Wood wide web design. A computational model to adapt the cities design with mycorrhizal networks
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Authors
Reategui, Jose L.Issue Date
2022-01-01Keywords
cloud computingedge computing
Grasshoppper3D
IoT
machine learning
Mycorrhizal networks
SDG 13
SDG 15
Sentinel-2
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2022 IEEE International Humanitarian Technology Conference, IHTC 2022DOI
https://doi.org/10.1109/IHTC56573.2022.9998366Additional Links
https://ieeexplore.ieee.org/document/9998366Abstract
The design and construction of architectural objects and cities design seeks to relate to their environment through local data collection systems that understand the environment as a static system related with bio dynamics where trees represent a community with low interaction. It was demonstrated that almost all forests in the world are communities with trees in constant communication through mycorrhiza fungi, forming an essential part of the forest's livelihood, its resilience, and ability to adapt to human intervention events. This research proposes a computational model designed to incorporate vectors into a parametric design system with the aim of showing nutrient flows based in the link between trees and mycorrhiza fungi in project intervention areas and existing construction, connecting the cities design proposals and building and cities performance analysis with the objectives of contribute to conserving, protecting, and restoring life on earth in a post-carbon era from architecture, urban design, and landscaping. These vectors are the result of the analysis of orchid health and the use satellite images in different bands, all this process is supported by machine learning, Internet of Things, edge and cloud computing technologies.Type
Otherinfo:eu-repo/semantics/article
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info:eu-repo/semantics/openAccessLanguage
engae974a485f413a2113503eed53cd6c53
https://doi.org/10.1109/IHTC56573.2022.9998366
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- Creative Commons

