How much water is in the root zone of a field AND is available for the roots? The #Digitalsoilcore (DSC) is uniquely capable of practically and efficiently answering this question. LandScan produces the Root Zone Plant Available Water information product for optimized irrigation design and dynamic management.
Talk about ‘deep learning’ in agriculture! PedonView is one of the many ways to utilize the Digital Soil Core (DSC) for visualizing, analyzing, and understanding site characteristics. These data cubes contain dozens of unique information dimensions for deep machine learning and are a powerful contribution to the Platform for Discovery.
Every day a new discovery with the Digital Soil Core (DSC)! Look what we found in a vineyard in California. What are we looking at? Our pixel resolution is 3 microns.
LandScan is the pioneer in subsurface hyperspectral remote sensing. The Digital Soil Core (DSC) has 7 sensors that are used to characterize the soil environment in true 3D. Sensor fusion combined with machine learning can produce astonishing results. In this image we can classify different minerals, quantify porosity, identify redoximorphic features and concretions, and much
It is fascinating to be able to see what is happening in the soil in real-time and in-situ using the Digital Soil Core (DSC). The powerful and unique analytics enabled by this tool are game-changing! Today from an almond orchard in California. We can see roots, soil grains, minerals, and more. We can learn and
So much can be learned about a soil profile in 90 seconds using the Digital Soil Core (DSC) including a full 3D scan of porosity, structure,texture, salinity, color, and numerous attributes related to the soil water/fertilizer/chemistry/microbiome relationship.
It is now possible to digitally characterize the soil profile in 1 cm increments for dozens of soil properties in-situ in about 90 seconds. The Digital Soil Core (DSC) contains 7 sensors that obtain continuous measurements of soil properties including texture, structure, porosity, organic matter, density, moisture, salinity, and many others. Data from multiple sensors
Introducing the LandScan Digital Vegetation Signature (DVS) analytics dashboard. It’s more than cool pictures, these data are the result of spatially, spectrally, and thermally calibrated high-resolution imagery that enables true temporal analysis. These many independent information dimensions power deep machine learning and when combined with the Digital Soil Core (DSC) data creates a quantitative understanding
LandScan is pioneering LIDAR analytics as part of our Digital Vegetation Signature (DVS) technology. These metrics, when combined with other spatial, spectral and thermal data obtained from drones is used in conjunction with the Digital Soil Core (DSC) to discover relationships between plant performance and behavior and the growing environment.
Check out this ‘dirty video’ from the LandScan Digital Soil Core (DSC) tool from an almond orchard in California. One of the DSC’s seven sensors obtains in-situ, super high resolution digital imagery of the entire soil profile in about a minute at a resolution of 3 microns! You can see roots, critters, pores, grains, structure,
The Digital Soil Core (DSC) is a 7-sensor penetrometer. We will write about each sensor over time, but the best place to start is at the bottom. I left the geotechnical site investigation industry in 1997 in order to pursue the idea that the penetrometer sensors used to delineate deep stratigraphy could be miniaturized to
Those were the exact famous words spoken from Apollo 13 on April 13, 1970, when a series of catastrophic failures jeopardized the mission and the lives of the crew as they floated in space 210,000 miles from Earth. It was more good planning than fortune that saved the astronauts, as NASA had an exact replica
It was the first day of 10th grade and, as I entered my English class, I was greeted by a single word written in huge letters on the chalkboard: sophomoric. Beside it was its definition: foolishly wise. The definition stuck with me, but more importantly, my teacher’s point; that we weren’t as smart as we
