The tool addresses plant landability through a three-tiered assurance mechanism:
- Geo-adaptive filtering::
- Some versions support GPS location for climate zone data.
- Automatic exclusion of plants that are not hardy/require special care
- Priority is given to recommending locally adapted varieties
- Growth Simulation Algorithm::
- Predicted crown size in 5 years based on plant database
- Avoiding post-care problems caused by too dense planting
- Professional Audit Markers::
- <li) Specialty varieties will be labeled "Specialized Care Required".
- Provide a list of suggested alternative species <li) Affiliate Local Nursery Purchasing Information
Typical example: When the user generates a scenario in Beijing area, the system will automatically replace Phoenix dactylifera with Yuanbao Maple, and the tropical lawn with cool-season grass species. Users can manually turn off the geo-filtering function in the advanced settings.
This answer comes from the articleAI Landscape: Using AI to Generate Landscape Design SolutionsThe
May not be reproduced without permission:AI productivity tools " How do AI-generated design solutions ensure the practical feasibility of plant configurations?
