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Analysis turns raw data into colony activities and events that are meaningful to beekeepers.

  • For example, if 2/3 of the temperature sensors in the brood chamber register a constant 35ºC (95ºF), it means that 2/3 of the brood chamber contains brood, as bees maintain their brood at that temperature, and the analysis should generate a report to the beekeeper saying that the brood chamber is 2/3 full.
  • Another example is the ability to interpret the acoustic signal from the colony and infer its state, such as being queenless, or being out of food.

Other analyses will be more complex, and require comparing data from other times, and other colonies, even other years. A vast amount of interesting work remains to be done in this area.
bee keeping technologies

Examples of analysis

Currently, data analysis is left to the beekeeper[1]. Beekeepers with a familiarity with Microsoft Excel can begin analyzing their data with it.

Examples of automated analysis include BeeAlert’s device to interpret audio and diagnose a colony for various conditions, and Eyesonhive’s ability to detect and report orientation flights and swarms.

bee keeping technologies

Visual analytics

Until researchers learn to automate the analysis of the data that sensors capture, it seems reasonable to suppose that software for advanced visual analytics will be useful for beekeepers to interpret the data they receive.

Tableau is a recognized leader in the field of advanced visual analytics, and a version of their software is available for free.


[1] This is not literally true. For example, inferring colony status from colony acoustics and inferring foraging activity from video requires significant analysis using artificial intelligence techniques.

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