scholarly journals Digital Twins in Livestock Farming

2021 ◽  
Author(s):  
Suresh Neethirajan ◽  
Bas Kemp
Keyword(s):  
Large Scale ◽  
Well Being ◽  
Farm Animals ◽  
Emotional States ◽  
Space Technology ◽  
Livestock Farming ◽  
Digital Twin ◽  
Technological Advances ◽  
Digital Twins ◽  
Cost And Benefit Analysis

Digital twin technology is already improving efficiencies and reducing costs across multiple industries and sectors. As the earliest adopters, space technology and manufacturing sectors have made the most sophisticated gains with automobile and natural resource extraction industries following close behind with recent investments in digital twin technology. The application of digital twins within the livestock farming sector is the next frontier. The possibilities that this technology may fuel are nearly endless as digital twins can be used to improve large-scale precision livestock farming practices, machinery and equipment usage, and the health and well-being of a wide variety of farm animals. Currently, many pioneers of digital twins in livestock farming are already applying sophisticated AI technology to monitor both animals and environment around the clock, which leads to a better understanding of animal behavior and distress, disease control and prevention, and smarter business decisions for the farmer. Mental and emotional states of animals can be monitored using recognition technology that examines facial features such as ear postures and eye white regions. Used with modeling, simulation and augmented reality technologies, digital twins can help farmers build more energy-efficient housing structures, predict heat cycles for breeding, discourage negative behaviors of livestock, and potentially much more. As with all disruptive technological advances, the implementation of digital twin technology will demand a thorough cost and benefit analysis by individual farms. Digital twin application will need to overcome challenges and accept limitations that arise. However, regardless of these issues, the potential of digital twins promises to revolutionize livestock farming in the future.

scholarly journals Digital Twins in Livestock Farming

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1008
Author(s):  
Suresh Neethirajan ◽  
Bas Kemp
Keyword(s):  
Large Scale ◽  
Animal Husbandry ◽  
Well Being ◽  
Farm Animals ◽  
Emotional States ◽  
Livestock Farming ◽  
Digital Twin ◽  
Technological Advances ◽  
Digital Twins ◽  
Cost And Benefit Analysis

Artificial intelligence (AI), machine learning (ML) and big data are consistently called upon to analyze and comprehend many facets of modern daily life. AI and ML in particular are widely used in animal husbandry to monitor both the animals and environment around the clock, which leads to a better understanding of animal behavior and distress, disease control and prevention, and effective business decisions for the farmer. One particularly promising area that advances upon AI is digital twin technology, which is currently used to improve efficiencies and reduce costs across multiple industries and sectors. In contrast to a model, a digital twin is a digital replica of a real-world entity that is kept current with a constant influx of data. The application of digital twins within the livestock farming sector is the next frontier and has the potential to be used to improve large-scale precision livestock farming practices, machinery and equipment usage, and the health and well-being of a wide variety of farm animals. The mental and emotional states of animals can be monitored using recognition technology that examines facial features, such as ear postures and eye white regions. Used with modeling, simulation and augmented reality technologies, digital twins can help farmers to build more energy-efficient housing structures, predict heat cycles for breeding, discourage negative behaviors of livestock, and potentially much more. As with all disruptive technological advances, the implementation of digital twin technology will demand a thorough cost and benefit analysis of individual farms. Our goal in this review is to assess the progress toward the use of digital twin technology in livestock farming, with the goal of revolutionizing animal husbandry in the future.

scholarly journals Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review

Symmetry ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1717
Author(s):  
Lei Wu ◽  
Jiewu Leng ◽  
Bingfeng Ju
Keyword(s):  
Information Asymmetry ◽  
Large Scale ◽  
Planning Process ◽  
Design Stage ◽  
Precision Machining ◽  
Digital Twin ◽  
Module Design ◽  
Digital Twins ◽  
Ultra Precision ◽  
And Control

