Systems and methods for diagnosing soil characteristics and subterranean plant characteristics
AssigneeGroundTruth Ag, Inc.
InventorsJohn Richard Anderson, Jr., Graham Hunter Bowers
Life of this patent
Estimating the term…
Abstract
Methods, systems and devices for mobile detection of soil compaction and soil characteristic data are provided. Operations include causing a subsurface portion of soil at a compaction detection location to be disrupted using compressed air, generating disruption data corresponding to the disruption of the subsurface portion of the soil at the compaction detection location, generating geographic location data corresponding to the compaction detection location, receiving the geographic location data from the location device and the disruption data from the disruption sensor and associating the geographic location data with the disruption data.
Claims19
A system comprising:
- a soil disruption device that is configured to cause a disruption of a subsurface portion of soil at a compaction detection location;
- a disruption sensor that is configured to generate disruption data corresponding to the disruption of the subsurface portion of the soil at the compaction detection location;
- a location device that is configured to provide geographic location data corresponding to the compaction detection location;
- and
- a processor circuit that is configured to receive the geographic location data from the location device and the disruption data from the disruption sensor and to associate the geographic location data with the disruption data, wherein the processor circuit comprises machine learning computer program product that, when executed by the processing circuit, generates machine learning operations that are configured to generate three-dimensional soil compaction and tilth maps using data corresponding to injection of compressed air and laser vibrometry.
A method comprising:
- causing a subsurface portion of soil at a compaction detection location to be disrupted using injected compressed air;
- generating disruption data using laser vibrometry, the disruption data corresponding to the disruption of the subsurface portion of the soil at the compaction detection location;
- generating geographic location data corresponding to the compaction detection location;
- receiving the geographic location data from the location device and the disruption data from the disruption sensor;
- associating the geographic location data with the disruption data, and
- generating machine learning operations to generate three-dimensional soil compaction and tilth maps using data corresponding to the injection of compressed air and laser vibrometry.
Dependencies are inferred from the claim text.