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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
USDA · USDA-023 · record R1328

List Frame Deadwood Identification

Department of Agriculture · Research, Education and Economics

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2016-02-03 (day precision)Source: 2/3/2016
Withheld from public reporting
Not reported

Mission

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

Problem the AI is intended to solve

This model helps identify farms that may be out of business on the National Agricultural Statistics Service list. Parts of the model were used to create clear rules to identify these farms.

Expected benefits

The resulting list is more accurate and allows for smaller sample sizes, reducing the burden on respondents.

System outputs

The output of the model was a probability score that a farm is out of business.

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)
Research, Education, and Economics (REE) - National Agricultural Statistics Service (NASS) - Citrix Environment
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
Vendor (as reported)
Not reported
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
Yes
Privacy Impact Assessment
Not reported
Authorization to Operate
Yes
Demographic features
c) Age; i) Income
Training and evaluation data
National Agricultural Statistics Service List frame and survey data, consisting of features put together to form profiles of farming operations, was used to train and validate the model.
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