Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/115196
Title: A scalable digital twin for vertical farming
Authors: Monteiro, José
Barata, João
Veloso, Marco 
Veloso, Luís
Nunes, João
Keywords: Vertical farm; Resiliency; Digital twin; Scalable digitalization; Design science research
Issue Date: 2022
Publisher: Springer
Project: This study was co-funded by BLC3 COMPETE 2020 [3iBioeconomia: POCI-01-0246-FEDER-026758]; MCTES (Ministério da Ciência, Tecnologia e Ensino Superior); Fundação para a Ciência e Tecnologia (FCT) [SFRH/BDE/100385/2014]; and Association BLC3 – Technology and Innovation Campus – Centre Bio R&D Unit (UID/05083/2020). It was also co-funded by national funds of FCT – Foundation for Science and Technology, IP, within the scope of project CISUC – UID/CEC/00326/2020 and by European Social Fund, through the Regional Operation Program Centro 2020. 
Serial title, monograph or event: Journal of Ambient Intelligence and Humanized Computing
Volume: 14
Issue: 10
Abstract: Digital twins transform agriculture with three-dimensional replicas of governable physical objects and intelligent collaboration for a sustainable bioeconomy. However, their success depends on (1) scaling up resiliency in industry-ready solutions, (2) evaluating performance in near real-time monitoring of the agri-food infrastructure, and (3) delivering design guidelines and field instantiations to inspire the practitioners. This work addresses these challenges in a two-year-long design science research, aiming to reach industrial demonstration technology readiness (TRL7) in a vertical farm structure supported by digital twin technology. Vertical farms pose new challenges for agriculture, taking advantage of three-dimensional productive spaces that change over time. Furthermore, digital twins reveal the potential to warrant more rational use of resources, food protection, prevention of disruptions, and food product traceability. For design-time scalability, this research defines the digital twin requirements for vertical farms and identifies the necessary conditions for the operational environment. For run-time scalability, the study reveals a physical and digital infrastructure that managers can use to develop their vision for vertical farming in more uncertain environments, demanding resiliency and near real-time optimization.
Description: Free read-only access to the final published version by Springer at https://rdcu.be/dInLR
URI: https://hdl.handle.net/10316/115196
ISSN: 1868-5137
1868-5145
DOI: 10.1007/s12652-022-04106-2
Rights: openAccess
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais

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