Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
USDA · USDA-065 · record R1366

Equine Operations and Populations Dataset for the U.S.

Department of Agriculture · Marketing and Regulatory Programs

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2024-09-01 (day precision)Source: 9/1/2024
Withheld from public reporting
Not reported

Mission

Topic area
Emergency Management
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The purpose of this case is to develop a dataset that addresses the problem of not having complete information about where horse farms are located and how many horses they have.

Expected benefits

Developing this dataset/model provides detailed data on horse farm locations and populations, which is essential for emergency preparedness and response and for predicting the spread of equine (horse or members of the horse family) diseases.

System outputs

Output is a national-level dataset of domestic horse operations and estimated populations.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Not reported
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported)
Colorado State University
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
Demographic features
k) None of the above
Training and evaluation data
The data is created from National Agriculture Imagery Program (NAIP) images and the National Agricultural Statistics Service (NASS) Census of Agriculture, which includes number of farms by size and type, inventory and values for crops and livestock, producer characteristics, and much more.
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported