Can AI Select Plants for a Specific Climate? My Test

In today's world, where artificial intelligence permeates all spheres, many wonder: can it replace humans in creative yet technical fields like landscape design? Specifically, is AI capable of selecting plants perfectly suited for a specific climate? My experience in landscape design, which began back in 1997 with the company "Dom i Sad" (Home and Garden), shows that AI is a powerful assistant, but by no means a complete replacement. It significantly speeds up work, but the final word always belongs to a human who understands the nuances and specific characteristics of the area.

Why Climate is So Important for Plants (and Our Budget)

Plant selection isn't just a matter of aesthetics; it's the foundation of a successful and long-lasting landscape. The main factor here is climate. Plants, like people, have their preferences and limitations regarding temperature, humidity, and light exposure. If these factors are ignored, the consequences can be quite dire: from stunted, poorly flowering shrubs to the complete freezing or scorching of entire compositions. I've often seen people lose up to 30-40% of their landscaping budget trying to revive or completely replace plants that simply weren't adapted to local conditions. For example, planting heat-loving magnolias in a region with harsh winters where temperatures regularly drop below -20°C is doomed to fail unless special care and protection are provided. It's crucial to consider not only the general climatic zone but also the microclimate of the site itself: wind exposure, shadows from structures, terrain features, and even the presence of water bodies.

My Journey in Plant Selection: From Sketches to Digital Models

When I first started in landscape design, all plant selection was an entirely manual process. We flipped through thick catalogs, studied agronomic handbooks, and communicated with nurseries. Each project required deep immersion in plant biology and knowledge of local conditions. Then, with technological advancements, I mastered AutoCAD, Revit, and 3ds Max, which allowed me to create more precise and visual projects, but the plant selection process remained labor-intensive. I always emphasized that every site is unique: its own soil, its own drainage, its own insolation. And even when I trained landscape designers, I always focused on the importance of observation and deep analysis, rather than simply copying ready-made solutions. It was this many years of practice that shaped my understanding of what tool was needed to optimize the work.

How I Tested AI for Plant Selection

My interest in AI is no coincidence. At 61, having started coding independently with AI and developing formspace.design, I see enormous potential in it for automating routine tasks. Naturally, I couldn't overlook the question of plant selection. I experimented with various AI tools available on the market to understand their capabilities. I entered quite detailed queries: geographical location of the site, average annual temperatures, precipitation, soil type (sandy, clay), as well as desired plant characteristics (height, bloom color, bloom time, care requirements, pest resistance). The results were impressive in terms of speed of output, but not always in depth and accuracy. AI could offer an extensive list of plants theoretically suitable for a given climatic zone, but often missed local specifics or particular varieties.

What AI Does Well, and Where the Master's Touch is Needed

Artificial intelligence excels at processing vast amounts of data. It can instantly analyze thousands of plant species, their characteristics and requirements, compare them with the entered climatic parameters, and produce an impressive list of potential candidates. This significantly saves time on initial selection. AI can suggest plants resistant to certain diseases or recommend combinations that look good together. However, there are nuances. AI doesn't have the "artist's eye" that I so often talk about. It cannot assess the unique aesthetics of a specific place, doesn't know the history of the site, doesn't feel the client's desires, and doesn't see how light falls at different times of the day. It doesn't account for the presence of local pests or the availability of planting material in a specific region. For example, AI might recommend a beautiful tree that, in your region, suffers from a specific bark beetle or isn't sold in local nurseries. This is where the master's touch is needed to correct and adapt AI's suggestions.

Typical Landscaping Pitfalls AI Might Miss

Even with AI's help, plant selection can encounter several problems that require human intervention:

1. Underestimating the size of a mature plant: AI provides general data, but doesn't always account for the fact that a small shrub you plant today might grow 3–4 meters wide in 5–7 years, completely blocking a window or obstructing a pathway. I've seen plants planted too close to a house eventually start to damage the foundation or shade windows.
2. Incorrect soil type selection: Without precise soil analysis, AI might suggest plants that aren't suited to your pH or composition. For example, many rhododendrons require acidic soil, and if yours is alkaline, they will suffer despite being in a suitable climatic zone.
3. Drainage issues: Waterlogging is one of the most common causes of plant death, especially for conifers. AI doesn't "see" hidden drainage problems on the site unless you provide it with this data.
4. Local pests and diseases: While AI knows general disease resistance, it might not be aware of local outbreaks of specific pests or fungal infections that can destroy even a "resistant" variety.
5. Availability: AI might suggest rare or exotic plants that would be extremely difficult to find in local nurseries or that would be prohibitively expensive.

