The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Digital twins in smart farming
Open accessAbstract
Digital Twins are very promising to bring smart farming to new levels of farming productivity and sustainability. A Digital Twin is a digital equivalent of a real-life object of which it mirrors its behaviour and states over its lifetime in a virtual space. Using Digital Twins as a central means for farm management enables the decoupling of physical flows from its planning and control. As a consequence, farmers can manage operations remotely based on (near) real-time digital information instead of having to rely on direct observation and manual tasks on-site. This allows them to act immediately in case of (expected) deviations and to simulate effects of interventions based on real-life data. This paper analyses how Digital Twins can advance smart farming. It defines the concept, develops a typology of different types of Digital Twins, and proposes a conceptual framework for designing and implementing Digital Twins. The framework comprises a control model based on a general systems approach and an implementation model for Digital Twin systems based on the Internet of Things—Architecture (IoT-A), a reference architecture for IoT systems. The framework is applied to and validated in five smart farming use cases of the European IoF2020 project, focussing on arable farming, dairy farming, greenhouse horticulture, organic vegetable farming and livestock farming.
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Cites
Design Science in Information Systems Research1
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“The development of a conceptual framework is typically a design-oriented methodology that aims at solving a certain type of problem by constructing a new artefact (Hevner et al., 2004; Van Aken, 2004; March and Storey, 2008).”
BackgroundDesign science in information systems research
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Guidelines for conducting and reporting case study research in software engineering
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Digital Twin in manufacturing: A categorical literature review and classification
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“Basically, this implies that they must have a feedback loop in which a norm, sensor, discriminator, decision maker, and effector are present (de Leeuw, 1997; Int Veld, 2002).”
BackgroundDigital twin: Enabling technologies, challenges and open research
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Digital twin-driven product design, manufacturing and service with big data
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The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
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“Moreover, Digital Twins may consider multiple interdependent objects as well as sub systems at different levels of granularity (Glaessgen and Stargel, 2012; Verdouw et al., 2016b; Grieves and Vickers, 2017).”
BackgroundDigital Twin—The Simulation Aspect
Boschert, S., & Rosen, R. (2016) · Mechatronic Futures · doi:10.1007/978-3-319-32156-1_5 · Cited by 1,158 · cited 4×
“…Digital Twin for this idea (Mike Shafto et al., 2012), which was an ultra-high fidelity simulation of the space vehicle that would allow the engineers on earth to mirror the precise and actual conditions of the real vehicle during the mission (Glaessgen and Stargel, 2012; Boschert and Rosen, 2016).”
BackgroundInfluentialDigital Twins: The Convergence of Multimedia Technologies
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Cited by
Digital twin: benefits, use cases, challenges, and opportunities
Attaran, M., & Celik, B. G. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100165 · Cited by 704
The digitization of agricultural industry – a systematic literature review on agriculture 4.0
Abbasi, R., Martinez, P., & Ahmad, R. (2022) · Smart Agricultural Technology · doi:10.1016/j.atech.2022.100042 · Cited by 531
ESG and Industry 5.0: The role of technologies in enhancing ESG disclosure
Asif, M., Searcy, C., & Castka, P. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122806 · Cited by 325
Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm
Nasirahmadi, A., & Hensel, O. (2022) · Sensors · doi:10.3390/s22020498 · Cited by 304
Digital innovations for sustainable and resilient agricultural systems
Finger, R. (2023) · European Review of Agricultural Economics · doi:10.1093/erae/jbad021 · Cited by 304
Metadata
- Authors
- Verdouw, C., Tekinerdogan, B., Beulens, A., & Wolfert, S.
- Venue
- Agricultural Systems
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 189
- Pages
- 103046
- ISSN
- 0308-521X (ISSN-L)
- OpenAlex
- W3127757142
- Cited by
- 711
- References
- 13
- FWCI
- 52.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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