Aside the classic process-based crop models and individual structural Plant models, GreenLab displays an original positioning.

This section presents GreenLab's principles and positioning.


GreenLab is a mathematical dynamic model aiming to model and simulate plant structure establishment and production.

It differs from computational models by the fact that both development and functional processes are described by equations.
The model therefore quantifies structure (the number of organs, etc.) without requiring exhaustive structural implementation.

It also differs from classic functional structural plant models by the fact that organ production is quantified by compartments, competing for a common biomass pool.
It also differs from biomass production based on the Beer Lambert Law, conventionally used in PBM.

In a growth cycle, the model sequences organogenesis, biomass production and its partitioning in a dynamic loop.

Around the world, researchers have developed various implementations of this model, allowing deterministic or stochastic simulations, with more or less detailed implementation of structural aspects or functional aspects.
Specific developments are also based on model inversion (parameter identification and estimation) and on applications.

The aim of this course is to enable students to:


• Understand the positioning of the GreenLab model between PBM and FSPM, along with its Pros and Cons


• Assimilate GreenLab's assumptions and principals


• Acquire an overview of GreenLab implementations