GreenScilab is a Scilab(c) toolbox simulating plant growth and
architecture based on the GreenLab model (De Reffye and Hu, 2003).
This type of model combining the description of both plant functional
growth and architectural development is receiving more and more
attention for applications in agriculture, forestry, ecology or
computer graphics (De Reffye et al., 2008). Most models are purely
simulation-based and rely on very heavy computations: the
morphogenesis and functioning of each organ is simulated.
The simulation times are quickly prohibitive and make such
models ill-adapted to calibration from experimental data or to
solve optimization problems.
In this context, GreenLab's originality is its mathematical
formulation as a discrete dynamic system based on the structural
factorization of the growth grammar (Cournède et al., 2006), in
order to take advantage of the numerous similarities and
repetitions in plants. Scilab provides a free, efficient and
easy-to-use environment to implement the dynamic equations of
plant growth.
GreenScilab
is thus born,
being the first open-source software that fulfills model simulation
and calibration. It can simulate different botanical plant architectures,
plant growth processes, the effects of climate conditions on plant
growth, and calibrate the model from experimental data on real plants.
A graphical user interface is developed using TCL/TK to facilitate
model I/O. Some functions are written in C to speed up simulation.
References:
De Reffye P, Hu BG, 2003. Relevant qualitative and
quantitative choices for building an efficient dynamic
plant growth model: GreenLab case. In Hu BG, Jaeger M (Eds),
Plant growth modelling and applications (PMA03),
Proceedings of the 2003' International Symposium on
Plant Growth Modeling, Simulation, Visualization and
Their ApplicationsTsinghua University Press, Springer;
pp. 87-107.
De Reffye P, Heuvelink E, Barthélémy D, Cournède PH, 2008.
Plant growth models. In: Jorgensen S, Fath B (Eds.),
Ecological Models, Vol. 4 of Encyclopedia of Ecology
(5 volumes), Elsevier (Oxford), pp. 2824–2837.
Cournède PH, Kang MZ, Mathieu A, Barzci JF, Yan HP, Hu BG,
De Reffye P, 2006. Structural factorization of plants to
compute their functional and architectural growth.
/Simulation /82(7): 427-438.