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Lekoro Nkholise

Saving Farms with Bees and Acoustic Bioanalytics

An article on how hive acoustics can save your orchard cash

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When a beehive swarms, half the colony takes flight to find a new home, taking the existing queen and weeks of productivity with them. For an orchard, this is not just a biological event, it means the remaining pollinating workforce of bees is 1.2 to 2.6 times less efficient at foraging according to Sandra Kordić Evans, et al.

Manual hive checks try to catch swarming early, but visual signs like queen cells often show up when it is already too late to stop the split. Instead of opening boxes and guessing, listening to the hive's acoustic signals provides a direct, predictable way to catch the warning signs early.

How Hive Sounds Shift

Before bees swarm, the sound inside the hive changes completely as heat increases, thousands of worker bees vibrate in unison, and the calm background hum sharpens into an organized pattern. Running this sound through acoustic analysis converts the audio into clear graph data showing the shift across key frequencies and duration of this shift.

Cleaned and Processed Frequency Spectrum for Recorded bee data by Phytely.

//FIG.Cleaned and Processed Frequency Spectrum for Recorded bee data by Phytely.

The graph reveals a primary peak at 242.1 Hz, which according to S. Ferrari et al. representing the fundamental frequency generated by synchronized worker wingbeats and hive ventilation during normal, steady colony activity. Secondary peaks at 494.2 Hz and 725.0 Hz appear as integer harmonic overtones. Because these overtones align at precise multiples of the fundamental frequency, they confirm that the signal originates from genuine bee activity rather than environmental noise. This reflects a stable hive baseline.

Over an 80 second recording window, the bioacoustic spectrogram demonstrates a stable, active colony characterized by a continuous fundamental band between 220 and 250 Hz (~35–45 dB), which represents routine worker bee wingbeats and hive ventilation. Accompanied by a secondary trace in the 400–480 Hz range corresponding to the first-order harmonics, the audio displays high signal clarity with a background noise floor below 10 dB and negligible low-frequency interference after the 5 second mark. While high-intensity (55–65+ dB) vertical transient bursts sweep from 500 Hz to 800 Hz at approximately 17, 40, and 72 seconds, this likely is indicative of brief worker piping or localized acoustic excitations, the absence of a sustained upward power shift confirms that the colony remains in a non-swarming baseline state as defined in bioacoustic literature.

Bioacoustic spectrogram of hive audio over an 80 second duration by Phytely, displaying a continuous fundamental wingbeat frequency around 240 Hz, with other Harmonics between 500 & 400 Hz and 600-700 Hz.

//FIG.Bioacoustic spectrogram of hive audio over an 80 second duration by Phytely, displaying a continuous fundamental wingbeat frequency around 240 Hz, with other Harmonics between 500 & 400 Hz and 600-700 Hz.

What This Means for Your Wallet

Instead of sending teams to manually open and inspect every box every week, continuous bioacoustic monitoring can be used to track these sound signatures automatically and flag specific hives for targeted action the moment they lock into the "pre-swarm" pattern. This helps us help orchard owners split hives or manage queen cells early, keeping maximum pollinator density in their orchards throughout critical bloom windows. Shifting to these targeted checks eliminates wasted labor hours as well as money spent inspecting calm, healthy boxes while protecting the fruit set and securing higher harvest revenue per hectare.