Ultra-Precision Machining (UPM) is a kind of highly accurate processing technology developed to satisfy the manufacturing requirements of high-end cutting-edge products including nuclear energy producers, very large-scale integrated circuits, lasers, and aircraft. The information asymmetry phenomenon widely exists in the design and control of ultra-precision machining. It may lead to inconsistency between the designed performance and operational performance of the UPM equipment on stiffness, thermal stability, and motion accuracy, which result from its design, manufacturing, and control, and determine the form accuracy and surface roughness of machined parts. The performance of the UPM equipment should be improved continuously. It is still challenging to realize the real-time and self-adaptive control, in which building a high-fidelity and computationally efficient digital twin is a valuable solution. Nevertheless, the incorporation of the digital twin technology into the UPM design and control remains vague and sometimes contradictory. Based on a literature search in the Google Scholar database, the critical issues in the UPM design and control, and how to use the digital twin technologies to promote it, are reviewed. Firstly, the digital twins-based UPM design, including bearings module design, spindle-drive module design, stage system module design, servo module design, and clamping module design, are reviewed. Secondly, the digital twins-based UPM control studies, including voxel modeling, process planning, process monitoring, vibration control, and quality prediction, are reviewed. The key enabling technologies and research directions of digital twins-based design and control are discussed to deal with the information asymmetry phenomenon in UPM.

scholarly journals Precision Livestock Farming in Swine Welfare: A Review for Swine Practitioners

Animals ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 133 ◽  
Author(s):  
Madonna Benjamin ◽  
Steven Yik
Keyword(s):  
Data Entry ◽  
Well Being ◽  
Livestock Farming ◽  
Network Systems ◽  
Pork Production ◽  
Precision Livestock Farming ◽  
Technological Advances ◽  
Client Advocacy ◽  
Health And Well Being ◽  
Poor Welfare

The burgeoning research and applications of technological advances are launching the development of precision livestock farming. Through sensors (cameras, microphones and accelerometers), images, sounds and movements are combined with algorithms to non-invasively monitor animals to detect their welfare and predict productivity. In turn, this remote monitoring of livestock can provide quantitative and early alerts to situations of poor welfare requiring the stockperson’s attention. While swine practitioners’ skills include translation of pig data entry into pig health and well-being indices, many do not yet have enough familiarity to advise their clients on the adoption of precision livestock farming practices. This review, intended for swine veterinarians and specialists, (1) includes an introduction to algorithms and machine learning, (2) summarizes current literature on relevant sensors and sensor network systems, and drawing from industry pig welfare audit criteria, (3) explains how these applications can be used to improve swine welfare and meet current pork production stakeholder expectations. Swine practitioners, by virtue of their animal and client advocacy roles, interpretation of benchmarking data, and stewardship in regulatory and traceability programs, can play a broader role as advisors in the transfer of precision livestock farming technology, and its implications to their clients.

Digital Thread Enabled Manufacturing Automation Towards Mass Personalization

2020 ◽  
Author(s):  
Akhilnandh Ramesh ◽  
Zhaojun Qin ◽  
Yuqian Lu
Keyword(s):  
Information Flow ◽  
Data Exchange ◽  
Large Scale ◽  
Field Performance ◽  
Manufacturing Automation ◽  
Digital Twin ◽  
Digital Twins ◽  
Type Mass ◽  
Mass Personalization ◽  
Self Organizing

Abstract Manufacturing industries are moving towards mass personalization, which refers to the rapid production of individualized products, with large scale efficiencies. This shift from push-type mass customization to pull-type mass personalization will pose critical operational challenges to manufacturing businesses, with complexities ranging from effective requirements elicitation to design, manufacturing, commissioning and after-sales support. Aiming at addressing these challenges, a feasible operational framework for enabling efficient manufacturing automation for mass personalization is proposed in this paper. A key element of this operational framework is the Digital Thread, which streamlines information flow associated with design, manufacturing, maintenance and servicing of a personalized product, each of which are represented as Digital Twins. An As-Designed Digital Twin is created from the beginning of the product co-design process, which then evolves into the subsequent design and manufacturing process and systems resulting in As-Designed Digital Twin evolving to As-Planned Digital Twin and then to As-Built Digital Twin. The personalized product, after it’s commissioning and installation constitutes the As-Maintained Digital Twin of the product, which stores product data related to field performance. The data exchange and communications between these Digital Twins that reside in the various departments of the organization and the management systems create a seamless Digital Thread, capturing the lifecycle information of each personalized product. Personalized product is proposed to be developed through a self-organizing shopfloor, working on a multi-agent mechanism and controlled by a central agent control algorithm, which can coordinate and provide individualized process plans. The Digital Twins, interlinked by a Digital Thread and realized by a self-organizing shopfloor, thus result in increased level of automated control in engineering and manufacturing. To validate the feasibility of this proposed framework, we tested the information flow in the Digital Thread with a case study in the construction industry. Finally the challenges faced by such an automation framework and the area of future work are also discussed.

