Cloud Theory and Fractal Application in Virtual Plants
Author(s) -
Zhaohong Wang
Publication year - 2011
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2011.02.03
Subject(s) - computer science , fractal , cloud computing , randomness , function (biology) , component (thermodynamics) , ambiguity , virtual machine , task (project management) , graphics , computer graphics (images) , systems engineering , mathematics , mathematical analysis , operating system , statistics , physics , thermodynamics , evolutionary biology , engineering , biology , programming language
Plants is an important component of natural scene. Unfortunately, due to high level complexity of the structure of plant, simulating plant becomes extremely a difficult task. When the fractal theory is imported, it provides a broader development space for the plant modeling. With the development of the fractal research, virtual plant has become a hot and interesting research topic in computer graphics area. The virtual plants technology is very important in guiding the crop production, implementing the agriculture informationization and constructing the virtual environment. At present a single virtual plant modeling technology is quite mature, the method to generate a body of plants often uses the even algorithm or the normal algorithm, but a body of plants in the real world is not even, and is not normal also, the cloud model relaxes the precise determination membership function to expectation function with normal distributed membership degree, combines ambiguity and randomness organically to fit the real world objectively. So it has general applicability, producing a body of plants based on the cloud model can simulate plant's condition and the distribution well.
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