This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: China Institute of Water Resources and Hydropower Research. Active years: 2023-2026.
Company Filing History:
Years Active: 2023-2026
Title: Innovations in Vegetation Restoration by Chunyu Qi
Introduction
Chunyu Qi is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of environmental science, particularly in the area of vegetation restoration. His innovative approach utilizes machine learning to enhance the effectiveness of ecological rehabilitation efforts.
Latest Patents
Chunyu Qi holds a patent for a method, system, and equipment for vegetation restoration or rehabilitation based on machine learning. This patent outlines a comprehensive method for simulating a natural ecosystem to restore and rehabilitate vegetation. The process involves acquiring historical growth environment data, extracting site condition features, and developing a vegetation community structure selection model. By selecting optimal vegetation species based on current growth environment data, this method aims to improve the quality of the ecological environment. The advantages of this approach include simple operation, fast modeling speed, high calculation efficiency, and high screening accuracy.
Career Highlights
Chunyu Qi is affiliated with the China Institute of Water Resources and Hydropower Research. His work focuses on integrating advanced technologies into environmental restoration practices. His innovative methods have the potential to transform how vegetation restoration is approached, making it more efficient and effective.
Collaborations
Chunyu Qi collaborates with notable colleagues, including Guangquan Liu and Wanli Shi. Their combined expertise contributes to the advancement of research in vegetation restoration and ecological rehabilitation.
Conclusion
Chunyu Qi's innovative contributions to vegetation restoration through machine learning represent a significant advancement in environmental science. His work not only enhances the effectiveness of ecological rehabilitation but also sets a precedent for future innovations in the field.