A three-step data assimilation approach is proposed in this paper to enhance crop model
predictive capacity in various environmental conditions. The most influential parameters are …

Mathematical models of plant growth are generally characterized by a large number of
interacting processes, a large number of model parameters and costly experimental data …

For the parametric identification of plant growth models, we generally face limited or uneven
experimental data, and complex nonlinear dynamics. Both aspects make model …

Afin de prévoir les rendements ou réduire la consommation d'intrants nous pouvons, en
exploitant les données expérimentales, créer des modèles mathématiques afin de simuler la …

The complexity of plant growth models and the scarcity of experimental data make the
application of conventional data assimilation techniques rather difficult. In this paper, we use …

A computational formalism is presented that structures a C++ library which aims at the
modelling, simulation and statistical analysis of stochastic non-linear discrete dynamical …

Un processus aléatoire Xn en général n'est pas obsérvé d'autant plus qu'il est entaché de
bruit aléatoire. Un signal Yn obsérvable contient Xn sous une forme explicitée par une …

A computational formalism is presented that structures a C++ library which aims at the
modelling, simulation and statistical analysis of stochastic non-linear discrete dynamical …