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A Fast Method of Dynamic Maize-3D-Modeling Based VRML

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Abstract:

Discussed the key process and referenced method of field information quantitative extraction for maize based on L-system-3D dynamic modeling in the process of virtual plants simulative display, presented the method of field information quantitative extraction for plant simulation, and delivered the effective final validation results. The research can be used to serve for virtual plants display based on Virtual Reality Modeling Language effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

603-606

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.603

Citation:

Cite this paper

Online since:

September 2014

Authors:

Hao Peng Wang, Jing Zhang, Xiao Jing Li

Keywords:

3D Dynamic Modeling, Corn Growth Simulation, L-Systems, Virtual Reality Modeling Language, Visualization

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] John F. Shanahan, James S. Schepers, Dennis D. Francis, Gary E. Varvel, Wallace W. Wilhelm, James M. Tringe, Mike R. Schlemmer, and David J. Major. Use of Remote-Sensing Imagery to Estimate Corn Grain Yield[J]. AGRONOMY JOURNAL, VOL. 93, MAY–JUNE 2001. P: 583-589.

DOI: 10.2134/agronj2001.933583x

Google Scholar

[2] David. J. Skirvin. Virtual plant models of predatory mite movement in complex plant canopies[J]. Ecological Modelling, 2004, 171(3): 301-313.

DOI: 10.1016/j.ecolmodel.2003.07.007

Google Scholar

[3] Francois Tardieu. Virtual plants: modelling as a tool for the genomics of tolerance to water deficit[J]. Trends in Plant Science, 2003, 8(1): 9-14.

DOI: 10.1016/s1360-1385(02)00008-0

Google Scholar

[4] Benes B, Cordoba J A. Modeling Virtual Gardens by Autonomous Procedural Agents [J]. Theory and Practice of Computer Graphics, 2003, Vol. 15(2): 58-65.

DOI: 10.1109/tpcg.2003.1206931

Google Scholar

[5] Benes B, Espinosa E D. Modeling virtual ecosystems with the proactive guidance of agents [J]. Computer Animation and Social Agents, 2003, Vol. 14(1): 126-131.

Google Scholar

[6] Conglin Huang. 3d Reconstruction Using Multiview Imaging System[D]. University of Kentucky. 2009, 33-39.

Google Scholar