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Symbiotic Associations (2016)

article⁄Symbiotic Associations (2016)
abstract⁄Soil contamination poses a series of important health issues, following years of neglect, constant industrialization, and unsustainable agriculture. It is estimated that 30 of the total cultivated soil in the world will convert to degraded land by 2020 Rashid et al. 2016. Finding suitable treatment technologies to clean up contaminated water and soil is not trivial, and although technological solutions are sought, many are both resourceexpensive and potentially equally unsustainable in long term. Bacteria and fungi have proved efficient in contributing to the bioavailability of nutrients and in aggregating formation in degraded soils Rashid et al. 2016. Our research aims to explore the possible implementation of physical computing, computational analysis, and digital fabrication techniques in the design and optimization of an efficient soil remediation strategy using mycelium. The study presented here is a first step towards an overarching methodology for the development of an automated soil decontamination process, using an optimized biocell fungus seed that can be remotely populated using aerial transportation. The presented study focuses on the development of a methodology for capturing and modeling the growth of the mycelium fungus using photogrammetrybased 3D scanning and computational analysis techniques.
keywords⁄computational designphotogrammetrysimulationmycelium3d scanninggrowth strategies2016
Year 2016
Authors Sollazzo, Aldo; Baseta, Efilena; Chronis, Angelos.
Issue ACADIA 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines
Pages 470-477
Library link N/A
Entry filename symbiotic-associations