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Last update: May 2021

Menu Logo Principal MicMac-Design Partners

MicMac Design Project

MicMac-Design Project

WP6.2: Design and software implementation of crop management plans and cropping systems and mathematical optimisation of strategies

Decision models represent human decisions for the different management operations applied to agrosystems.

This type of model links the current state of the biophysical system, the action performed by the farmer, the available resources and constraints, and the objectives of the farmer.

Various types of decision models have already been developed. However, these models have to be adapted to the specific objectives of the MicMac project and the constraints of the RECORD platform. These decision models are essential in order to define optimal management strategies by simulation.

The first goal of this task is to propose a management model that puts decision making aspects on an equal foot with biophysical aspects. It will be a dynamic model whose objective will be to model real management practices more accurately than the usual very simple rule-based procedures.

The second objective of this task is to propose and test different methods for improving crop management systems by simulation. Different methods will be appropriate depending on the complexity of the models under consideration (biophysical, decisional, epidemiological sensu lato) and the characteristics of the optimal strategies (constraints and goals).

• The first phase of the work will be to review the advantages and disadvantages of the different methods.

• A second phase will consist in evaluating some of these methods: i) required time to run the optimisation process; ii) multi-criteria optimisation possibilities; iii) step-by-step or one-in-a-go methods. This phase will be conducted in close collaboration with the different modellers of the project.

• Some of the selected methods will be embedded within the RECORD platform. This phase will strongly interact with WP1 and WP5.

• The design of virtual experiments will be part of this sub-task.

The partners taking part in this task are BIA and AGIR units (INRA Toulouse).