Simulation of carbon-based model for virtual plants as complex adaptive system

Research on the application of 3D visualization and virtual reality (VR) in discrete-event simulation (DES) has received increased attention in the past two decades. The increasing popularity of the 3D display in DES is mainly due to superior display capabilities and the associated benefits that it offers. However, the 2D display also continues to enjoy active use to date, thus provoking some fierce debates questioning the need for the 3D and VR if the 2D interface suffices. Several studies comparing the effectiveness of the different visualization methods also produce different conclusions. This paper undertakes a meta-analysis of the different positions and synthesizes the findings from 162 studies on the impacts of the 2D display versus 3D/VR on user performance on various DES tasks. The results highlight four key findings. First, the perception that the 2D display is more effective for model development is misleading as 3D/VR offers overall better performance and quality of models. Second, 3D/VR enables more effective performance than 2D display for model verification and validation. Third, 3D/VR decreases the time taken for verification, validation, experimentation, and analysis of results, but can increase model development time. Finally, the latent variables such as the application domains and nature of the problems tackled have no direct or indirect influence on the efficacy of the 3D display/VR versus 2D on DES task performance.

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“…Qu et al 18 Kim et al 74 Nandan et al 107 3D dynamic construction visualizer offers realistic feedback from simulation.…”

Section: D Helps To Experiments Different Construction Methods In Whamentioning

confidence: 99%

“…Bruzzone et al 54 Farooq et al 64 Murphy and Perera 83 Otamendi et al 32 Rodriguez et al 87 Qu et al 18 6…”

Section: Modelling Practice and Theorymentioning

confidence: 99%

A comparative evaluation of the effectiveness of virtual reality, 3D visualization and 2D visual interactive simulation: an exploratory meta-analysis

Akpan

Shanker

2018

SIMULATION

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“…While the 3D scene was generated from the L-system for simulating the eggplant growth. 37 In the algorithm described above, the parallel primitives (e.g., scan, maximum, matrix multiplication) and the code fragments marked by in parallel are GPU code; others are CPU code. We also need to specify the number of work items per block and the number of elements per work item for deriving, interpreting covered in the code fragments marked by in parallel.…”

Section: Resultsmentioning

confidence: 99%

Geometry Generation with L-Systems on Graphics Processing Units

Zhang¹,

Zhu²,

Liu³

et al. 2014

Jnl of Comp & Theo Nano

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In the last decade, the formalism of L-systems has emerged as a major paradigm for graphic modeling. Previous implementations of this formalism based on CPU involve massive computing as well as a great amount of data transfer between CPU and GPU memory which restricts their efficiency. In this work, we present a parallel framework to compute L-systems entirely based on the generalpurpose computing on graphics processing units (GPGPU). The advantages of our approach are crucial: (i) the redefinition of L-system and the new data structures make the evolution work well on arbitrary L-systems; (ii) the turtle interpretation algorithm is available for the L-systems whether they are in branching hierarchy or not; (iii) placing the geometry generation load on GPU kernel and sharing data between GPU kernel and shader not only speed up the computing but also avoid data transferring overheads between CPU and GPU memory. The results of the parallel mechanism on several applications depict that our algorithms achieve better performances, especially the generation of L-systems in 3 dimensions.

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“…20 Nevertheless, these proposed methods induce a high computational complexity when the canopy structure is described by a large set of elements. 21 To accelerate the simulations, we present a simpler approach which is similar to the method proposed by Qu 22 shown as Figure 2.…”

Section: Coupling Water Status With Flux Modelsmentioning

confidence: 99%

“…Then morphological parameters of organ (e.g., length, width, radius) can be calculated using Qu's method too. 22 Hydrotropism is one kind of trajectory for root in response to soil water graded distribution. In the paper, we model hydrotropism using space colonization algorithms.…”

Section: Plasticitymentioning

confidence: 99%

Using L-Systems for Simulating Virtual Plant Plasticity Related to Water Status

Zhu¹,

Song-yang²,

Liu³

et al. 2013

j comput theor nanosci

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In the paper, we present a simulation approach of virtual plants that includes shoot and root parts and integrates the knowledge of plant physiological processes and morphological plasticity related to water status. L-Systems are used to model plant architecture. A simple xylem model based on an electrical circuit analogy is proposed to estimate water potentials of plant organs. A soil model matching xylem model is used to simulate soil water flow and prepare for root soil interaction. Plant plasticity is linked with water potentials simulated by the xylem circuit in three ways: through their influence on leaf carbon assimilation, transpiration and individual organ growth. Specially, root plasticity (hydrotropism) is analyzed based on the proposed soil model. The maize based simulation results show that the model is able to simulate both water status over time and the effect of different irrigation treatments on maize development and growth. These results show that the proposed model can be useful tool to study knowledge of plant's responses to different water situations.

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Simulation of carbon-based model for virtual plants as complex adaptive system

Cited by 12 publications

References 60 publications

A comparative evaluation of the effectiveness of virtual reality, 3D visualization and 2D visual interactive simulation: an exploratory meta-analysis

A comparative evaluation of the effectiveness of virtual reality, 3D visualization and 2D visual interactive simulation: an exploratory meta-analysis

Geometry Generation with L-Systems on Graphics Processing Units

Using L-Systems for Simulating Virtual Plant Plasticity Related to Water Status

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