Abstract
In the context of the continuous development of technology and economy, the construction industry is also constantly developing and changing, and the application of artificial intelligence technology in landscape architecture art is one of the achievements. The application of artificial intelligence technology to landscape architecture art design is conducive to the further improvement of people’s quality of life and work. Based on this, this paper analyzes the application of artificial intelligence technology in landscape architecture art design. This paper conducts research through the combination of literature review method and experimental comparison method, and summarizes relevant domestic and foreign literature materials to find that artificial intelligence technology in landscape architecture art design The application in the main has the following results: application in landscape architecture art design, application in landscape architecture plan, application in landscape architecture construction, application in landscape architecture construction, application in waterscape design, applications in floor paving, applications in visual lighting, and interior design applications. Through the comparison between two design companies in a certain area for the comparison of landscape architecture art design experiments, it is concluded that the use of artificial intelligence technology for architectural art design has the following advantages: the use of artificial intelligence technology can create multiple, simple operation can be used Complete drawing and innovative art forms. The results of this paper show that the use of artificial intelligence technology for landscape architecture art design has more advantages.
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Wang, S. (2021). Application Research of Artificial Intelligence Technology in Landscape Architectural Art Design. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_51
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DOI: https://doi.org/10.1007/978-3-030-53980-1_51
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