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Chew, Y. H., Wenden, B., Fils, A., Mengin, V., Taylor, J., Davey, C. L., Tindal, C., Thomas, H., Ougham, H. J., de Reffye, P., Stitt, M., Williams, H., Muetzelfeldt, R., Haliday, K. J., Milar, A. J., 2014. Multiscale digital Arabidopsis predicts individual organ and whole-organism growth. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 111 (39) : E4127-E4136.
Feng, L. , Mailhol, J. C. , Rey, H., Griffon, S., Auclair, D., de Reffye, P., 2014. Comparing an empirical crop model with a functional structural plant model to account for individual variability. European Journal of Agronomy, 53 (1) : 16-27.
http://www.sciencedirect.com/science/article/pii/S116103011300155X
Guilhem Brunel, Philippe Borianne, Gérard Subsol, Marc Jaeger, Yves Caraglio., 2014.
Automatic Identification and Characterization of Radial File in Light Microscopic Images of
Wood. Annals of Botany, 114 (4), pp. 829-840
http://aob.oxfordjournals.org/content/early/2014/07/02/aob.mcu119.short
Wang, X. J., Mathieu, A., Cournède, P. H., de Reffye, P., 2014. Application of a probabilistic model for analysing the abortion of seeds and pods in winter oilseed rape (Brassica napus). Annals of Applied Biology, 165 (3) : 414-428
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Guilhem Brunel. Caractérisation automatique d'organisations cellulaires dans des mosaïques d'images microscopiques de bois. Application à l'identification des files cellulaires. PhD report, 2014, October, Bioinformatics. Université de Montpellier II. Sciences et Techniques du Languedoc, 2014. 84p. (French)
https://hal-audencia.archives-ouvertes.fr/AMAP/tel-01079815v1
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