The L+C Plant-Modelling Language

Prusinkiewicz, Przemysław; Karwowski, Radoslaw; Lane, Brendan

doi:10.1007/1-4020-6034-3_3

Cited by 43 publications

(12 citation statements)

References 16 publications

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“…The model is then applied step by step to simulate geometrical and topological plant development. During the last 20 years, several implementations of L-systems have been designed: cpfg ( Prusinkiewicz and Lindenmayer, 1990 ), L+C ( Prusinkiewicz et al, 2007 ), XL ( Hemmerling et al, 2008 ) and L-Py ( Boudon et al, 2012 ), among others. Each L-System language provides a dedicated modeling language that mixes classical programming languages (e.g., C, C++, Java, Python) with mathematical notation based on formal language theory.…”

Section: Ontologies For Plant Morphologymentioning

confidence: 99%

Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology

et al. 2017

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An emerging challenge in plant biology is to develop qualitative and quantitative measures to describe the appearance of plants through the integration of mathematics and biology. A major hurdle in developing these metrics is finding common terminology across fields. In this review, we define approaches for analyzing plant geometry, topology, and shape, and provide examples for how these terms have been and can be applied to plants. In leaf morphological quantifications both geometry and shape have been used to gain insight into leaf function and evolution. For the analysis of cell growth and expansion, we highlight the utility of geometric descriptors for understanding sepal and hypocotyl development. For branched structures, we describe how topology has been applied to quantify root system architecture to lend insight into root function. Lastly, we discuss the importance of using morphological descriptors in ecology to assess how communities interact, function, and respond within different environments. This review aims to provide a basic description of the mathematical principles underlying morphological quantifications.

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Section: Ontologies For Plant Morphologymentioning

confidence: 99%

Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology

et al. 2017

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“…Like the most of the modeling platforms [6,7], the growth rules from the code are parsed, and then functions of physiology are executed. Environmental model is able to simulate the processes of interaction between environmental factors and plant model.…”

Section: Overall Designmentioning

confidence: 99%

“…The process of nitrogen consumption is thus calculated using the following equation: 0 . 10 ass N C  (6) where, ass represents the assimilate production, and N c is consumed nitrogen.…”

Section: Modeling Of Nitrogen Metabolismmentioning

confidence: 99%

“…Typical cases are L-studio [6] D DAVID PUBLISHING developed by scientists in the University of Calgary, and GroIMP [7], in which an eXtended L-system language (XL) is used. L-studio includes two embedded L-system based simulators, i.e., one as a fractal generator with continuous parameters with the foundation of L-system, and the other as a modeling program that the models are developed using L + C modeling language which adds L-system specific constructors to C++ programming language.…”

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confidence: 99%

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A Functional-Structural Model of Rice Seedling Coupled with Nitrogen Metabolism

Yusang¹,

Xu²,

Ding³

et al. 2014

JAST-B

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Abstract:With the ability of representing the association and inner-feedback between plant morphological structure and physiological functions, functional-structural plant modeling (FSPM) approach has been used in many works, trying to better understand the mechanisms of integrating plant functions and its structure, and their communication with environmental factors. To do so, an FSPM of rice seedling was developed in this study, including structural morphogenetic model, photosynthetic model and biomass partitioning module. It can thus describe the developmental course of the rice structure dynamically based on the processes of biomass producing and partitioning. Furthermore, the processes of nitrogen metabolism, which influence the N content and growth dynamics of the virtual rice, were also considered. The model was developed with L-system on a platform established with Java programming language, which took over the parsing and visualization of the L-system strings to 3D objects using Java 3D extended library. The physiological processes in the model can be modified and further improved to gradually meet the needs for modeling the whole life cycle of rice, e.g., considering the respiration, and interaction with other environmental factors like CO 2 , temperature, etc.. The model was developed to provide a platform to systematically study and understand how plant systems like rice seedling work. The model and the virtualization platform can be expanded to provide decision support on N fertilizer application for the rice seedling and the other crops.

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“…In a recent version of LStudio/VLab, Karwowski and Prusinkiewicz changed the original cpfg language for a compiled language, L+C, built on the top of the C++ programming language. The resulting gain of expressiveness facilitates the specification of complex plant models in L+C [19]. An alternative implementation of a L-system-based software for plant modeling was designed by W. Kurth [20] in the context of forestry applications.…”

Section: Introductionmentioning

confidence: 99%

PlantGL: A Python-based geometric library for 3D plant modelling at different scales

et al. 2009

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In this paper, we present PlantGL, an open-source graphic toolkit for the creation, simulation and analysis of 3D virtual plants. This C++ geometric library is embedded in the Python language which makes it a powerful user-interactive platform for plant modeling in various biological application domains.PlantGL makes it possible to build and manipulate geometric models of plants or plant parts, ranging from tissues and organs to plant populations. Based on a scene graph augmented with primitives dedicated to plant representation, several methods are provided to create plant architectures from either field measurements or procedural algorithms. Because they are particularly useful in plant design and analysis, special attention has been paid to the definition and use of branching system envelopes. Several examples from different modelling applications illustrate how PlantGL can be used to construct, analyse or manipulate geometric models at different scales ranging from tissues to plant communities.

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The L+C Plant-Modelling Language

Cited by 43 publications

References 16 publications

Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology

Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology

A Functional-Structural Model of Rice Seedling Coupled with Nitrogen Metabolism

PlantGL: A Python-based geometric library for 3D plant modelling at different scales

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