Our team has created the first ever digital twin of the soil microbiome for G.E.M. analysis. Objective and rapid scans of the entire soil profile trained using the hashtag#digitalsoilcore sensors and deep machine learning to predict and quantify the soil micro-biometric environment and populations. More than a century ago, Dutch microbiologist Martinus Beijerinck helped frame

What makes our drone imagery unique? Just look. Those different colors are data from only fully sunlit pixels. Cover crops are filtered (and analyzed separately) and shade and dead branches removed. Calibrated at the pixel scale and combined with 3D photogrammetry. Collected over large areas quickly. hashtag#digitalvegetationsignature This isn’t a ‘can’t see the forest for

The team at LandScan are the pioneers of the widely used GEM framework (Crop Performance = Genetics x Environment x Management) and have deployed it to real customers around the world since 2003. The GEM framework has become an accepted and widely utilized model in hashtag#digitalagriculture. It’s in university lectures, company pitches and strategies, and

This was the cover of the Soil Science Society of America (SSSA) journal 25 years ago. It was a complete shock to see my PhD research at the University of Wisconsin-Madison on the cover of this important scientific journal. It was then, and amazingly still is, a novel way of examining the soil profile in-situ.

Today is World Soil Day. Without this thin, living layer of soil – this reusable natural resource – life as we know it fails. Soils are 3D profiles. Every layer and attribute matters. LandScan has developed and provides services to install our #digitaltwin technology on two continents. A key component is our #digitalsoilcore (DSC), which

Important advancements by LandScan with our high resolution satellite product. These images have super-cleaned 30cm pixels and when combined with our unique image processing we produce our LandScan Vegetation Index (LSVI). You can see that even with the same superior satellite imagery that the LSVI outperforms the NDVI. The resolution of the canopy is incredible!

LandScan is pioneering AI/ML in agriculture through our #digitaltwin technology. The Root Cause Analytics (RCA) system interactive software combines analytical quality remote sensing with unique, high spatial and information resolution soil data. The result is accurate, realistic, and practical insights that can be immediately put into practice with a measurable ROI.

The inaugural Unreasonable Food Cohort gathering is a wrap https://unreasonablegroup.com/initiatives/unreasonable-food. Please check out this video with LandScan’s CEO Dan Rooney, PhD from that gathering produced and posted by the Unreasonable Group. https://www.linkedin.com/feed/update/urn:li:activity:7221167458471051264

Optimize crop nutrition while saving money and reducing GHG. The practical utility of the LandScan #digitaltwins has immediate, quantifiable ROI.

“If you can’t measure it, you can’t manage it”. Never more true than it is with soil information and improving crop performance and optimization. LandScan is leading the way. A podcast with Zac Ellis from Olam

Our technology is the only #agtech capable of inspecting the soil profile for the presence (or lack of) roots. Knowledge about roots and their distribution in the soil profile is a cornerstone of optimized agricultural production, #soilhealth, and #sustainableagriculture.

Interesting in-situ image from deep in the soil profile courtesy of the Digital Soil Core (DSC). What is it? #digitalsoilcore #ii4ag #soilhealth #agtech #soilscience #subsurfaceremotesensing Learn more: https://landscan.ai/platform/digital-soil-core/

LandScan has millions and counting of high resolution digital images of full soil profiles. We call it subsurface remote sensing. Just imagine how informative these data are! Learn more: https://landscan.ai/platform/digital-soil-core/ #digitalsoilcore #ii4ag #digitalagriculture #agtech

The Digital Soil Core (DSC) has been an integral part of LandScan’s very busy fall. We’ve collected millions of subsurface remote sensing images of complete soil profiles around California to help build our digital twins for optimizing crop irrigation and nutrition. We also learn a tremendous amount about soil health and organic matter not to