Smart Forest Modeling Behavioral for a Greener Future: An AI Text-by-Voice Blockchain Approach with Citizen Involvement in Sustainable Forestry Functionality

Dimitrios Varveris, Vasiliki Basdekidou (), Chrysanthi Basdekidou and Panteleimon Xofis
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Dimitrios Varveris: Department of Forest & Natural Environment Sciences, Democritus University of Thrace, 1st km Drama-Microchori, 661 00 Drama, Greece
Vasiliki Basdekidou: Department of Forest & Natural Environment Sciences, Democritus University of Thrace, 1st km Drama-Microchori, 661 00 Drama, Greece
Chrysanthi Basdekidou: Department of Forest & Natural Environment Sciences, Democritus University of Thrace, 1st km Drama-Microchori, 661 00 Drama, Greece
Panteleimon Xofis: Department of Forest & Natural Environment Sciences, Democritus University of Thrace, 1st km Drama-Microchori, 661 00 Drama, Greece

FinTech, 2025, vol. 4, issue 3, 1-26

Abstract: This paper introduces a novel approach to tree modeling architecture integrated with blockchain technology, aimed at enhancing landscape spatial planning and forest monitoring systems. The primary objective is to develop a low-cost, automated tree CAD modeling methodology combined with blockchain functionalities to support smart forest projects and collaborative design processes. The proposed method utilizes a parametric tree CAD model consisting of four 2D tree-frames with a 45° division angle, enriched with recorded tree-leaves’ texture and color. An “AI Text-by-Voice CAD Programming” technique is employed to create tangible tree-model NFT tokens, forming the basis of a thematic “Internet-of-Trees” blockchain. The main results demonstrate the effectiveness of the blockchain/Merkle hash tree in tracking tree geometry growth and texture changes through parametric transactions, enabling decentralized design, data validation, and planning intelligence. Comparative analysis highlights the advantages in cost, time efficiency, and flexibility over traditional 3D modeling techniques, while providing acceptable accuracy for metaverse projects in smart forests and landscape architecture. Core contributions include the integration of AI-based user voice interaction with blockchain and behavioral data for distributed and collaborative tree modeling, the introduction of a scalable and secure “Merkle hash tree” for smart forest monitoring, and the facilitation of fintech adoption in environmental projects. This framework offers significant potential for advancing metaverse-based landscape architecture, smart forest surveillance, sustainable urban planning, and the improvement of citizen involvement in sustainable forestry paving the way for a greener future.

Keywords: citizen involvement in sustainable forestry; landscape modeling behavioral; smart forest fintech adoption; collaborative greener future; blockchain functionalities (search for similar items in EconPapers)
JEL-codes: C6 F3 G O3 (search for similar items in EconPapers)
Date: 2025
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