Anomaly Detection

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. 

Related resources:

Gro Drought Index

Anomaly Detection -Land Surface Temperature Chart