Summary of Artificial Intelligence in Landscape Architecture: a Survey, by Yue Xing et al.
Artificial Intelligence in Landscape Architecture: A Survey
by Yue Xing, Wensheng Gan, Qidi Chen
First submitted to arxiv on: 26 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper reviews the applications of artificial intelligence (AI) in landscape architecture (LA), highlighting its potential benefits in design, planning, and management. It discusses how AI can solve current development problems, including urbanization, environmental degradation, and lack of public participation. The article summarizes key technologies and practical cases, providing innovative solutions for LA planning, design, and maintenance. Finally, it emphasizes the need to combine human expertise and judgment for rational decision-making. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI helps landscape architects in many ways! It can assist with design, planning, and management. This means AI can help solve big problems like urbanization, pollution, and lack of public involvement. The article talks about how AI can be used to make LA more sustainable, efficient, and user-friendly. |
