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OMB Individually Reported

Cropland Data Layer

Low riskExact public inventory row

Description

Generating agricultural statistics

Detailed example

Outputs are acreage estimates (internal use) and agriculture-specific land cover product (external use).

AI / analytics pattern

Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.

Automation level / stage

c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

Expected benefit

This project produces supplemental estimates of crop acreage for internal use and releases geospatial data products to the user community.

Controls / human review

ATO: Yes; PIA: Not published

Data needed

USDA/Farm Service Agency Common Land Unit data are used for training and testing, consisting of Geographic Information System (GIS) shapefiles and associated 578 attribute data.

Source

OMB 2025 Federal Agency AI Use Case Inventory

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