Chat GPT & Co. have quickly become an integral part of many people’s everyday lives. Artificial intelligence also has a number of potential applications in landscape architecture. However, it is still rarely used – read more about this here.
Artificial intelligence, or AI, aims to imitate human intelligence. It uses existing data and simultaneously generates new data to imitate cognitive abilities. Accordingly, AI is used, for example, for writing texts and social media posts, for translations and for creating tables with complex data sets.
In landscape architecture, the tool offers potential in the areas of design, data analysis, modeling, smart irrigation, maintenance and user experience. For example, BIM models can be optimized through the AI-supported analysis of climate, soil and solar radiation data. The AI can create different designs within a short period of time, which helps to make a creative decision.
AI in landscape architecture is still in its infancy in Germany, but there are already promising possibilities. Landscape architects have a wide range of tools that they can integrate into their work. This can bring benefits such as improved design processes, sustainable solutions and increased efficiency.
The following possibilities for the use of AI in landscape architecture are already conceivable:
So far, it is mainly city administrations that are experimenting with the use of AI in landscape architecture and sharing their experiences. In Singapore, for example, algorithms are being used to help with greening in the densely populated city state. For example, Singapore has optimized the design of vertical gardens and green walls by using AI to analyze which locations provide the best conditions in terms of sunlight, water availability and plant compatibility. In addition, AI-supported systems accompany hydroponic cultivation areas to optimize their yield and use resources efficiently.
In New York City, where extreme weather events such as heat waves, flooding and coastal erosion are among the challenges, AI is helping to analyze urban heat islands. This allows the city administration to quickly identify where green infrastructure is best placed to cool the city and improve air quality at the same time. AI models in New York can also predict sea level rise and flooding, helping to create resilient coastal parks and wetlands that protect the city.
And in Tokyo, environmental sensors are widespread in the parks, helping to keep an eye on plant health and intelligently plan irrigation. It is even possible to analyze biodiversity to identify exactly which ecosystems should be protected in which areas of the parks.
According to Competitionline, more than half of architecture firms in Germany already use artificial intelligence, although many others are still hesitant. The latest tools are particularly popular for text and image processing.
As with all new technologies, there are also reservations about AI. At a conference of the Landscape University Conference in 2024, Professor Olaf Gerhard Schroth from Weihenstephan-Triesdorf University of Applied Sciences explained how satellite image analysis could succeed with the help of AI and how deep learning can also be used for landscape architecture.
Schroth has achieved good and in some cases convincing results in the visualization of planting plans and the development of landscape images. At the same time, he raised critical aspects of AI, such as “hallucinations”, unclear copyrights and the creation of stereotypes.
Other experiences shared at the conference showed that AI-generated images are often faulty or cannot be implemented. At the same time, however, they are visually very appealing and offer the possibility of creating a plan based on the planting image.
The immense energy consumption of AI must also be considered. This is because the huge amounts of data that have to be stored in order to use the technology consume a lot of server space, which is not very climate-friendly.
What is certain is that it is important to engage with the topic of artificial intelligence. Because although the technology – like other technologies – cannot take over landscape architecture on its own, it offers many exciting possibilities. It is important to bear in mind that AI software is less trained and developed for the generally small discipline of landscape architecture compared to other disciplines.
Whether AI-optimized CO2-reduced concrete mixes, the automated evaluation of customer and user reviews, aerial image analyses, pricing strategies or the identification of harmful plants and waste on drone images, the technology can support creative processes. At the same time, there is still a need for human performance such as spontaneity, ingenuity, intuition, artistic and creative skills or empathy for the client’s wishes. AI can improve landscape architecture, but it cannot take over.
Read more: Another fairly new technology that is already playing a major role in urban development is augmented reality.











