Virtual mining farm animals
As an alternative to government-issued money, the cryptocurrency Bitcoin offers relative anonymity, no sales tax and freedom from bank and government interference. But some people argue that these benefits have an enormous environmental impact, particularly with regard to Bitcoin mining -- the process used to secure the cryptocurrency. In contrast to traditional banks, which keep records of balances and transactions at a centralized location, in Bitcoin all transactions are stored digitally as "blocks" in a chain that is kept by a network of peers. Using special computers, Bitcoin miners in this network compete to solve a mathematical puzzle.
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- A virtual farm turns new ground for game developers
- The buzz in Saint-André: An inside look at bitcoin mining in rural New Brunswick
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- Man Makes Millions Using 'Cow Poop' to Run Cryptocurrency Mining Firm
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Natural Resource Management
Try out PMC Labs and tell us what you think. Learn More. A 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.
Today, more than ever before, vast quantities of information are being captured, stored, processed, and used digitally. In , before the first internet browser was released by Berners-Lee, less than 0. Alternatively, computing power and storage technologies have also increased several folds over the last five decades. 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 capacity and the internet has paved the way for numerous smart devices to exist today. In , it is estimated that almost 30 billion smart devices were connected via the internet [ 4 ].
This is almost a hundred-fold increase in smart devices since In other words, we now have almost 26 smart devices per person on this planet, on average.
It is estimated that we now generate about 2. Clearly, this volume of data is beyond human comprehension. However, newer advances in artificial intelligence AI , big data and machine learning ML have the ability to process such a large volume of data and help us make sense of it Figure 1. This has opened up new possibilities that never existed before.
One such opportunity is digital twins. A timeline that shows key milestones in artificial intelligence. This review looks at the concept of digital twins from two perspectives. First, it looks at the origins and practical applications of digital twins that have been adopted across industries and sectors. Secondly, but more importantly, it looks at how digital twins technology can benefit livestock farming in the near future.
Traditionally, livestock farming has been a highly experiential and manual industry. Experienced farmers use their knowledge or the knowledge of previous generations to run their operations and care for their livestock.
Farming may be more imperfect and unpredictable than other industries, perhaps because it is exposed to the occurrence of weather shocks and pests and diseases. Digital twins promise to revolutionize potentially all aspects of livestock farming. By combining big data, real-time information from the individual farm, and AI, farmers can obtain a much more precise picture of what is occurring with their livestock, housing structures, and equipment.
As such, digital twins technology promises to help farmers better predict and discourage negative animal behaviors, track and prevent diseases from spreading or becoming serious, and improve energy efficiency, as well as animal comfort and well-being in housing structures, and reduce the costs of livestock losses and breeding operations. At the simplest level, digital twins are realistic virtual representations of a physical entity Figure 2.
This physical entity can be anything from an automobile, windmill, or a manufacturing unit [ 5 ]. Sometimes it can even be something as complex as an entire city such as Singapore [ 6 ]. To better understand the concept behind digital twins, it is necessary to examine the origins of digital twins and how the concept has evolved to date.
A conceptual representation of digital twin technology and its relation with a physical asset. As early as , in his book Mirror Worlds , David Gelernter wrote about the possibility of software models that represent some chunk of reality [ 7 ]. However, even before that, NASA was one of the first organizations that used complex simulations of spacecrafts [ 8 ].
In , the Apollo 13 mission had an unexpected explosion in its oxygen tank [ 9 ], which damaged their main engine and pushed the spacecraft away from its trajectory by about miles a minute. To make things worse, the oxygen supply for the crew was slowly leaking into space. However, the mission team quickly modified several high-fidelity simulators to match the real-world conditions of the damaged spacecraft and used this to help the astronauts pick the right moves to land safely back on earth [ 10 ].
This was probably one of the first real-world applications of a digital twin. However, it is important to note that digital twins were not a familiar concept back in Even so, this specific example met several key characteristics of a digital twin. For instance, the simulators sensed the real-world condition of the spacecraft and used that information to modify themselves.
