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.
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References
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, 81–109
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. 1405–1411
Kyle W. Tomlinson et at. A functional-structural model for growth of clonal bunchgrasses. ecological modelling, 2007 (202) 243–264.
Li Hesheng. Modern Plant Physiology. Higher Education Press, Beijing, 2002
P Prusinkiewice, A Lindenmayer. The algorithmic beauty of plants. New York: Springer-Verlag, 1990
S Dekmo, L Hodges, B. C Naylor onstruction of fractal objects with iterated fuction systems. Computer Graphics, 1985, 19(3): 271–278
W Reeves. Approximate and probabilistic algorithms for shading and rendering structured Particle Systems. Computer graphics, 1985, 19(3): 313–322
X G Viennot, G Eyrolles, N Janey, D Arques. Combinatorial analysis of ramified patterns and computer imagery of trees. Computer graphics, 1989, 23(3): 31–39
Yang Shijie. Plant Biology. Science Press, Beijing, 2000.
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)
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Zhu, Q., Guo, M., Qu, H., Deng, Q. (2009). INTELLIGENT GROWTH AUTOMATON OF VIRTUAL PLANT BASED ON PHYSIOLOGICAL ENGINE. In: Li, D., Zhao, C. (eds) Computer and Computing Technologies in Agriculture II, Volume 2. CCTA 2008. IFIP Advances in Information and Communication Technology, vol 294. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0211-5_77
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DOI: https://doi.org/10.1007/978-1-4419-0211-5_77
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