Planting Date Detection
Description
The agency needs to independently check and confirm the planting dates reported by farmers to ensure the integrity of their programs. Maps containing planting dates are made using satellite images and models of plant growth, which help to find out the planting dates for corn, soybean, and winter wheat on farms in the U.S. Midwest.
Detailed example
The output is an annual map of planting dates for corn, soybean, and winter wheat.
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
This data helps the agency independently check and confirm the planting dates reported by farmers to ensure the integrity of their programs, reducing the need for on-site visits to determine when a field was planted.
Controls / human review
ATO: Not reported; PIA: Not published