Digital twins for well-being: an overview

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 7
Author(s):  
Rahatara Fardousi ◽  
Fedwa Laamarti ◽  
M. Anwar Hossain ◽  
Chunsheng Yang ◽  
Abdulmotaleb El Saddik
Keyword(s):  
Potential Application ◽  
Well Being ◽  
Healthcare Industry ◽  
Digital Twin ◽  
Digital Twins ◽  
Different Types

Digital twin (DT) has gained success in various industries, and it is now getting attention in the healthcare industry in the form of well-being digital twin (WDT). In this paper, we present an overview of WDT to understand its potential scope, architecture and impact. We then discuss the definition  and the benefits of WDT. After that, we present the evolution of DT frameworks. Subsequently we discuss the challenges, the different types, the drawbacks, and potential application areas of WDT. Finally we present the requirements for a WDT framework extracted from the literature.

scholarly journals Methods of creating and using a digital twin of a mobile transport and transshipment rope complex

2020 ◽  
Vol 20 (3) ◽  
pp. 243-251
Author(s):  
I. A. Lagerev ◽  
V. I. Tarichko ◽  
A. V. Panfilov
Keyword(s):  
Large Scale ◽  
Load Capacity ◽  
Video Stream ◽  
Transport Systems ◽  
Work Processes ◽  
Digital Twin ◽  
Digital Twins ◽  
Ongoing Work ◽  
The Creation ◽  
High Load Capacity

Introduction. The paper considers the creation and application of digital twins at various stages of the life cycle of mobile transport and transshipment rope complexes (mobile ropeways), the equipment of which is mounted on the basis of wheeled or tracked chassis of high load capacity. The work objective is to improve safety in using such transport systems based on real-time forecasting of potential failures. This will prevent the occurrence of emergencies in a timely manner. Materials and Methods. The structure of the digital twin of the mobile transport and transshipment rope complex is proposed. Approaches to the analysis of ongoing work processes in order to prevent accidents have been developed. They are based on simulation modeling of the system dynamics using new complex mathematical models built through the system approach. Results. The developed method was tested on a large-scale layout of a mobile transport and transshipment rope complex created by 3D printing methods. A mathematical model of this system was developed; it was used to construct a digital double of the experimental model. The possibility of predicting failures in the layout is shown experimentally through the example of a rope slipping case. To do this, the actual value of the load suspension point coordinate obtained through the video stream processing method was compared to the predicted value calculated using a digital twin.Discussion and Conclusions. The research results provide the creation of an industrial digital twin of a mobile transport and transshipment rope complex mounted on cross-country wheeled chassis.

scholarly journals Getting Real: The Challenge of Building and Validating a Large-Scale Digital Twin of Barcelona’s Traffic with Empirical Data

2021 ◽  
Vol 11 (1) ◽  
pp. 24
Author(s):  
Javier Argota Sánchez-Vaquerizo
Keyword(s):  
Big Data ◽  
Empirical Data ◽  
Large Scale ◽  
Smart Cities ◽  
Digital Twin ◽  
Fine Grained ◽  
Mobility Data ◽  
Digital Twins ◽  
Alternative Scenarios ◽  
Hourly Distribution

Large-scale microsimulations are increasingly resourceful tools for analysing in detail citywide effects and alternative scenarios of our policy decisions, approximating the ideal of ‘urban digital twins’. Yet, these models are costly and impractical, and there are surprisingly few published examples robustly validated with empirical data. This paper, therefore, presents a new large-scale agent-based traffic microsimulation for the Barcelona urban area using SUMO to show the possibilities and challenges of building these scenarios based on novel fine-grained empirical big data. It combines novel mobility data from real cell phone records with conventional surveys to calibrate the model comparing two different dynamic assignment methods for getting an operationally realistic and efficient simulation. Including through traffic and the use of a stochastic adaptive routing approach results in a larger 24-hour model closer to reality. Based on an extensive multi-scalar evaluation including traffic counts, hourly distribution of trips, and macroscopic metrics, this model expands and outperforms previous large-scale scenarios, which provides new operational opportunities in city co-creation and policy. The novelty of this work relies on the effective modelling approach using newly available data and the realistic robust evaluation. This allows the identification of the fundamental challenges of simulation to accurately capture real-world dynamical systems and to their predictive power at a large scale, even when fed by big data, as envisioned by the digital twin concept applied to smart cities.

