NETS automated waterway design
Description
Surveying for and creating engineering designs for relatively simple practices is time consuming and limits getting programs implemented for producers in a timely manner
Detailed example
Auto-generated design for grassed waterways, lined waterways, and outlets within the National Resources Conservation Service (NRCS) Engineering Tools Suite environment
AI / analytics pattern
Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Reduces producer wait times for practice designs, reduces time investment in simple engineering survey and designs, efficiently uses taxpayer resources.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Data consists of LiDAR imagery, Soil Survey Geographic Database (SSURGO) and National Soil Information System (NASIS) soils information, National Oceanic and Atmospheric Administration (NOAA) precipitation and evapotranspiration data, engineering computational data, and data on producer's operation type