Acoustically Tracking the Comings and Goings of Bumblebees

Heise, David R.; Miller, Zachary; Harrison, Ellie; Gradišek, Anton; Grad, Janez; Galen, Candace

doi:10.1109/sas.2019.8705973

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…Additionally, investigations have been undertaken using sound data obtained from microphones. Heise et al [8] utilized frequency and waveform characteristics of bumblebee wing sounds to classify hive arrivals and departures based on audio cues. Nevertheless, using microphones to measure bee activity encounters challenges in distinguishing between wing sounds of multiple individuals and background noises, making it difficult to accurately count the simultaneous arrivals and departures of multiple bees.…”

Section: Related Work a Bee Activity Managementmentioning

confidence: 99%

IgnitusTracker: Tracking Bee Flights for Assessing the Activity of Bombus Ignitus Towards Keeping Optimal Pollination Environments

Tsuji,

Hamada,

Michikata

et al. 2024

IEEE Access

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In Japan, China, and Korea, Bombus ignitus plays a vital role as a pollinator insect in greenhouse horticulture. Over time, the activity of worker bees diminishes, prompting the replacement of the entire hive with new bees. However, considering the cost of hives, it is imperative to pinpoint the optimal replacement timing, balancing the decline in bee activity and the expenses associated with hive renewal. To achieve this objective, calculating the ideal timing for replacement using activity data is preferable. Currently, due to the unavailability of activity data, farmers often rely on visual monitoring and empirical judgments to decide when to replace hives. To address this gap, our study focuses on accurately quantifying the arrivals and departures of Bombus ignitus males and workers from hives, using these metrics as reliable indicators of bee activity. For this purpose, we propose a method for accurately tracking Bombus ignitus. Our proposed method combines specialized tracking techniques for honeybees, drawn from existing research, with commonly used tracking methods for pedestrians and automobiles. The evaluation of our method using test data showcases superior tracking precision with reduced errors, providing a more accurate tally of arrivals and departures compared to existing approaches. Furthermore, when applied on actual farms, our method revealed a significant decrease in worker bee arrivals and departures as the expected replacement time, based on farmers' experience, drew nearer. This promising result suggests that our approach facilitates data-informed decision-making. Consequently, we anticipate more efficient and appropriately timed hive replacements, based on evidence, in the future.

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Section: Related Work a Bee Activity Managementmentioning

confidence: 99%