AI Optimization Strategies for Plant Resource Diversity in Landscape Design
This study extensively explores the application strategies of artificial intelligence(AI)in the field of landscape design,particularly in optimizing plant resource diversity.Against the backdrop of rapid globalization and urbanization,ecological environments face severe challenges,making the protection and utilization of plant diversity especially crucial.This research reviews relevant literature,delves into the limitations of traditional landscape design methods,and discusses the achievements of AI technology in other related fields.It focuses on describing mechanisms for data-driven plant selection,automated landscape layout design,the construction of real-time monitoring and maintenance systems,and the development of predictive analysis and risk management strategies.Through case studies,this study demonstrates the practical effects and challenges encountered by AI technology in actual landscape projects,understanding the sustainability and innovativeness of AI in landscape design.It highlights the potential of AI to enhance design efficiency and ecological benefits and suggests future research directions.This study aims to provide theoretical and practical support for scientific practice and policy-making in the field of landscape design.
Artificial intelligencePlant diversityLandscape designData-driven designSustainability and innovation
NETL
NSTL
万方数据
