Database/Software Article | Open Access

Volume 2023 |Article ID 0077 | https://doi.org/10.34133/plantphenomics.0077

Coupling Plant Growth Models and Pest and Disease Models: An Interaction Structure Proposal, MIMIC

Houssem E. M. Triki ,^1,2,3,4 Fabienne Ribeyre,^3,4 Fabrice Pinard,^4,5 Marc Jaeger^1,2

¹CIRAD, UMR AMAP, F-34398 Montpellier, France
²AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
³CIRAD, UMR PHIM, F-34398 Montpellier, France
⁴PHIM, University of Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
⁵CIRAD, UMR PHIM, 00100 Nairobi, Kenya

Abstract

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.