Anomaly Detection

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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:

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