China Institute of Water Resources and Hydropower Research

Chunyu Qi

Liu Liu

Qiang Zhang

Wanli Shi

Guangquan Liu

Yingfei Bai

Yonggui Chen

Heng Fu

Puhang Li

A method for vegetation restoration or rehabilitation of simulating a natural ecosystem based on machine learning (ML) includes: acquiring historical growth environment data of a vegetation community; extracting a site condition feature and a growth condition feature of each vegetation species; restoring and rehabilitating a vegetation community structure selection model; and selecting, based on the vegetation community structure selection model, an optimal vegetation species according to current growth environment data of the vegetation community, and restoring and rehabilitating a vegetation community simulating a natural ecosystem. The method comprehensively considers various factors affecting vegetation restoration based on the site condition and the growth condition. The method has the advantages of simple operation, fast modeling speed, high calculation efficiency, and high screening accuracy and can realize accurate and effective vegetation restoration to improve the quality of the ecological environment.

Method, system and equipment for vegetation restoration or rehabilitation based on machine learning

Growing community of inventors

Beijing, China

Chunyu Qi