Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: agency = USDA; topic = Science; AI type = classical_ml

Generated 2026-10-12 20:35 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: agency = USDA; topic = Science; AI type = classical_ml · 45 records

Key findings

45 use-case records from 1 agencies: 6 deployed (13%), 26 pilots, 13 in development or acquisition, 0 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
0% of reported deployed use cases (0 of 6) are classified as generative or agentic AI.
Sourcing is reported for 76% of use cases. Where reported, 94% involve in-house development.

Lifecycle

Stage	Records	Share
Deployed	6	13%
Pilot	26	58%
Pre-deployment	13	29%

AI technology

Classification	Records	Share	Deployed
Classical / predictive ML	45	100%	6

Agencies

Agency	Records	Deployed	High-impact	Completeness
USDA · Department of Agriculture	45	6	0	90%

High-impact designation

Designation	Records
Not high-impact	45

Governance evidence: use cases designated high-impact

Practice	In place	In progress	Not in place	N/A or precluded	Other	No answer	In scope
Pre-deployment testing	0	0	0	0	0	0	0
AI impact assessment	0	0	0	0	0	0	0
Independent review	0	0	0	0	0	0	0
Ongoing monitoring	0	0	0	0	0	0	0
Operator training	0	0	0	0	0	0	0
Fail-safe	0	0	0	0	0	0	0
Appeal process	0	0	0	0	0	0	0
User and public consultation	0	0	0	0	0	0	0

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

First 40 of 45 records, deployed first. The full list is available as CSV from the explorer with the same filters.

Record	Agency ID	Agency	Use case	Stage
R1324	USDA-018	USDA	TreeMap and FuelMap (all versions)	Deployed
R1325	USDA-019	USDA	Landscape Change Monitoring System (LCMS)	Deployed
R1327	USDA-022	USDA	Cropland Data Layer	Deployed
R1352	USDA-051	USDA	DISTRIB-II: Habitat Suitability of Eastern United States Tree	Deployed
R1379	USDA-079	USDA	The Big Data, Mapping, and Analytics Platform (BIGMAP) Project	Deployed
R1390	USDA-091	USDA	Esri ArcGIS Pro Deep Learning Modules	Deployed
R1319	USDA-011	USDA	LCAT - Land Change Analysis Technique	Pilot
R1323	USDA-017	USDA	Raster Tools	Pilot
R1339	USDA-037	USDA	Conservation Effects Assessment Project	Pre-deployment
R1345	USDA-043	USDA	Genomic Analyses of Pathogen Subtypes	Pilot
R1346	USDA-044	USDA	Foodborne Illness Source Attribution	Pilot
R1367	USDA-066	USDA	NASS Automated Editing Tool	Pre-deployment
R1372	USDA-071	USDA	Forest disease detection and screening	Pre-deployment
R1375	USDA-074	USDA	Fire Resilient Landscapes	Pilot
R1377	USDA-076	USDA	Spread and Balance Sample Design	Pilot
R1378	USDA-077	USDA	Regression, Classification, Clustering with Hilbert Curves	Pilot
R1387	USDA-088	USDA	Markov random fields for mixed forests	Pre-deployment
R1398	USDA-100	USDA	NWRC ND Field Station Birds and Agriculture Project	Pilot
R1399	USDA-101	USDA	NWRC LSS Bioinformatic Coding	Pilot
R1400	USDA-102	USDA	NWRC Rabies ML A.D.	Pilot
R1401	USDA-103	USDA	NWRC Rabies ML M.H.	Pilot
R1402	USDA-104	USDA	NWRC Pepin ML & AI	Pilot
R1403	USDA-105	USDA	NWRC Genetics Metadata	Pilot
R1418	USDA-120	USDA	Digital Soil Mapping	Pilot
R1421	USDA-123	USDA	Forest based and boosted classification and regression methods	Pre-deployment
R1422	USDA-124	USDA	MaxEnt/ENMeval models of habitat suitability	Pre-deployment
R1424	USDA-126	USDA	Species Distribution Data analysis	Pilot
R1425	USDA-127	USDA	A wetland-based habitat suitability model for Spotted Turtles in West Virginia	Pre-deployment
R1426	USDA-128	USDA	Projected contemporary habitat distribution and quality for wood turtles in the midwestern United States	Pre-deployment
R1427	USDA-129	USDA	Amphibians reveal unexpectedly large differences in potential environmental change responses among ecologically similar habitat specialists	Pre-deployment
R1428	USDA-130	USDA	Projected future changes in the geographic distributions of the threatened Plethodon nettingi and a potential competitor	Pre-deployment
R1429	USDA-131	USDA	Random Forest with Aquatic Effectiveness Monitoring	Pilot
R1430	USDA-132	USDA	Forest fire effects remote sensing models	Pilot
R1441	USDA-143	USDA	Bugnet	Pilot
R1444	USDA-146	USDA	Forest Mapping using G-LiHT airborne data in interior Alaska	Pilot
R1446	USDA-148	USDA	Forest Health Protection: Survey and mapping of forest damage from insects and diseases using machine learning	Pilot
R1450	USDA-152	USDA	Forest Inventory and Cruising using GAIA AI	Pilot
R1452	USDA-154	USDA	App for predicting soil temperature during prescribed burns	Pilot
R1453	USDA-155	USDA	Wildfire effects and postfire forest dynamics	Pilot
R1455	USDA-157	USDA	Forest habitat mapping for marbled murrelets	Pilot

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory