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. The functional S-rough set is used through (

) 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. 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. 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.