contracts) between manager, designers, and clients
to automate and control design and AGB
monitoring, and to document and validate contract
transactions in a secure, low-cost, and transparent
manner without the need for superintendence by a
central authority (i.e. track the design process and
verify the tree and AGB data authenticity and
ownership, create and manage decentralized AGB
identity and authorization, verify ownership of AGB
data as a digital asset, and support applications that
run at the top of the “IoTr-images” decentralized
Blockchain environment). An obvious limitation of
the proposed “Batch command-line programming”
technique is the poor tree modeling accuracy and
visualization. Also, a limitation regards the CAD
platform dependency of the user-defined source
code (domain-dependent key-in procedures).
However, feature-based parametric CAD routine
adaptation, for compatibility reasons, is not a major
problem.
Suggestions for improvements and further study:
An improvement (open research issue) is an IoTr-
images Blockchain with spatial analysis
functionalities in near real-time for a secure and
decentralized autonomous GIS. For this case, we
need to incorporate georeferenced data into the
tangible raster tree-image NFTs (ISO/TC 211 series
of standards for geoinformation compliance).
Also, future research should study distributed and
collaborative “tree architecture” reconstructed from
rough videometry (scanned) 3D tree data instead of
raster tree images. So, we need a video-driven tree
architecture that implements video sequences to 3D
model transformations using a flexible and fully
configurable template. Nowadays, terrestrial
videometry can provide the necessary point clouds
for 3D tree geometry growth and 3D texture change.
Conclusion. The described conceptual case study
(method and implementation technique) is a low-
cost metaverse application that supports smart forest
monitoring, coordinated and parallel design, plain
and controlled hash tree scaling, same-data sharing,
and a trustworthy collaborative design process
(digitally distributed consensus); enabling
coordinated activity, transparency, data security
enhancement, and contractual framework
functionality for smart contracts (self-executed
agreements between designers and clients).
Acknowledgement:
We would like to acknowledge the support of the
Department of Forest & Natural Environment
Sciences, International Hellenic University
(Greece).
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Panteleimon Xofis, Levente Dimen