Data assimilation to reduce uncertainty of crop model prediction with Convolution Particle Filtering

Author:

Chen Yuting,Cournède Paul-Henry

Publisher

Elsevier BV

Subject

Ecological Modelling

Reference66 articles.

1. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking;Arulampalam,2002

2. Parameterization of five classical plant growth models applied to sugar beet and comparison of their predictive capacity on root yield and total biomass;Baey;Ecological Modelling,2013

3. Nema, a functional–structural model of n economy within wheat culms after flowering: I. Model description;Bertheloot;Annals of Botany,2011

4. Linking physical remote sensing models with crop growth simulation models, applied for sugar beet;Bouman;International Journal of Remote Sensing,1992

5. An overview of the crop model STICS;Brisson;European Journal of Agronomy,2003

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