New rule-based modelling methods for radiation and object avoidance in virtual plant canopies

G.H. Buck-Sorlin, R. Hemmerling, O. Kniemeyer, B.S. Burema, W. Kurth

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

As an extension of the L-system formalism, relational growth grammars (RGG) can be expressed in the programming language XL, allowing for a transparent specification of structural botanical rules, dependency on the environment and process-based models, all in the same framework. We demonstrate this at simple models for growth under the constraints of object avoidance and sensitivity to radiation
Original languageEnglish
Title of host publicationPlant Growth Modeling and Applications: Second International Symposium on Plant Growth Modeling, Simulation, Visualisation and Application, Beijing, China, November 13-17, 2006
EditorsTh. Fourcaud, X.P. Zhang
Place of PublicationLos Alamitos
PublisherIEEE
Pages22-25
ISBN (Print)9780769528519
Publication statusPublished - 2007
EventSecond International Symposium on Plant Growth Modeling, Simulation, Visualisation and Application -
Duration: 13 Nov 200617 Nov 2006

Conference

ConferenceSecond International Symposium on Plant Growth Modeling, Simulation, Visualisation and Application
Period13/11/0617/11/06

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  • Cite this

    Buck-Sorlin, G. H., Hemmerling, R., Kniemeyer, O., Burema, B. S., & Kurth, W. (2007). New rule-based modelling methods for radiation and object avoidance in virtual plant canopies. In T. Fourcaud, & X. P. Zhang (Eds.), Plant Growth Modeling and Applications: Second International Symposium on Plant Growth Modeling, Simulation, Visualisation and Application, Beijing, China, November 13-17, 2006 (pp. 22-25). IEEE.