Inventaire


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PESTFINDER: MODEL-BASED ESTIMATION AND CONTROL OF AGRICULTURAL INFESTATIONS THROUGH ABIOTIC CHANGES

Unité : Automatique et analyse des systèmes | ULB809



Description :


PestFinder is a project funded by the European Commission in the framework of the Marie Skłodowska Curie Postdoctoral Fellowship
actions 2022 (grant n. 101102281). The goal of PestFinder is to contribute to the ongoing “precision agriculture” revolution
by developing model-based control strategies for pest control. We firstly aim to develop models and methodologies that can guide in
an optimal way the agronomical decisions that impact pest control. To pursue this aim, we will develop and validate models able
to capture both the spatial diffusion and the temporal evolution of insects in a plantation. The focus will be then shift on how to
use these models for pest monitoring, and on the interplay between quality of the estimation and data collection, to develop
optimal data collection policies. In the last part of the project, we will use the developed results to develop model-based optimal
pest control policies.

Liste des responsables :


  • GARONE Emanuele


Liste des membres :


  • Rossini Luca


Liste des bailleurs :


  • Autres U.E.