Digital twin technology enables smarter, safer and more sustainable farming
CONDON, Ore., United States, Oct. 15, 2022 /EINPresswire.com/ — Wouldn’t it be nice if everyone had a virtual representation of themselves living in the cloud? Signs can be looked up online, reducing the need to visit a doctor. Shopping for clothes will also be much easier. Shoppers were able to try it on in her online copy to see how it looked and fit. Digital duplicity also makes the collection of valuable personal data routine.
Digital twins for individuals may not yet be widely available, but they are driving positive disruption across industries.
The concept of a digital twin was first conceived by science fiction writers in the 1990s, but became a reality in 2010 when NASA developed a full physical model simulation of one of its spacecraft. The goal of this project was to create a virtual representation of a physical object that received real-time input from sensors and other data sources so that the digital version would change in lockstep with the original (physical twin).
Strengthen the physical with digital skills
The rationale for that first experiment was to be able to monitor physical objects around the clock, simulate changes, and test new integrations (the time, money, and No human resource cost). Notify predictive maintenance (predict failures so they can be repaired before they occur).
In the decade-plus since its early experiments, digital twin technology has grown and adapted to a variety of applications ranging from automotive manufacturing, healthcare, supply chain management, and even agriculture. Gartner estimates that a full half of all large enterprises use some form of digital twin in their workflows, the one with a 10% improvement in operational efficiency over rivals who don’t.
Implementations vary widely, but generally it works by equipping the physical twin with sensors that monitor key functional factors such as temperature, humidity, and energy usage. That sensor data is sent to a cloud-based processing model that interprets it and applies it to the digital twin.
Recent advances in Internet of Things (IoT) technology have lowered the cost of internet-connected sensors and expanded the opportunities to take information from the factory or field and move it to the cloud, making it much easier to access and analyze. I was. This means that not only foremen and farmers, but also data analysts, stakeholders, partners, customers, and everyone involved in the supply chain are up to date.
cloud farming
One of the main benefits of implementing a digital twin system, especially for farmers, is that the timeframes of agricultural environments are often measured in long units such as months or seasons. Testing changes in soil input in a physical field is never instantaneous. It may take several weeks before you see meaningful results. A digital system can perform the same test in minutes.
Benefits of digital twins in agriculture
・Large yield in the same area
-Maximize profitability
– Improved resilience to weather
-More sustainable operations
-Faster time to market
Using digital twins to analyze how changing weather patterns affect yields, agricultural operations can save costs by reducing agricultural inputs (without negatively impacting crop quality). and can simulate whether they can reduce harm to ecosystems. Look for warning signs such as discolored leaves, the presence of blight and pests, over-irrigation, and depleted carbon in the soil. And you can react fast enough to react before too much damage is done. Even better, you can use predictive modeling based on past and present data to infer what is likely to happen in the near future and avoid it.
The data that powers digital twins has already proven invaluable to agricultural businesses around the world. For example, Belgian agricultural technology company 2Grow is helping partners measure things like stem width with their own sensors. Stem thickness is a good indicator of water flow within the plant, and 2Grow claims that the sensor allows tomato farmers to reduce the surface area and water requirements of tomato plants by as much as 20%.
Utilization of remote sensing at agricultural sites
Despite the many benefits, the process of implementing a digital twin system in agriculture can be burdensome, requiring the deployment of a large number of diverse IoT sensors throughout the farm. However, farmers have found some smart shortcuts, like attaching image sensors to irrigation hubs. Irrigation systems are inevitably already in operation on most farms, providing a practical existing platform to piggyback on.
agriculture data source
-expected yield
-Inputs (fertilizer, water, sunlight, etc.)
-Soil carbon level
-Field imaging
– Weather history and forecast
The digital revolution in agriculture has come at just the right time. For generations, institutional knowledge was siled to individual farmers. These new digital systems are democratizing access and accelerating scientific advances to grow great crops.
“Light, plant nutrition, air, gas accumulation, water recycling, weather conditions, rain – the combinations are endless and every stage of growth is different,” says Dave Scott of Intelligent Growth Solutions, an agricultural IoT company. explains. “Plant science is greatly misunderstood. We understand how fish work better than plants.”
Moreover, despite the advent of high-tech tools such as GPS monitoring, drone flyovers, satellite imagery, and laser surveying, the goals of true precision farming and digital farm management are still out of reach for many. . “Precision agriculture is not very precise,” says Soumik Sarkar, of Iowa State University’s Resilient Agriculture Artificial Intelligence Laboratory.read more
Fred Parent
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