Study on forest vegetation suitability assessment and distribution prediction based on random forest algorithm

In this paper, a suitable forest plant growth assessment model was established by random forest algorithm, and the main factors were determined by combining multiple ecological environment data, which enhanced the accuracy of environmental adaptability assessment. The prediction of plant distribution is also demonstrated, and the application of the model and the integration of the system are realized. The experimental results show that the model has good prediction performance and can be used for ecological maintenance and forest cultivation.