How to Plan Plant Selection in formspace.design

At formspace.design, while we don't provide a direct list of plants by climate, we offer a powerful tool for planning the entire landscape design process, including the plant selection stage. My goal in creating formspace.design was to enable every homeowner to systematize their ideas and see the complete picture.

I recommend starting with Module 1.0 "Site Plan." Here, you can accurately draw your plot boundaries, mark existing structures, map out light zones (sun/shade), and even terrain. This is a critically important foundation, as it's on this plan that you will "try on" future plants. You can designate areas on the plot with different microclimates, for example, a "windy open area" or a "sheltered corner by the house wall." You will then use this data for manual selection. Next, I use Module 2.1 "AI Concept" to get general ideas for style and zoning. AI will suggest, for instance, a "recreation area with an orchard" or a "main entrance with coniferous compositions." These aren't specific plant species, but they provide valuable direction for further, more detailed selection. You can learn more about how this works in the article How formspace.design AI Concept Helps in Landscape Design.

Then, in Modules 1.x "Objects," I can add conventional symbols for trees, shrubs, and flowerbeds, setting their approximate mature sizes. This allows me to "try them on" the plot, see how they will interact with the space and each other, and ensure they won't obstruct pathways (a 1.2-meter path width should remain clear) or shade important areas. Using these tools, I create a "skeleton" of the landscaping, which can then be filled with specific species chosen considering climate, soil, and my personal observations. For example, if AI suggested "conifers," I, knowing my region (e.g., hardiness zone 4-5), would then choose junipers or thujas that are resistant to local conditions and available in local nurseries. This allows me to combine general AI recommendations with deep local expertise. You can read more about working with the site plan here: Planning Your Plot in the 2D Editor: From Idea to Implementation.

FAQ

• Can AI completely replace a landscape designer in plant selection? No, AI is a powerful assistant and a valuable tool that significantly speeds up routine tasks and offers a wide range of ideas. However, human experience, deep knowledge of local conditions, understanding of microclimates, as well as aesthetic taste and the ability to grasp individual client preferences remain irreplaceable. AI complements, but does not replace, the creative and expert role of the designer.
• What climatic data should be considered when choosing plants? The primary factor is your region's hardiness zone, which indicates the minimum winter temperatures a plant can withstand. Also important are average annual precipitation, summer temperatures, number of sunny days, wind load intensity, and even air humidity. Don't forget the length of the frost-free period, which affects planting times and plant development.
• How can I verify if AI-suggested plants are suitable for my site? Always cross-reference information from AI with local agronomic handbooks, local nursery websites, or consult with local agronomists and landscape specialists. Be sure to consider your microclimate's specifics: shadows from buildings, low-lying areas, slopes, and wind corridors. Personal observations of the site over several seasons will provide the most complete picture.
• Can AI be used to select rare or exotic plants? Yes, AI can provide a list of such plants with detailed descriptions of their growing requirements. However, for exotic species, not only general climatic data but also very specific local conditions and the availability of specialized care are particularly important. The availability of planting material and its cost can also be a significant obstacle.
• What if my site has a complex microclimate? On such sites, for example, with sharp elevation changes, strong winds, or uneven lighting, the role of a landscape designer increases significantly. AI can provide general recommendations, but only a specialist can assess how a north-facing slope with strong winds and shade from a forest will affect the choice of each individual plant. In such cases, it's often necessary to create artificial protective barriers or raised beds.
• How does AI account for aesthetic preferences in plant selection? AI itself does not possess taste or a sense of beauty. It can suggest plant combinations based on style requests (e.g., "Japanese garden," "Mediterranean style") or color palette, if you specify them. But the final decision on composition, the combination of shapes, textures, and colors, and how it fits into the overall concept, always remains with you and your vision.
• Does AI save money on landscaping? Yes, indirectly, AI can help save money. It helps avoid costly mistakes by suggesting more suitable plant options, which reduces expenses for replacing, transplanting, and treating unsuccessful plantings. Furthermore, it saves your time spent on information gathering, which also has its cost. However, plant selection itself is only a part of the overall landscaping budget, which includes material purchase, soil preparation, and planting work.

Artificial intelligence is an incredible tool that expands our capabilities, making the design process faster and more efficient. But it doesn't negate the importance of deep knowledge, personal experience, and a creative approach. It helps me, Vladimir, in creating formspace.design, and can become your reliable assistant in planning your ideal garden, allowing you to focus on the most important and creative aspects.