OMB Individually Reported
Adaptive Management with AMMonitor
Low riskExact public inventory row
Description
Automated species identification from remote sensed data (images and audio files)
Detailed example
Species identification from remotely sensed data
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
Using AI to accurately identify species from remotely sensed data will save thousands of hours of personnel time previously required and would allow researchers to inexpensively capture extensive data sets on species abundances and distributions.
Controls / human review
ATO: No; PIA: Not published
Data needed
Imagery and audio data from remotely sensed data