The Winter Wheat Dynamic Model, a toy model to illustrate the main multisensi methods
biomasse(input, climdata, annee = 3)vector of input values.
year.
a meteorological data.frame specific to biomasse.
a vector of daily dry matter increase of the Winter Wheat biomass, over 223 days
The Winter Wheat Dry Matter model (WWDM) is a dynamic crop model
running at a daily time step (Makowski et al, 2004). It has two state
variables, the above-ground winter wheat dry matter \(U(t)\), in \(g/m^2\)
and the leaf area index LAI(\(t\)) with \(t\) the day number from sowing
(\(t=1\)) to harvest (\(t=223\)). In the multisensi package implementation, the
biomasse function simulates the output for only one parameter set (the
first row of input if it is a matrix or a data.frame).
Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004 Bayesian methods for updating crop model predictions, applications for predicting biomass and grain protein content. In: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain (van Boeakel et al. eds), pp. 57-68. Kluwer, Dordrecht
Monod, H., Naud, C., Makowski, D., 2006 Uncertainty and sensitivity analysis for crop models. In: Working with Dynamic Crop Models (Wallach D., Makowski D. and Jones J. eds), pp. 55-100. Elsevier, Amsterdam