目的 在分析当前相关研究成果的基础上,提出植物叶片基于自然环境的色彩粗规律模型,为大场景植物动态仿真提供算法和理论依据。方法 该方法利用函数S-粗集,通过(F,F)-色彩粗规律给出动态色彩系统U的色彩生成算法和植物叶片色彩推理仿真,建立基于自然环境的植物叶片动态色彩系统建模理论。结果 实验结果表明,在基于双向S-粗集函数的植物叶片动态色彩系统理论中,对于阔叶植物叶片,当调整外部因素(如光照度、温度、湿度等)时,叶片的色彩也随之产生相应的变化,验证了植物叶片色彩粗规律理论的可靠性与有效性。结论 在植物叶片的智能仿真系统中,当外部因素变化时,植物叶片色彩的动态变化基本上符合自然环境中叶片的基本规律,是一种基于Billboard技术的用于解决大场景植物叶片色彩动态变化模拟和仿真的有效方法。

Objective This study proposes a plant leaf model based on the color rough law of the natural environment. This study provides algorithms and theories that can be used for large-scale plant dynamic simulation. Methods The functional S-rough set is used through (F,F) color rough law and the color coarse rule of the natural environment, which provide a color generation algorithm based on a dynamic color system and plant leaf color reasoning simulation. This study proposes a system modeling theory for dynamic plant leaf colors based on the natural environment. Results The developed dynamic color system theory is shown as a function of two direct S-rough sets for broad leaves. Leaf color changes with the adjustment of external factors (e.g., light, temperature, and humidity). This adjustment verifies the reliability and validity of the plant leaf rough law theory. Conclusion In the intelligent simulation system of plant leaves, the dynamic change in leaf color is consistent with the natural law of leaves. This system can be used for large-scale plant dynamic simulation based on the billboard technology. The current algorithm simulates leaves; however, its applications are still limited. For example, the time and space complexities of the algorithm have not yet been analyzed. In addition, the algorithm has yet to be used to simulate uneven spots on leaves. Future studies on grove simulation should include random functions to obtain the desired effect. The light, temperature, and humidity factors considered in this study are only for simple calculations. Normal calculation methods, such as large-scale simulation, should be performed. Simple methods should be included in future studies. This study has shown through simulation that the color of plant leaf surface varies under the influence of scene appearance factors. The results of this study may be used as a basis for the large-scale simulation of forest fire and vegetation emergency management plan design under drought disasters.