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 |
|---|---|---|---|---|---|---|
| Wildlife Deterrent System USDA-086 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Axon+ Copilot Studio Chatbot USDA-098 · Research, Education and Economics | USDA | Pilot | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| NWRC ND Field Station Birds and Agriculture Project USDA-100 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC LSS Bioinformatic Coding USDA-101 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Rabies ML A.D. USDA-102 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Rabies ML M.H. USDA-103 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Pepin ML & AI USDA-104 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Genetics Metadata USDA-105 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| GovChat USDA-107 · Research, Education and Economics | USDA | Pilot | Not high-impact | Other | Generative AI | Purchased from vendor |
| Vegetation Specifications Suite (VegSpec) USDA-117 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| NETS automated waterway design USDA-118 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Transportation | Agentic AI | Purchased from vendor |
| Digital Soil Mapping USDA-120 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Annual Soil Refresh Data Staging Server Automation USDA-121 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Information Technology | Computer vision | Purchased from vendor |
| Species Distribution Data analysis USDA-126 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Random Forest with Aquatic Effectiveness Monitoring USDA-131 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest fire effects remote sensing models USDA-132 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Select Tree Mapping USDA-134 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Yearly Incident Procurement Classification Report USDA-135 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| American Recovery Act Classification Tool USDA-136 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Natural language processing | Developed in-house |
| Automated Road Mapping USDA-137 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Bugnet USDA-143 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Recreation site chatbot USDA-144 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Natural language processing | Contract and in-house |
| Forest Mapping using G-LiHT airborne data in interior Alaska USDA-146 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest Health Protection: Survey and mapping of forest damage from insects and diseases using machine learning USDA-148 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Predicting fire severity potential in future wildfires in California USDA-151 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Forest Inventory and Cruising using GAIA AI USDA-152 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Purchased from vendor |
| App for predicting soil temperature during prescribed burns USDA-154 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Wildfire effects and postfire forest dynamics USDA-155 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest habitat mapping for marbled murrelets USDA-157 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Purchased from vendor |
| Washington state forest inventory maps USDA-158 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Energy and the Environment | Classical / predictive ML | Contract and in-house |
| Long-term monitoring of northern spotted owl habitat and populations USDA-160 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Fire Containment Suitability (FireCON) USDA-162 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Potential Control Location Suitability USDA-163 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Alisha OCR Reader USDA-164 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| VegScape/CropCASMA Data Portals USDA-172 · Research, Education and Economics | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| AI for Environmental Permitting Review USDA-175 · Office of the Chief Information Officer | USDA | Pilot | Presumed high-impact, determined not | Energy and the Environment | Natural language processing | Developed in-house |
| Equine Operations and Populations Dataset for the U.S. USDA-065 · Marketing and Regulatory Programs | USDA | Pre-deployment | Not high-impact | Emergency Management | Classical / predictive ML | Contract and in-house |
| NASSportal Intranet Agent USDA-068 · Research, Education and Economics | USDA | Pre-deployment | Not high-impact | Administrative Functions | Agentic AI | Contract and in-house |
| Incident Invoice Document Understanding USDA-070 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Emergency Management | Classical / predictive ML | Contract and in-house |
| Forest disease detection and screening USDA-071 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Use of LLMs for data extraction USDA-072 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Generative AI | Developed in-house |
| Markov random fields for mixed forests USDA-088 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| IOL Focus Group and Survey Sensemaking USDA-090 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Natural language processing | Purchased from vendor |
| Predictive Modeling of Invasive Pest Species USDA-004 · Marketing and Regulatory Programs | USDA | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Aquisition Approval Request Compliance Tool USDA-026 · Office of the Chief Information Officer | USDA | Pre-deployment | Not high-impact | Information Technology | Natural language processing | Not reported |
| Conservation Effects Assessment Project USDA-037 · Farm Production and Conservation | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Digital Imagery (no-change) for NRI Program USDA-038 · Farm Production and Conservation | USDA | Pre-deployment | Not high-impact | Science | Computer vision | Not reported |
| Portfolio Approval and Management (PAM) Bot USDA-049 · Research, Education and Economics | USDA | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Not reported |
| Rapid Drafting of ARS Research Summaries USDA-058 · Research, Education and Economics | USDA | Pre-deployment | Not high-impact | Science | Generative AI | Not reported |
| DS Hub Geo-metadata generation USDA-059 · Farm Production and Conservation | USDA | Pre-deployment | Not high-impact | Information Technology | Generative AI | Not reported |