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Communication dans un congrès Année : 2016

Sustainable collective pest management using a Graph-based Markov Decision Processes framework

Résumé

For environmental, ecological and human health sustainability, there is a great need to limit the structural dependency of agriculture on pesticides while, at the same time, maintaining satisfactory levels of production and farmers’ gross margins. A model was developed to explore the consequences of various management policies to contain blackleg on canola, on a long term basis. This model relies on the Graph-based Markov Decision Processes (GMDP) framework, that allows representing and optimizing sequential decisions under uncertainty, taking into account interactions between fields (spore dispersal). The objective of the study is to help better enforce management practices such as cultivar choice, crop management, and soil tillage.
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Dates et versions

hal-02797263, version 1 (05-06-2020)

Identifiants

  • HAL Id : hal-02797263 , version 1
  • PRODINRA : 372621

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Jean-Noel J.-N. Aubertot, Marie-Josée Cros, Nathalie Dubois Peyrard Peyrard, Régis Sabbadin. Sustainable collective pest management using a Graph-based Markov Decision Processes framework. 8th International Congress on Environmental Modelling and Software (iEMSs 2016), Jul 2016, Toulouse, France. ⟨hal-02797263⟩
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Dernière date de mise à jour le 21/04/2024
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