Abstract: Tree modeling architecture is regarded as the core element in smart green infrastructure (SGI) projects with great landscape spatial planning and forest monitoring functionality. A low-cost AI chatbot-based application prototype strategy was used to present and implement a novel, proof-of-concept, automated tree CAD modeling architecture with blockchain integration method. A tree CAD model made up of four 2D tree-frames forms the basis of the suggested parametric tree modeling methodology, with a demarcation between these frames at 45 ° (division angle), on which recorded tree-leaves color and texture have been assigned. A fully automated “Voice-to-CAD programming AI chatbot prototype” technique was employed, as a user-defined routine, at the top of an off-the-shelf CAD platform, to create tangible tree-model NFT tokens for building up an “Internet-of-Trees” thematic blockchain. In contrast to established methods based on diffusion models for tree growth simulation, the proposed "Blockchain/Merkle hash tree" tracks tree geometry growth and leaves texture change temporarily with simple parametric transactions (controlled Merkle hash tree scaling) and has great modification and redesign ability for SGI, forest, and pocket-park planning intelligence. This adds functionality and value to the CAD-blockchain integration industry.

Keywords: Smart green infrastructure, L-systems, tree modeling architecture, voice-to-CAD programming, AI chatbot, blockchain tokenization, decentralized tree modeling (DeTMo)

Pages: 261-273