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 |
|---|---|---|---|---|---|---|
| Repair Spend USDA-001 · Research, Education and Economics | USDA | Deployed | Not high-impact | Procurement and Financial Management | Natural language processing | Contract and in-house |
| NAL Automated Indexing USDA-003 · Research, Education and Economics | USDA | Deployed | Not high-impact | Science | Natural language processing | Contract and in-house |
| Democratizing Data USDA-009 · Research, Education and Economics | USDA | Deployed | Not high-impact | Service Delivery | Natural language processing | Contract and in-house |
| 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 |
| Video Surveillance System USDA-025 · Office of Safety, Security, and Protection | USDA | Deployed | High-impact | Administrative Functions | Computer vision | Contract and 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 |
| Approximate String Matching (aka fuzzy matching) to Standardize Data USDA-032 · Marketing and Regulatory Programs | USDA | Deployed | Not high-impact | Service Delivery | Natural language processing | Developed in-house |
| Automated PDF Document Processing and Information Extraction USDA-033 · Marketing and Regulatory Programs | USDA | Deployed | Not high-impact | Administrative Functions | Natural language processing | 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 |
| Dam Inspection Report Document Processing USDA-048 · Farm Production and Conservation | USDA | Deployed | Presumed high-impact, determined not | Administrative Functions | Computer vision | Developed in-house |
| GIS Invasive Tree Extraction for Field Level Users USDA-050 · Farm Production and Conservation | USDA | Deployed | Not high-impact | Energy and the Environment | Computer vision | 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 |
| ROE Document Recognition - RoeDR USDA-053 · Farm Production and Conservation | USDA | Deployed | Not high-impact | Government Benefits Processing | Natural language processing | 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 |
| ProcureSight USDA-097 · Departmental Administration | USDA | Deployed | Not high-impact | Procurement and Financial Management | Generative AI | Purchased from vendor |
| ARGUS AI Supply Chain Interference USDA-106 · Office Of Homeland Security | USDA | Deployed | Not high-impact | International Affairs | Agentic AI | Purchased from vendor |
| Policy Analysis USDA-138 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Turbo plan USDA-139 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Energy and the Environment | Generative AI | Purchased from vendor |
| Forest Plan review and planning support USDA-140 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| TreeSearch USDA-141 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Energy and the Environment | Generative AI | Contract and in-house |
| Infosec Chatbot USDA-142 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Cybersecurity | Generative AI | Contract and in-house |
| Recreation One Stop use of AI USDA-165 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Service Delivery | Generative AI | Purchased from vendor |
| LANDFIRE USDA-167 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| NRE FS Customer Relationship Manager New Hire Experience (NRE FS CRM NHE) CSAM ID 2639 USDA-168 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Human Resources | Generative AI | Purchased from vendor |
| Chatbot for IT Customer Help Desk USDA-177 · Office of the Chief Information Officer | USDA | Deployed | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| LCAT - Land Change Analysis Technique USDA-011 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Raster Tools USDA-017 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest Health Detection Monitoring USDA-021 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Genomic Analyses of Pathogen Subtypes USDA-043 · Food Safety | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Foodborne Illness Source Attribution USDA-044 · Food Safety | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| FSA FLP Chatbot USDA-052 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Service Delivery | Generative AI | Contract and in-house |
| File Rename USDA-057 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| XyloTron/XyloPhone Wood Identification System USDA-069 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Fire Resilient Landscapes USDA-074 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Spread and Balance Sample Design USDA-076 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Regression, Classification, Clustering with Hilbert Curves USDA-077 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
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