OMB Individually Reported
Development of new tools for detecting and assessing resilient agriculural systems farm performance
Low riskExact public inventory row
Description
This work uses convolutional long short-term memory neural networks to aid in development of new tools for detecting and assessing resilient agriculural systems farm performance based on a variety of Earth and agricultural sensor data.
Detailed example
Predictions
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
Development of new tools for detecting and assessing resilient agriculural systems farm performance
Controls / human review
ATO: Not reported; PIA: Not published