An index for assessing the foraging activities of honeybees with a Doppler sensor

Aumann, H.M.; Payal, B.; Emanetoglu, Nuri W.; Drummond, Francis A.

doi:10.1109/sas.2017.7894090

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…There is still a discussion within the scientific community about the invasiveness of microphones when collecting audio data directly inside the beehive. Although researchers in [Nolasco et al, 2019] and state that sound analysis of acoustic signals is not invasive, the authors of [Aumann et al, 2017], who opted for an outside alternative, argue that regular microphones systems are still a disruption to the colony.…”

Section: Sound Collectionmentioning

confidence: 99%

“…Placed on the outside of the entrance, this type of radar is described by the authors of [Aumann and Emanetoglu, 2016], who built an original non-intrusive setup gathering acoustic data retrieving the typical sounds from a colony, like queen tooting and quacking. In another publication ([Aumann et al, 2017]), sounds and vibrations of a hive can be measured in the frequency spectrum thanks to the same type of radar microphone, and looking at the sign of frequency shifts, it is possible to spot individual bees flying out (negative) or back (positive) to their hive. Although only from the entrance of a beehive, the data collected by an outdoor radar still reflects the general health of a colony, as it is known that many events happen at the front of a hive, like foraging, guarding and fanning.…”

Section: Outside the Beehivementioning

confidence: 99%

“…Swarm detection [Eskov and Toboev, 2011] 12 over 1 spring and summer POLS with Gaussian kernel [Howard et al, 2013] 4 over 1 week FFT, STFT, S-transform & SOM Queenless state identification [Qandour et al, 2014] * FFT, SFTF, PCA, LDA & SVM Varroa mites detection [Kulyukin and Reka, 2016] 4 over 2 days FFT & [Tolstov, 2012] None [Pérez et al, 2016] 3 over 2 months Spectrogram comparisons None [Ramsey et al, 2017] 1 in UK & 1 in France over a season Spectrogram comparisons, PCA None ("whooping" detection) [Aumann et al, 2017] 1 over 4 days Doppler radar data and its features Beehive activity [Robles-Guerrero et al, 2017] 2 over 45 days…”

Section: Filtering and Spectrogram Comparisonsmentioning

confidence: 99%

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Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services

Hadjur

Ammar

Lefèvre

2022

Computers and Electronics in Agriculture

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Since the end of the 20 th century, bees are suffering from increasing stress factors, leading domesticated colonies to die or at least be less productive. Precision beekeeping (PB) is an emerging field of agriculture that aims at protecting bees, supporting beekeepers, and optimizing apiary production thanks to digital infrastructures. The digitalization of apiculture first involves systems from the field of the Internet of Things (IoT), with the development of sensors to collect and transfer bee-related data. Then, data analysis comes into play, providing models that connect the data with the biological states of beehives, sometimes thanks to artificial intelligence (AI).In this paper, we describe the recent advances in precision beekeeping as systems and as services. Different types of sensors, networks, and power sources in PB are covered. The collection and use of data are described, and the performances of PB services are assessed. We also estimate the sustainability of the proposed solutions, taking into account their scalability, efficiency, and economic cost, because beekeepers need deployable research results.

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Section: Sound Collectionmentioning

confidence: 99%

Section: Outside the Beehivementioning

confidence: 99%

Section: Filtering and Spectrogram Comparisonsmentioning

confidence: 99%

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Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services

Hadjur

Ammar

Lefèvre

2022

Computers and Electronics in Agriculture

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“…In an entirely different approach, we demonstrated the use of a low-power continuous-wave (CW) Doppler radar to listen to bee sounds [20] or to monitor flying activity outside the beehive [21][22][23].…”

Section: Prior Workmentioning

confidence: 99%

“…5. It was shown in [21] that the root-mean-squared (RMS) value of the raw Doppler signal is equivalent to the total power in the Doppler spectrum and is a good indicator of the level of bee activity. We similarly calculated the RMS value of the vibrational signal.…”

Section: Fig 6 Vibration and Radar Frequency-time-intensity Plotsmentioning

confidence: 99%

Janus: A Combined Radar and Vibration Sensor for Beehive Monitoring

Aumann

Emanetoglu

2021

IEEE Sens. Lett.

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A novel beehive monitoring sensor with two faces is described. This sensor is attached to the outside of a hive, near the hive entrance. The outward-looking sensor is a 24 GHz continuous-wave Doppler radar for monitoring bee flying activity. The inward-looking sensor is a piezo-electric transducer. Unlike a conventional microphone that would pick up the sounds bees make, the piezo-electric transducer picks up the incidental vibrations transmitted by bee activity to the hive structure.The root-mean-square powers in concurrent radar and vibration measurements are shown to be highly correlated during honeybee swarming and robbing events. Principal component analysis was applied to radar, vibration, and environmental measurements to further reduce false alarms.

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