scholarly journals Islamic Perspectives on Reducing Meat Consumption to Promote Earth’s Sustainability

ICR Journal ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 161-174
Author(s):  
Daud Abdul-Fattah Batchelor
Keyword(s):  
Global Climate Change ◽  
Large Scale ◽  
Global Climate ◽  
Social Equity ◽  
Meat Consumption ◽  
Well Being ◽  
Environmental Harm ◽  
Planetary Boundaries ◽  
Livestock Farming ◽  
Excessive Strain

Livestock farming and meat consumption, especially red meat, both have a severe impact on the Earth’s environment and sustainability, causing forest destruction, wildlife extinctions, excessive greenhouse gas emissions, and global climate change. Currently, as a protein source for the world’s rapidly expanding middle class populations, increased meat consumption will likely put excessive strain on Earth’s well-being, exceeding planetary boundaries of safety. Although God Almighty provided livestock for human benefit, today considerations of protecting the higher objectives (maqasid) of Islamic shariah, the fiqh principle (qawa’id) of reducing harm, and also promoting social equity and physical health, require Muslims to reduce meat consumption and live more simply, like the Prophet (pbuh) and his Companions, who were ‘semivegetarians’. The review of animal sacrifice in Islam, particularly during the annual Eid ul-‘adha celebration, confirms that Islam strongly promotes these practices. However, the alternative to sacrificing (fasting for Tamattu’ and Qiran pilgrims) should be availed upon wherever possible, not just during Eid ul-‘adha. Mujtahids should investigate in which situations, such as following large-scale human calamities or cases of severe environmental harm, Islam may permit the giving of sadaqah or other aid instead of the traditional sacrifice.

scholarly journals The Place of Hope and Worrying in the Structure of Socially Significant Feelings (on the Example of Odessa)

2018 ◽  
Keyword(s):  
Quality Of Life ◽  
Large Scale ◽  
Life Quality ◽  
Well Being ◽  
Social Processes ◽  
Emotional States ◽  
The Impact ◽  
Ukrainian Society ◽  
Sociological Interpretation

The article provides an analysis of the background emotional states, dominant in the Ukrainian society, such as «anxiety, worry» and «hope», as well as their place in the structure of socially significant emotions. Different aspects of social well-being, based on people’s opinion about the quality of life, are revealed on the analysis of the pollings on a large scale. Emotions (feelings) are interpreted as «results of social processes» and as «reasons» of social processes, essential for «explanations of social behaviour» (J. Barbalet). Using cluster analysis the author demonstrates that it is meaningless to share different emotions. They don’t appear in their pure forms. The article also considers the impact of the «hope and «anxiety» on assessment of different aspects of life quality. The empirical base, for the resolving problem of sociological interpretation, was representative pollings, carried out in Odessa between 2004 and 2017.

scholarly journals Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming

2021 ◽  
Vol 8 ◽  
Author(s):  
Suresh Neethirajan
Keyword(s):  
Digital Media ◽  
Data Augmentation ◽  
Animal Health ◽  
Real Data ◽  
Machine Learning Algorithms ◽  
Farm Animals ◽  
Generative Adversarial Networks ◽  
Farm Animal Welfare ◽  
Livestock Farming ◽  
Digital Twins

Deepfake technologies are known for the creation of forged celebrity pornography, face and voice swaps, and other fake media content. Despite the negative connotations the technology bears, the underlying machine learning algorithms have a huge potential that could be applied to not just digital media, but also to medicine, biology, affective science, and agriculture, just to name a few. Due to the ability to generate big datasets based on real data distributions, deepfake could also be used to positively impact non-human animals such as livestock. Generated data using Generative Adversarial Networks, one of the algorithms that deepfake is based on, could be used to train models to accurately identify and monitor animal health and emotions. Through data augmentation, using digital twins, and maybe even displaying digital conspecifics (digital avatars or metaverse) where social interactions are enhanced, deepfake technologies have the potential to increase animal health, emotionality, sociality, animal-human and animal-computer interactions and thereby productivity, and sustainability of the farming industry. The interactive 3D avatars and the digital twins of farm animals enabled by deepfake technology offers a timely and essential way in the digital transformation toward exploring the subtle nuances of animal behavior and cognition in enhancing farm animal welfare. Without offering conclusive remarks, the presented mini review is exploratory in nature due to the nascent stages of the deepfake technology.

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