OMB Individually Reported
NWRC ND Field Station Birds and Agriculture Project
Low riskExact public inventory row
Description
Use machine learning to detect, classify, and count birds damaging crops. Systems allowed to selectively deploy tools to disrupt bird activity.
Detailed example
The system output is bird detection, classification, count, and recommendation to deploy disruption tools
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
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Potential cost savings include automation of deterring bird damage to agricultural crops.
Controls / human review
ATO: No; PIA: Not published
Data needed
Reseach datasets consisting of images of birds in agricultural crops