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Cited article:

Full Bayesian inference in hidden Markov models of plant growth

Gautier Viaud, Yuting Chen and Paul-Henry Cournède
The Annals of Applied Statistics 16 (4) (2022)
https://doi.org/10.1214/21-AOAS1594

Insights of Global Sensitivity Analysis in Biological Models with Dependent Parameters

Julien Sainte-Marie and Paul-Henry Cournède
Journal of Agricultural, Biological and Environmental Statistics 24 (1) 92 (2019)
https://doi.org/10.1007/s13253-018-00343-1

Soft Computing: Theories and Applications

Jyoti Sihag and Divya Prakash
Advances in Intelligent Systems and Computing, Soft Computing: Theories and Applications 742 699 (2019)
https://doi.org/10.1007/978-981-13-0589-4_66

Mixed-Effects Estimation in Dynamic Models of Plant Growth for the Assessment of Inter-individual Variability

Charlotte Baey, Amélie Mathieu, Alexandra Jullien, Samis Trevezas and Paul-Henry Cournède
Journal of Agricultural, Biological and Environmental Statistics 23 (2) 208 (2018)
https://doi.org/10.1007/s13253-017-0307-4

Pattern-oriented modelling as a novel way to verify and validate functional–structural plant models: a demonstration with the annual growth module of avocado

Ming Wang, Neil White, Volker Grimm, et al.
Annals of Botany 121 (5) 941 (2018)
https://doi.org/10.1093/aob/mcx187

A new methodology based on sensitivity analysis to simplify the recalibration of functional–structural plant models in new conditions

Amélie Mathieu, Tiphaine Vidal, Alexandra Jullien, et al.
Annals of Botany 122 (3) 397 (2018)
https://doi.org/10.1093/aob/mcy080

Leaf Segmentation and Tracking in Arabidopsis thaliana Combined to an Organ-Scale Plant Model for Genotypic Differentiation

Gautier Viaud, Olivier Loudet and Paul-Henry Cournède
Frontiers in Plant Science 7 (2017)
https://doi.org/10.3389/fpls.2016.02057

Benoit Bayol, Paul-Henry Cournede, Julien Sainte-Marie, Gautier Viaud, Faustino Chi, Winfried Kurth, Qinqin Long, Johannes Merklein, Katarina Streit, Evelyne Costes, Vincent Migault, Benoit Pallas, Gerhard Buck-Sorlin, Magalie Poirier-Pocovi and Christophe Pradal
1 (2016)
https://doi.org/10.1109/FSPMA.2016.7818281

A Regularized Particle Filter EM Algorithm Based on Gaussian Randomization with an Application to Plant Growth Modeling

Yuting Chen, Samis Trevezas and Paul-Henry Cournède
Methodology and Computing in Applied Probability 17 (4) 847 (2015)
https://doi.org/10.1007/s11009-015-9440-0

Modeling spatial competition for light in plant populations with the porous medium equation

Robert Beyer, Octave Etard, Paul-Henry Cournède and Pascal Laurent-Gengoux
Journal of Mathematical Biology 70 (3) 533 (2015)
https://doi.org/10.1007/s00285-014-0763-1

SUNLAB: A functional–structural model for genotypic and phenotypic characterization of the sunflower crop

Fenni Kang, Paul-Henry Cournède, Jérémie Lecoeur and Véronique Letort
Ecological Modelling 290 21 (2014)
https://doi.org/10.1016/j.ecolmodel.2014.02.006

A comprehensive methodology of global sensitivity analysis for complex mechanistic models with an application to plant growth

Qiongli Wu and Paul-Henry Cournède
Ecological Complexity 20 219 (2014)
https://doi.org/10.1016/j.ecocom.2013.12.005

Parametrization of five classical plant growth models applied to sugar beet and comparison of their predictive capacity on root yield and total biomass

Charlotte Baey, Anne Didier, Sébastien Lemaire, Fabienne Maupas and Paul-Henry Cournède
Ecological Modelling 290 11 (2014)
https://doi.org/10.1016/j.ecolmodel.2013.11.003