Abstract
Simple SummaryA digital twin can be described as a digital replica of a real-world entity. It simulates the physical state and maybe the biological state and behavior of the real-world entity based on input data. It helps in predicting, optimizing, and improving decision making. It has revolutionized the industrial world, particularly the manufacturing industry, construction and healthcare sector, smart cities, and energy industry. In this perspectives paper, we explore the development and implementation of the digital twin in modern animal farming. In addition to showcasing potential applications, this review provides in-depth insights about the potential implementation and characterization of digital twins in modern animal farming.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.
Highlights
Today, more than ever before, vast quantities of information are being captured, stored, processed, and used digitally
This review looks at the concept of digital twins from two perspectives
As part of the SmartAgriFood and Fractals accelerator projects [46], digital twins were being used to sense the movements of dairy cows using high-tech pedometers, which is helpful in detecting when a dairy cow is in estrus and ready for breeding
Summary
More than ever before, vast quantities of information are being captured, stored, processed, and used digitally. When compared to the Apollo guidance computer [2] on Apollo T human-crewed spacecraft to land on the moon, this is more than one million times its RAM capacity [3] This explosive growth in computing power, storage and the has way pavedfor thenumerous way for numerous smarttodevices to existThe toandcapacity the internet hasinternet paved the smart devices exist today. Experienced farmers use nology can benefit livestock farming in the near future Livestock farming their knowledge or the knowledge of previous generations to run their operations and has been a highly experiential and manual industry. Experienced farmers use their care for their livestock. In housing structures, and reduce the costs of livestock losses and breeding operations
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