Gro’s Anomaly Detection algorithm provides a mechanism for checking large amounts of data and sending alerts when an anomalous event has occurred.
Customers Use This Model To:
Analyze data series of important agricultural regions.
Detect types of anomalies of any series in any region.
Check a large amount of data and receive an alert whenever a significant anomalous event occurs.
Methodology
Retrieve all time series data for selected regions
In the case of daily LST, transform data into 7-day averages
Check if the most recent data points are greater than two standard deviations from the mean
Format into a text alert
Why It Matters
Users are able to select frameworks for discovering anomalous weather events that could have significant impact on crop production and make better long-term forecasting decisions.