The article is devoted to the analysis of the current state and prospects of application of artificial intelligence (AI) technologies in the field of landscape design. The paper discusses key algorithmic approaches such as machine learning, neural networks, generative models and optimization algorithms that contribute to improving the efficiency and creativity of the project process. Special attention is paid to practical areas of AI integration: generative design and automatic formation of composite solutions, spatial analysis using geographic information systems (GIS), modeling of microclimate and ecosystem interactions, selection of plant communities taking into account sustainability and seasonal dynamics, as well as intelligent irrigation, monitoring and visualization systems using VR/AR technologies.

The advantages of using AI are analyzed, including speeding up design iterations, personalization of solutions for specific conditions and customer requests, increasing environmental sustainability and resource efficiency of projects. The existing limitations related to the quality and availability of data, problems of interpretability of models and ethical aspects of automation of creative processes are noted. In conclusion, the directions of further research focused on the creation of hybrid human-AI systems and the development of interdisciplinary approaches in digital landscape design are determined.

KASIMOV O.S.

Professor, doctor of philosophy (PhD) Art sciences. National Institute of Fine Art and Design named after Kamoliddin Behzod, Tashkent, Uzbekistan.

E-mail: oybekgulmira@gmail.com, https://orcid.org/0000-0003-4287-2491

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artificial intelligence, landscape design, neural networks, sustainable development, digital modeling, geographic information systems (GIS), intelligent technologies