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LandScan Secures First Precision Ag Digital Twin Patent

Cindy Zimmerman

Precision ag technology company LandScan announces the industry’s first digital twin patent, involving the use of digital twin technology to revolutionize site characterization and precision farming practices.

The advent of digital twin technology in agriculture represents a significant leap forward in how farmers, agronomists, and researchers understand and manage cropping systems. Digital twins are virtual models that accurately replicate physical objects and/or environments, allowing for in-depth analysis, simulation, and modeling without interfering with real-world operations. By applying this technology to agriculture, LandScan is empowering decision support to optimize precision farm management, improve crop yields, and objectively and quantitatively measure the outcomes of regenerative agricultural practices.

“We are thrilled to have secured this patent, which solidifies our position as the pioneer in agricultural digital twin technology,” said Dan Rooney, CEO of LandScan. “Our technology for precision site characterization and analysis will provide unprecedented insights into agricultural environments, helping farmers make more informed decisions, reduce resource use, increase productivity, and provide objective metrics for soil health and sustainability baselining and monitoring”.

Rooney says the newly patented technology leverages a combination of advanced and unique soil and remote sensing technologies, machine learning and AI, and simulation techniques to create a virtual and objective representation of an agricultural site and farming system.

“We see this patent as just the beginning,” he adds. “Our goal is to further develop and integrate digital twin technology across all aspects of farming, creating a fully connected and intelligent agricultural ecosystem.”

Click here to read more about this new technology.

For more information about LandScan visit www.landscan.ai or connect with us on LinkedIn at www.linkedin.com/company/landscan/.

AgWired Precision, AI, Precision Agriculture, Technology