DAVIS, Calif., Sept. 18, 2024 /PRNewswire/ — LandScan, the worldwide chief in digital twins in agricultural know-how and precision farming options, is proud to announce the grant of its newest patent, (US 12,092,625), titled “Precision Web site Characterization Utilizing Digital Twin”. This groundbreaking patent marks the primary of its sort within the agriculture sector, involving using digital twin know-how to revolutionize web site characterization and precision farming practices.
A New Period in Agriculture
The arrival of digital twin know-how in agriculture represents a big leap ahead in how farmers, agronomists, and researchers perceive and handle cropping programs. Digital twins are digital fashions that precisely replicate bodily objects and/or environments, permitting for in-depth evaluation, simulation, and modeling with out interfering with real-world operations. By making use of this know-how to agriculture, LandScan is empowering determination assist to optimize precision farm administration, enhance crop yields, and objectively and quantitatively measure the outcomes of regenerative agricultural practices.
“We’re thrilled to have secured this patent, which solidifies our place because the pioneer in agricultural digital twin know-how,” mentioned Dan Rooney, CEO of LandScan. “Our know-how for precision web site characterization and evaluation will present unprecedented insights into agricultural environments, serving to farmers make extra knowledgeable selections, scale back useful resource use, improve productiveness, and supply goal metrics for soil well being and sustainability baselining and monitoring.”
The Digital Twin Patent
The newly patented know-how leverages a mixture of superior and distinctive soil and distant sensing applied sciences, machine studying and AI, and simulation strategies to create a digital and goal illustration of an agricultural web site and farming system.
Key options of the patent embody:
Excessive-Decision Knowledge Evaluation: Using knowledge from a number of sources, together with satellite tv for pc imagery, drones, and floor sensors, the digital twin supplies a high-resolution evaluation of the location. This allows exact monitoring of dynamic soil situations together with fertility and chemistry, moisture ranges, and crop well being.
Predictive Modeling: The digital twin permits for predictive modeling of varied farming situations. By simulating totally different planting, irrigation, and fertilization methods, farmers can optimize their practices for max yield and useful resource effectivity.
Dynamic Adaptation: As situations change over time attributable to climate or different environmental elements, the digital twin adapts to mirror these modifications, offering up-to-date data and suggestions for web site administration.
Integration with Precision Farming Instruments: The know-how may be built-in with current precision farming instruments, akin to GPS-guided gear and variable fee know-how (VRT), to execute site-specific administration practices seamlessly.
Sustainability and Useful resource Administration: By enabling extra environment friendly use of water, fertilizers, and different inputs, the digital twin allows regenerative farming practices and helps scale back the environmental affect of agriculture.
Business Adoption and Impression
The introduction of digital twin know-how into agriculture is reworking the business by offering a extra detailed, goal, and dynamic understanding of cropping programs. Conventional strategies of web site characterization, akin to lab-based soil sampling and area scouting, are labor-intensive, time-consuming, and restricted in scope, accuracy, and repeatability. Using digital twins permits for a extra holistic and steady evaluation of the location, main to higher decision-making and useful resource administration.
Olam Meals Components (OFI), a world-leading nut provider, has been an early adopter of LandScan’s know-how. “LandScan’s digital twin know-how has had a big and sensible affect on our almond manufacturing within the US with fast and measurable ROI, and we’re enthusiastic about its growth into our Australian operations in 2025,” mentioned Zac Ellis, OFI Senior Director of Agronomy.
Equally, Mars has been working carefully with LandScan to combine digital twin know-how into their operations. “Mars is worked up to start working with LandScan’s digital twin know-how for the aim of optimizing worldwide cocoa manufacturing and offering necessary soil well being sustainability metrics for our provide chain,” mentioned Greg Hocking, VP International R&D New Innovation Territories at Mars Wrigley.
Future Functions and Developments
LandScan’s patented know-how platform creates a variety of potentialities for future functions and developments in agriculture. Past its fast use in precision web site characterization, digital twin know-how has the potential to be utilized to different facets of farming, akin to provide chain traceability and understanding the connection between crop genetics, the rising setting, and administration practices. By constantly refining and increasing the capabilities and mental property portfolio round digital twins, LandScan intends to remain on the forefront of innovation in agricultural know-how.
“We see this patent as just the start,” added Dan Rooney. “Our objective is to additional develop and combine digital twin know-how throughout all facets of farming, creating a totally linked and clever agricultural ecosystem.”
