Modeling the plant world

Scientific objective

To develop methods and tools to study and model complex systems in the plant world.


Our research builds on the expertise of our group in database development, image analysis, software engineering, applied mathematics and modeling. This wide range of skills means we are able to develop original tools and methods not only to acquire knowledge and to analyze data, but also to represent and characterize complex biological processes in the plant world using either mathematical formalisms or numerical tools. .
There are many challenges including (i) accounting for multiple spatial and temporal scales when modeling original biological questions, (ii) analyzing and simulating multiscale models to provide decision support tools, particularly in the context of disturbance scenarios (human activities, climate change, etc.), (iii) representing and characterizing structures of interest (for instance by image analysis) and (iv) acquiring, managing and analyzing massive data.
Our research is guided by questions of plant biologists, agronomists, foresters and ecologists, but we also conduct original research in applied mathematics and computer science.

Expected results

We expect to (i) develop models, methods and tools to help understand the growth and development of plants (from the individual plant to the scale of the population), plant-environment interactions and functioning of ecosystems; (ii) provide tools to acquire, manage and analyze data; (iii) provide tools to evaluate/predict/optimize services (indicators, tools for identification, decision support, etc.), (iv) to assist biologists/ecologists with the design of novel experiments/observations to validate/invalidate the models.

Related themes