Integrating Artificial Intelligence in Landscape Architecture: Enhancing Sustainable Design and Maintenance Practices

DOI

10.2991/978-2-38476-456-3_15How to use a DOI?

Keywords

landscape architecture; artificial intelligence; machine learning; computer vision; generative design; sustainable maintenance

Abstract

Artificial intelligence (AI) is reshaping landscape‐architecture practice by augmenting the ways practitioners analyse sites, generate design alternatives and manage built landscapes. A systematic review of peer-reviewed studies, professional reports and technology pilots shows that AI techniques—including machine learning, computer vision, optimization algorithms and autonomous robotics—are already improving design productivity, resource efficiency and ecological performance. Global case evidence drawn from Singapore, the Netherlands, the United States and Australia demonstrates that AI can (a) streamline data-rich green-infrastructure planning, (b) support generative design exploration, (c) automate precision irrigation and mowing and (d) advance habitat-restoration modelling. Nevertheless, the profession faces obstacles related to data governance, technical skills, algorithmic transparency and the upfront cost of implementation. Addressing these challenges will require interdisciplinary collaboration, open-data frameworks and updated educational curricula. When deployed as a designer-centred decision-support tool—rather than as an autonomous substitute—AI can help landscape architects create greener, more resilient environments that respond to the accelerating pressures of urbanization and climate change.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Arun Tuya
PY  - 2025
DA  - 2025/08/25
TI  - Integrating Artificial Intelligence in Landscape Architecture: Enhancing Sustainable Design and Maintenance Practices
BT  - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)
PB  - Atlantis Press
SP  - 127
EP  - 137
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-456-3_15
DO  - 10.2991/978-2-38476-456-3_15
ID  - Tuya2025
ER  -