Agritrop
Accueil

Coupling plant growth models and pest and disease models: An interaction structure proposal, MIMIC

Triki Houssem, Ribeyre Fabienne, Pinard Fabrice, Jaeger Marc. 2023. Coupling plant growth models and pest and disease models: An interaction structure proposal, MIMIC. Plant Phenomics, 5:0077, 15 p.

Article de revue ; Autre type d'article ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Prévisualisation
Version publiée - Anglais
Sous licence Licence Creative Commons.
plantphenomics.0077.pdf

Télécharger (1MB) | Prévisualisation

Résumé : Coupling plant growth model with pests and diseases (P&D) models, with consideration for the long-term feedback that occurs after the interaction, is still a challenging task nowadays. While a number of studies have examined various methodologies, none of them provides a generic frame able to host existing models and their codes without updating deeply their architecture. We developed MIMIC (Mediation Interface for Model Inner Coupling), an open-access framework/tool for this objective. MIMIC allows to couple plant growth and P&D models in a variety of ways. Users can experiment with various interaction configurations, ranging from a weak coupling that is mediated by the direct exchange of inputs and outputs between models to an advanced coupling that utilizes a third-party tool if the models' data or operating cycles do not align. The users decide how the interactions operate, and the platform offers powerful tools to design key features of the interactions, mobilizing metaprogramming techniques. The proposed framework is demonstrated, implementing coffee berry borers' attacks on Coffea arabica fruits. Observations conducted in a field in Sumatra (Indonesia) assess the coupled interaction model. Finally, we highlight the user-centric implementation characteristics of MIMIC, as a practical and convenient tool that requires minimal coding knowledge to use.

Mots-clés Agrovoc : Coffea arabica, modèle de simulation, ravageur des plantes, modèle mathématique, Coffea, modèle végétal, maladie des plantes

Mots-clés géographiques Agrovoc : Sumatra, Indonésie

Mots-clés libres : Software, Modelisation, Coffea, Coffee berry borer

Classification Agris : F62 - Physiologie végétale - Croissance et développement
H10 - Ravageurs des plantes
H20 - Maladies des plantes
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Agences de financement européennes : European Commission

Agences de financement hors UE : Agence Nationale de la Recherche

Projets sur financement : (EU) Development Smart Innovation through Research in Agriculture, (FRA) Institut Convergences en Agriculture Numérique

Auteurs et affiliations

Source : Cirad-Agritrop (https://agritrop.cirad.fr/606439/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-12-17 ]