AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| Forest Health Detection Monitoring USDA-021 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| XyloTron/XyloPhone Wood Identification System USDA-069 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Wildlife Deterrent System USDA-086 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Select Tree Mapping USDA-134 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Automated Road Mapping USDA-137 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Google Cloud Vision [2024 INV#WO0000000154445] DOI-0243 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Purchased from vendor |
| Google Vertex AI Document workbench [2024 INV#WO0000000154393] DOI-0242 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Purchased from vendor |
| Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies [2024 INV#WO0000000108262] DOI-0182 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Lake-wide monitoring and assessment of Great Lakes fisheries with autonomous vehicles and image analysis DOI-0113 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Using deep learning to classify potential piping plover habitat along the Upper Missouri River DOI-0094 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Automated photographic identification of Eastern box turtles DOI-0073 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Automated power line extraction using deep learning DOI-0062 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Spot for automated sensing, inspection, and capture DOE-435 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
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