植物资源多样性在景观设计应用中的AI优化策略

AI Optimization Strategies for Plant Resource Diversity in Landscape Design

本研究详细探讨了人工智能(artificial intelligent,AI)在景观设计领域中,特别是在植物资源多样性优化方面的应用策略。在全球化与城市化迅速推进的背景下,生态环境面临严峻挑战,植物多样性的保护与利用显得尤为关键。本研究回顾相关文献,深入分析了传统景观设计方法的局限性,并探讨了AI技术在其他相关领域的应用成果。研究着重描述了基于数据的植物选择机制、自动化景观布局设计、实时监控及维护系统的构建,以及预测分析与风险管理策略的开发。通过案例研究,本研究展示了AI技术在实际景观项目中的实施效果及其遇到的挑战,从而了解AI在景观设计中的可持续性与创新性,强调其在提升设计效率及生态效益方面的潜力,并对未来的研究方向提出了建议。本研究旨在为景观设计领域内的科学实践及政策制定提供理论与实践的支撑。

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.