the face of knowledge gaps about the likely results of these strategies (especially highly innovative ones) and uncertainties about uncontrollable factors (weather in particular). Used in participatory workshops the presented approach supports learning, sharing, and dissemination of agroecological knowledge.

Suggested Citation

  • Roger Martin-Clouaire, 2022. "Knowledge Elicitation and Modeling of Agroecological Management Strategies," Springer Optimization and Its Applications, in: Dionysis D. Bochtis & Claus Grøn Sørensen & Spyros Fountas & Vasileios Moysiadis & Panos M. Pardalos (ed.), Information and Communication Technologies for Agriculture—Theme III: Decision, pages 279-295, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-84152-2_14
    DOI: 10.1007/978-3-030-84152-2_14
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