Smart Livestock Farms Using Digital Twin: Feasibility Study

Jo, Seng-Kyoun; Park, Dae-Heon; Park, Hyeon; Kim, Se-Han

doi:10.1109/ictc.2018.8539516

Cited by 73 publications

(35 citation statements)

References 9 publications

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“…In terms of a smart city, Jo et al [15] and Chen et al [22] both present work that is related to smart cities and both utilise Digital Twins. The first, by Jo et al [15], presents a paper that produces a feasibility study on the potential uses of a Digital Twin for a smart farm. The authors note the importance of Industry 4.0 for the realisation of this project as it makes the deployment of Digital Twin a challenge in complex environments.…”

Section: ) Smart Citiesmentioning

confidence: 99%

“…The authors note the importance of Industry 4.0 for the realisation of this project as it makes the deployment of Digital Twin a challenge in complex environments. The authors highlight three applications, GE's Predix, Eclipse's Ditto and IBM's Watson as contenders for the deployment of Digital Twin technology along with some guidelines on how the monitoring of livestock can be smarter through the use of a Digital Twin [15].…”

Section: ) Smart Citiesmentioning

confidence: 99%

“…The review reported in Section V, above, shows that this area is similar to healthcare in terms of limited academic research. The papers currently cover large parts of this broader vision of a smart city; anything from city-wide Digital Twins for smart cities to more specific areas like traffic management Digital Twins [22] [97] and livestock management [15] to renewable energy [18]. The topics touched on how the large scale Digital Twin can be used for a fully connected large town or city.…”

Section: Digital Twin In Smart Citiesmentioning

confidence: 99%

See 2 more Smart Citations

Digital Twin: Enabling Technologies, Challenges and Open Research

et al. 2020

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Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.

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Section: ) Smart Citiesmentioning

confidence: 99%

Section: ) Smart Citiesmentioning

confidence: 99%

Section: Digital Twin In Smart Citiesmentioning

confidence: 99%

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Digital Twin: Enabling Technologies, Challenges and Open Research

et al. 2020

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“…Computer-rendered avatars of humans are also used in these simulations in order to test their ergonomic viability (Malik, 2021). Livestock farming is another domain where a proposal for the utilization of DTs has been made, as the installation of sensors for measuring the environmental factors in real-time can be applied for simulations based on which decisions about the optimal CO 2 and temperature levels can be made in the near-real-time (Jo et al, 2018). This approach has been applied to even more complex socio-technical systems such as cities-arguably one of the most complex artifacts created by humans.…”

Section: Dt Conceptmentioning

confidence: 99%

Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility

Papyshev

Yarime

2021

Data & Policy

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This article discusses the technology of city digital twins (CDTs) and its potential applications in the policymaking context. The article analyzes the history of the development of the concept of digital twins and how it is now being adopted on a city-scale. One of the most advanced projects in the field—Virtual Singapore—is discussed in detail to determine the scope of its potential domains of application and highlight challenges associated with it. Concerns related to data privacy, availability, and its applicability for predictive simulations are analyzed, and potential usage of synthetic data is proposed as a way to address these challenges. The authors argue that despite the abundance of urban data, the historical data are not always applicable for predictions about the events for which there does not exist any data, as well as discuss the potential privacy challenges of the usage of micro-level individual mobility data in CDTs. A task-based approach to urban mobility data generation is proposed in the last section of the article. This approach suggests that city authorities can establish services responsible for asking people to conduct certain activities in an urban environment in order to create data for possible policy interventions for which there does not exist useful historical data. This approach can help in addressing the challenges associated with the availability of data without raising privacy concerns, as the data generated through this approach will not represent any real individual in society.

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“…First, they are based on embryonic but rapidly developing technologies [12]. Undoubtedly, technologies used in digital livestock farming-like big data [13], automatic milking robots [14], virtual fences for controlling livestock [15], convolutional neural network models for identifying animals [16], wearable nano-biosensors [17], microcontroller devices for monitoring the heart rate of animals [18], and digital twins [19]-as well as big data analytics and machine learning algorithms [20][21][22], miniaturized computing devices [23], and genome editing processes [24], are in a continuous and fast evolution process. Second, the adoption of radical innovations is always associated with a high degree of risk [25], which, in the case of digital agriculture, may refer to financial or socio-ethical threats [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Extension and Advisory Organizations on the Road to the Digitalization of Animal Farming: An Organizational Learning Perspective

Charatsari

Lioutas

Rosa

et al. 2020

Animals

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Agricultural digitalization emerged as a radical innovation, punctuating the gradual evolution of the agrifood sector and having the potential to fundamentally restructure the context within which extension and advisory organizations operate. Digital technologies are expected to alter the practice and culture of animal farming in the future. To suit the changing environmental conditions, organizations can make minor adjustments or can call into question their purposes, belief systems, and operating paradigms. Each pattern of change is associated with different types of organizational learning. In this conceptual article, adopting an organizational learning perspective and building upon organizational change models, we present two potential change and learning pathways that extension and advisory organizations can follow to cope with digitalization: morphostasis and morphogenesis. Morphostatic change has a transitional nature and helps organizations survive by adapting to the new environmental conditions. Organizations that follow this pathway learn by recognizing and correcting errors. This way, they increase their competence in specific services and activities. Morphogenetic change, on the other hand, occurs when organizations acknowledge the need to move beyond existing operating paradigms, redefine their purposes, and explore new possibilities. By transforming themselves, organizations learn new ways to understand and interpret contextual cues. We conclude by presenting some factors that explain extension and advisory organizations’ tendency to morphostasis.

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Smart Livestock Farms Using Digital Twin: Feasibility Study

Cited by 73 publications

References 9 publications

Digital Twin: Enabling Technologies, Challenges and Open Research

Digital Twin: Enabling Technologies, Challenges and Open Research

Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility

Extension and Advisory Organizations on the Road to the Digitalization of Animal Farming: An Organizational Learning Perspective

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