Bonjour à tous,

Vous êtes tous et toutes cordialement invité.es à assister à la présentation de projet du prédoc III de Pascal
Archambault, le 3 septembre à 9h30. La présentation sera en anglais.

Titre : A Data-Driven Digital Twin Framework For Controlled Environment Agriculture

Date: mercredi 3 septembre à 9h30

Location: Pavillon André-Aisenstadt, salle 3195, 2920 Ch. de la tour

Jury

Résumé

Digital twins are virtual representations of a real-world system (physical twin). By using real-time data produced by the physical twin, simulation models are continuously adapted to capture the behavior of the twin, and provide tools for decision-support. In the context of controlled environment agriculture, crop data is hard to collect and makes the calibration of simulation models difficult. On the other hand, data is scarce and can seldom be used for data-driven methods that enable system representation or inference. The goal of this thesis is to enable digital twins of controlled environment agriculture to be actionable for prescription. We propose a data-driven digital twin framework to monitor the dynamics and structure of the crop, generate plausible data in a data-scarce scenario, and infer simulator models in lieu of hard to calibrate, or even non-existent, mechanistic crop models. We believe our data-driven digital twin framework has the potential to become a general framework for controlled environment agriculture.