Advertisement

INTELLIGENT GROWTH AUTOMATON OF VIRTUAL PLANT BASED ON PHYSIOLOGICAL ENGINE

  • Qingsheng Zhu
  • Mingwei Guo
  • Hongchun Qu
  • Qingqing Deng
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 294)

Abstract

In this paper, a novel intelligent growth automaton of virtual plant is proposed. Initially, this intelligent growth automaton analyzes the branching pattern which is controlled by genes and then builds plant; moreover, it stores the information of plant growth, provides the interface between virtual plant and environment, and controls the growth and development of plant on the basis of environment and the function of plant organs. This intelligent growth automaton can simulate that the plant growth is controlled by genetic information system, and the information of environment and the function of plant organs. The experimental results show that the intelligent growth automaton can simulate the growth of plant conveniently and vividly.

Keywords

Transfer Matrix Growth Cycle Growth Unit Child State Hash Chain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. F Blaise, J F Barczi, M Jaeger, P Dinouard, P De Reffye. Simulation of the growth of plants modeling of metamorphosis and spatial interactions in the architecture and development of plants. Cyberworlds, Tokyo: Springer-Verlag, 1998, 81–109Google Scholar
  2. Hongchun Qu ,Qingsheng Zhu ,Qingqing Deng et al .Modelling and Constructing of Intelligent Physiological Engine Merging Artificial Life for Virtual Plants. Journal of Computational and Theoretical Nanoscience, 2007 (4) pp. 1405–1411Google Scholar
  3. Kyle W. Tomlinson et at. A functional-structural model for growth of clonal bunchgrasses. ecological modelling, 2007 (202) 243–264.Google Scholar
  4. Li Hesheng. Modern Plant Physiology. Higher Education Press, Beijing, 2002Google Scholar
  5. P Prusinkiewice, A Lindenmayer. The algorithmic beauty of plants. New York: Springer-Verlag, 1990Google Scholar
  6. S Dekmo, L Hodges, B. C Naylor onstruction of fractal objects with iterated fuction systems. Computer Graphics, 1985, 19(3): 271–278CrossRefGoogle Scholar
  7. W Reeves. Approximate and probabilistic algorithms for shading and rendering structured Particle Systems. Computer graphics, 1985, 19(3): 313–322CrossRefMathSciNetGoogle Scholar
  8. X G Viennot, G Eyrolles, N Janey, D Arques. Combinatorial analysis of ramified patterns and computer imagery of trees. Computer graphics, 1989, 23(3): 31–39CrossRefGoogle Scholar
  9. Yang Shijie. Plant Biology. Science Press, Beijing, 2000.Google Scholar
  10. Zhao Xing, Ph de Reffye, Xiong Fan-Lun et al. Dual-scale automaton model for virtual plant development. Chinese Journal of Computers, 2001 ,24 (6) :608–617 (in Chinese)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Qingsheng Zhu
    • 1
  • Mingwei Guo
    • 1
  • Hongchun Qu
    • 1
  • Qingqing Deng
    • 1
  1. 1.Chongqing UniversityChongqingChina

Personalised recommendations