Predictive Cropland Data Layer
Description
The purpose of this system is to predict crop rotations.
Detailed example
The system outputs predictions of the types of crops in specific locations within the Conterminous United States (CONUS).
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
Benefits include improving data quality of area-based surveys and providing assistance to field office personnel.
Controls / human review
ATO: No; PIA: Not published
Data needed
The data is derived from Cropland Data Layer (CDL) and Farm Service Agency (FSA) administrative data. CDL is produced using satellite images and extensive agricultural ground reference data.