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How can zero-based users avoid common mistakes in AI landscape design?

2025-08-20 445
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Beginner's Guide to Avoiding Pitfalls and Smart Assist Programs

Aiming at the functional mistakes often made by DIY users, AI Landscape has built-in multiple protection mechanisms:

  1. spatial diagnosis: AI automatically detects and alerts potential problems after uploading photos (e.g. slope > 151 TP3T will flag the need for retaining walls)
  2. vegetative adaptation: When geo-localization is turned on, the system filters vegetation options that are not adapted to the local climate (e.g., avoid palm trees in northern areas)
  3. traffic flow: Intelligent limitation of the number of paths according to the size of the space, preventing the yard from being over-divided

Suggestion: For the first time, we suggest you to choose "Wizard Mode", the system will step by step ask for practical information such as sunshine, family members, etc. to constrain the design boundary. When encountering complex terrain, take a top view with a drone before importing to get more accurate analysis results. After completing the design, make sure to verify the rationality of functional zoning with physical references (e.g. placing chairs).

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