C. Baey, A. Didier, S. Li, S. Lemaire, F. Maupas et al., Evaluation of the predictive capacity of five plant growth models for sugar beet, 2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, pp.30-37, 2012.
DOI : 10.1109/PMA.2012.6524809
URL : https://hal.archives-ouvertes.fr/hal-00776389

N. Brisson, C. Gary, E. Justes, R. Roche, B. Mary et al., An overview of the crop model stics, European Journal of Agronomy, vol.18, issue.3-4, pp.309-332, 2003.
DOI : 10.1016/S1161-0301(02)00110-7
URL : https://hal.archives-ouvertes.fr/hal-01190851

F. Campillo and V. Rossi, Convolution Particle Filter for Parameter Estimation in General State-Space Models, IEEE Transactions on Aerospace and Electronic Systems, vol.45, issue.3, pp.1063-1072, 2009.
DOI : 10.1109/TAES.2009.5259183

E. Carson and C. Cobelli, Modelling Methodology for Physiology and Medicine, 2001.

Y. Chen, B. Bayol, C. Loi, S. Trevezas, C. et al., Filtrage par noyaux de convolution itératif, Actes des 44émes Journèes de Statistique JDS2012, 2012.

Y. Chen and P. Cournède, Assessment of parameter uncertainty in plant growth model identification, 2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, 2012.
DOI : 10.1109/PMA.2012.6524817
URL : https://hal.archives-ouvertes.fr/hal-00776551

Y. Chen, S. Trevezas, C. , and P. , Iterative convolution particle filtering for nonlinear parameter estimation and data assimilation with application to crop yield prediction, SIAM): Control & its Applications, 2013.
DOI : 10.1137/1.9781611973273.10
URL : https://hal.archives-ouvertes.fr/hal-00826052

P. Cournède, V. Letort, A. Mathieu, M. Kang, S. Lemaire et al., Some Parameter Estimation Issues in Functional-Structural Plant Modelling, Mathematical Modelling of Natural Phenomena, vol.6, issue.2, pp.133-159, 2011.
DOI : 10.1051/mmnp/20116205

P. De-reffye, E. Heuvelink, D. Barthélémy, C. , and P. , Plant Growth Models, Ecological Models of Encyclopedia of Ecology (5 volumes), pp.2824-2837, 2008.
DOI : 10.1016/B978-008045405-4.00217-2
URL : https://hal.archives-ouvertes.fr/halsde-00341036

R. Hundt, Loop recognition in c++/java/go/scala, Proceedings of Scala Days, 2011.

S. Julier, J. Uhlmann, and H. Durrant-whyte, A new method for the nonlinear transformation of means and covariances in filters and estimators, IEEE Transactions on Automatic Control, vol.45, issue.3, pp.45477-482, 2000.
DOI : 10.1109/9.847726

L. Kocis and W. J. Whiten, Computational investigations of low-discrepancy sequences, ACM Transactions on Mathematical Software, vol.23, issue.2, pp.266-294, 1997.
DOI : 10.1145/264029.264064

M. Matsumoto and T. Nishimura, Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator, ACM Transactions on Modeling and Computer Simulation, vol.8, issue.1, pp.3-30, 1998.
DOI : 10.1145/272991.272995
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.1141

A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni et al., Global Sensitivity Analysis, 2008.

B. Stroustrup, Foundations of C++, Programming Languages and Systems, pp.1-25, 2012.
DOI : 10.1007/978-3-642-28869-2_1

S. Trevezas and P. Cournède, A Sequential Monte Carlo Approach for MLE in a Plant Growth Model, Journal of Agricultural, Biological, and Environmental Statistics, vol.12, issue.2, 2013.
DOI : 10.1007/s13253-013-0134-1
URL : https://hal.archives-ouvertes.fr/hal-00796154

R. Van-waveren, S. Groot, H. Scholten, F. Van-geer, H. Wosten et al., Good modelling practice handbook, 1999.

J. Vos, J. B. Evers, G. H. Buck-sorlin, B. Andrieu, M. Chelle et al., Functionalstructural plant modelling: a new versatile tool in crop science, Journal of Experimental Botany, issue.8, pp.612101-2115, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01132296

Q. Wu, P. Cournède, and A. Mathieu, An efficient computational method for global sensitivity analysis and its application to tree growth modelling, Reliability Engineering & System Safety, vol.107, pp.35-43, 2012.
DOI : 10.1016/j.ress.2011.07.001
URL : https://hal.archives-ouvertes.fr/hal-00639539

B. Zeigler, H. S. Song, T. G. Kim, and H. Praehofer, DEVS framework for modelling, simulation, analysis, and design of hybrid systems, In In Proceedings of HSAC, pp.529-551, 1995.
DOI : 10.1007/3-540-60472-3_27