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 |
|---|---|---|---|---|---|---|
| Ecosystem Management Decision Support System (EMDS) USDA-014 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Contract and in-house |
| TreeMap and FuelMap (all versions) USDA-018 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Landscape Change Monitoring System (LCMS) USDA-019 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Cropland Data Layer USDA-022 · Research, Education and Economics | USDA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| List Frame Deadwood Identification USDA-023 · Research, Education and Economics | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Operational Water Supply Forecasting for Western US Rivers USDA-027 · Farm Production and Conservation | USDA | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Developed in-house |
| Census of Agriculture Propensity Scores via Machne Learning USDA-035 · Research, Education and Economics | USDA | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Developed in-house |
| Nutrition Education & Local Access Dashboard USDA-039 · Food, Nutrition, and Consumer Services | USDA | Deployed | Not high-impact | Government Benefits Processing | Classical / predictive ML | Contract and in-house |
| Survey Outlier Detection Model USDA-041 · Research, Education and Economics | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Rangeland Analysis Platform USDA-046 · Research, Education and Economics; Farm Production and Conse | USDA | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Contract and in-house |
| Predictive Cropland Data Layer USDA-047 · Research, Education and Economics | USDA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| DISTRIB-II: Habitat Suitability of Eastern United States Tree USDA-051 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| US Poultry and Operations Dataset USDA-064 · Marketing and Regulatory Programs | USDA | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| County-Level Remotely-Sensed Corn and Soybean Yield Estimation USDA-067 · Research, Education and Economics | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| The Big Data, Mapping, and Analytics Platform (BIGMAP) Project USDA-079 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| BirdNET to detect bird vocalizations for research and species monitoring USDA-080 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Predictive flood modeling USDA-082 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Transportation | Classical / predictive ML | Developed in-house |
| AI for regional forest mapping and monitoring USDA-089 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Contract and in-house |
| Esri ArcGIS Pro Deep Learning Modules USDA-091 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Policy Analysis USDA-138 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| LANDFIRE USDA-167 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
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