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 |
|---|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| Esri ArcGIS Pro Deep Learning Modules USDA-091 · Natural Resources and Environment | USDA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed 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 |
| 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 |
| 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 |
| 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 |
| Digital Soil Mapping USDA-120 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| 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 |
| Bugnet USDA-143 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | 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 |
| 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 |
| 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 |
| VegScape/CropCASMA Data Portals USDA-172 · Research, Education and Economics | USDA | Pilot | Not high-impact | Science | 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 |
| 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 |
| Conservation Effects Assessment Project USDA-037 · Farm Production and Conservation | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| NASS Automated Editing Tool USDA-066 · Research, Education and Economics | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Forest based and boosted classification and regression methods USDA-123 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| MaxEnt/ENMeval models of habitat suitability USDA-124 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| A wetland-based habitat suitability model for Spotted Turtles in West Virginia USDA-127 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Projected contemporary habitat distribution and quality for wood turtles in the midwestern United States USDA-128 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Amphibians reveal unexpectedly large differences in potential environmental change responses among ecologically similar habitat specialists USDA-129 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Projected future changes in the geographic distributions of the threatened Plethodon nettingi and a potential competitor USDA-130 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Timber products output Sample Design Evaluation and Enhancement USDA-166 · Natural Resources and Environment | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Preseason Corn and Soybeans Forecasts USDA-170 · Research, Education and Economics | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Farm Services Agency (FSA) Acreage Coverage Evaluation USDA-171 · Research, Education and Economics | USDA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
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