More importantly, it helped the team address what-if scenarios that were never considered in the design plan. Space crafts are extremely costly, mission-critical and inaccessible by anyone not on it. Therefore, in a sense, they were the perfect real-world applications for digital twins—because the high costs were well worth the potential benefits it could offer. At least this was true until a few decades ago.
However, as discussed earlier, the cost of sensing, sending, storing, and processing real-world changes in physical entities has become exponentially lower. This opened newer opportunities for several other industries, including the biomedical and agricultural livestock sectors, to also benefit from digital twins.
Around the same time, the research professor Dr Michael Grieves worked with Vickers to adapt the concept of digital twins as a way to improve product lifecycle management PLM in the manufacturing sector [ 12 ]. However, even during this early stage, he touched upon several key properties of digital twins [ 13 ]. In his paper, Grieves spoke about the difference between real and virtual spaces and highlighted the need for the exchange of data and information between the real and virtual entities to mirror each other.
Since , interest in the concept of the digital twin has grown by leaps and bounds. Gartner now includes hyper-automation as the number one key strategic technology trend for , and digital twins are a large part of hyper-automation [ 14 ]. Initiatives such as Digital Futures and the movement towards the Industry 4. In addition to this, several key advances across technologies, such as the Internet of Things IoT , big data, and real-time sensors, have driven costs down.
Together, all this has allowed for several new applications of digital twins that were not possible earlier. A range of sensors can now collect data from a smart device and mirror that state in a digital twin in real-time [ 15 ].
In other words, we now have the technology to make a reasonably accurate digital twin copy that mimics the properties of real-world assets such as but not limited to its shape, status, and movement.
Clearly, the concept is beginning to gain traction, at least among the early adopters. It also projected that this market would grow almost nine-fold to reach USD Today, digital twins are being used across sectors and industries in a number of ways, as shown in Table 1. As one can see from all these examples, there are two common trends. First, digital twins are being applied by industry market leaders across sectors.
Secondly, digital twins are being applied in areas that are mission-critical, because they have the potential to improve or transform their market position significantly. This is because digital twin technology is still its nascent stages.
In other words, it has high learning, experimentation and implementation costs. These projects often cost millions of dollars per year. Therefore, naturally, not many companies can afford such a significant investment into something that may not have immediate payoffs, unless of course, they are market leaders and are looking to further consolidate their leadership. In addition, this helps us to better appreciate their big bets. They want their huge investments to pay off with massive returns.
This is probably why they are going for the big home runs with the digital twin technology. Does this mean that other smaller companies that cannot innovate with digital twins? To understand all this better, here is an analysis about what it means to implement digital twins. As discussed earlier, digital twins are virtual representations of a physical asset. Let us expand on this definition and look at some of the key properties needed to implement a digital twin.
First, to realistically represent a physical asset and mirror its behavior, the twin needs to obtain real-time feedback on how the physical or the biological asset is interacting with its environment, workload and other variables. This requires different sensors that can send and receive specific forms of data via the internet or some other privately secured network.
Second, we need the twin to be able to receive, store and process the large volumes of data in real-time. This requires a significant amount of computing, storage and data processing capacity. In other words, it has to make use of the latest advances in big data, data management and cloud servers.
Third, the twin must be able to make sense of the large volumes of continuously transmitted data. Since this is beyond the computing abilities of most humans, this invariably means using AI algorithms to discern between useful and non-useful information.
It also means using AI algorithms to suggest recommendations and actions. Fourth, the twin must be able to learn about different cause—effect scenarios over time and be able to apply the learnings to improve the performance of the physical asset. This involves running several alternate scenarios, test cases and what-if simulations. Again, this level of complexity is beyond human comprehension. This means that ML algorithms need to be trained under specific circumstances to learn, experiment and evolve the best possible course of action.
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Winston Zeolite is characterized by its high surface area, high surface charge density readily available cation exchange sites , and physical durability. Its high calcium and low sodium content make it preferable in agricultural applications, while its low clay content makes it desirable in water treatment applications. The primary market for St. Our high calcium Winston Zeolite is unique among U. Feed lots and other large concentrations of animals are point sources of a number of effluents, odors, and waste runoff. As such, there is increasing regulatory pressure to mitigate the impact of these facilities. As suburban residential sprawl extends into areas that were previously agricultural lands, Winston Zeolite is increasingly used in to control odor from feedlots, dairies, and other agricultural operations.
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Crime watch groups are calling for broad legal reforms. When a squad of federal and state law enforcement agents with guns and bulletproof vests entered a single-story brick home in Buffalo, New York, on July 5, they were searching for business records of a suspected criminal enterprise. Experts trained to handle dangerous exotic cats congregated in a sunroom pungent with the odor of cat urine. Wearing blue latex gloves, the wildlife handlers carefully collected two young caracals distinguished by their long, black-tipped ear tufts; four juvenile servals, copper-colored with handsome black spots; and an adult savannah cat, a cross between a serval and a house cat. Casacci, who was running the website ExoticCubs. The unauthorized trade in protected wildlife not only violates landmark U. His attorneys, James Grable, Jr. In May , Casacci made the news again. Federal agents searched his Sunbeam Laboratory facility, in Lockport, New York, which made hemp products before the COVID pandemic, when he retrofitted his operations to mass manufacture hand sanitizer.
A virtual farm turns new ground for game developers
ICLG - Mining Laws and Regulations - USA Chapter covers common issues in mining laws and regulations — including the acquisition of rights, ownership requirements and restrictions, processing, transfer and encumbrance, environmental aspects, native title and land rights. The US legal system consists of many levels of codified and uncodified federal, state, and local laws. The US Constitution and federal laws are the supreme law of the land, generally pre-empting conflicting state and local laws. In many legal areas, the different authorities have concurrent jurisdiction, requiring regulated entities to comply with multiple levels of regulation. Mining on federal lands, for example, is generally subject to multiple layers of concurrent federal, state, and local statutes and administrative regulations.
The buzz in Saint-André: An inside look at bitcoin mining in rural New Brunswick
For our next set of virtual experiences, we are highlighting seven diverse resources from the National Partners Preservation Network , an independent organization geared toward strengthening the preservation movement across the country. Programs include talks by architectural historians and authors as well as virtual tours. Hosted by Johns Hopkins, executive director of Baltimore Heritage, these daily videos are a great way to learn about historic sites. Included are virtual tours that enable viewers to explore historically and culturally significant areas, including Chinatown and K-Town , as well as self-guided tours of historic film locations and architectural points of interest in downtown Los Angeles. The books chosen feature stories about architecture and exploration and often include extra activities, such as this reading guide that accommodates their reading of The Shape of the World: a Portrait of Frank Lloyd Wright. If you missed the live event, all the Storytime videos are available on the Conservancy's website for later viewing.
Man Makes Millions Using 'Cow Poop' to Run Cryptocurrency Mining Firm
There are strawberries growing in the village of Neuville, Quebec, in the middle of a Canadian winter. The farm is among a growing number of businesses and individuals turning to crypto mining for supplementary income, but approaching the highly consumptive industry in a carbon-neutral way. Bitcoin is wasteful by design.
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Thanks for a great ! The farm is closed until April 1, Stay tuned for updates on the start of strawberry season. Southern Belle Farm is a family owned acre working farm. We are open seasonally for fresh produce, berry picking, peach picking, fall fun, Christmas trees, and much more! Conveniently located in McDonough, Georgia, just south of Atlanta, Southern Belle Farm provides a wholesome family atmosphere where memorable experiences are made!
For the last several months, the Vancouver-based company Hive Blockchain Technologies has been building four highly specialized warehouses that will host thousands of computers. Those individual computers are known as "miners," and they run 24 hours a day to make their owners bitcoin. Bitcoin is a type of cryptocurrency, a digital form of money that has risen in value and popularity around the globe in the last decade. Instead of a physical currency, bitcoin is strictly digital. Bitcoin also operates without a central banking system. Instead, all bitcoin transactions are tallied on a digital ledger called the blockchain.
He has received the three-year Marie Curie grant for his project. Energy harvesting enables the generation of electricity, for example, from mechanical vibration or friction. Electricity can be generated from the movement of animals to supply power, for example, to collar-mounted devices that track grazing livestock. These smart technologies can also monitor the health and welfare of animals.