Continuous monitoring of beehives’ sound for environmental pollution control

Pérez, Nicolás; Jesús, Florencia; Perez, Claudio A.; Niell, Silvina; Draper, Alejandro; Obrusnik, Nicolás; Zinemanas, Pablo; Spina, Yamandú Mendoza; Carrasco-Letelier, Leónidas; Monzón, Pablo

doi:10.1016/j.ecoleng.2016.01.082

Cited by 22 publications

(9 citation statements)

References 18 publications

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“…Understanding traffic at the hive entrance is a very commonly used proxy for hive health [Tashakkori et al, 2021, Cunha et al, 2020]. Internal hive condition such as temperature [Braga et al, 2020, Seritan et al, 2018, Meikle et al, 2017, Murphy et al, 2016], CO 2 concentration [Seritan et al, 2018,Murphy et al, 2016], humidity [Paffhausen et al, 2021,Murphy et al, 2016], audio [Sharif et al, 2020,Pérez et al, 2016] and weight [Paffhausen et al, 2021,Hladun et al, 2016] have also been used extensively as proxies for hive health. Overwintering colony loss rate [Meikle et al, 2017,Becher et al, 2013, Ngo et al, 2021b] and pathogen infestation rate are also proxies for hive health [Jara et al, 2020].…”

Section: Resultsmentioning

confidence: 99%

A Framework for Better Sensor-Based Beehive Health Monitoring

Zaman

Dorin

2022

Preprint

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Hive bees provide essential pollination services to human agriculture. Managed honey bees in particular pollinate many crops, but also create honey and other bee products that are now of global economic importance. Key aspects of honey bee behaviour can be understood by observing hives. Hence, the limitations of manual observation are increasingly being addressed by new technologies that automate and extend the reach of hive monitoring. Here we propose a framework to classify and clarify the potential for sensor-assisted hive monitoring to inform apiculture and, ultimately, improve hive bee management. This framework considers hive monitoring approaches across three newly proposed categories: Operational monitoring, Investigative monitoring, and Predictive monitoring. These categories constitute a new ``OIP Framework'' of hive monitoring. Each category has its own requirements for underlying technology that includes sensors and ICT resources we outline. Each category is associated with particular outcomes and benefits for apiculture and hive health monitoring detailed here. Application of these three classes of sensor-assisted hive monitoring can simplify understanding and improve best-practice management of hive bees. Our survey and classification of hive monitoring to date show that it is seldom practiced beyond honey bees, despite the need to understand bumble bees and stingless bees also. Perhaps unsurprisingly, sensor-based hive monitoring is shown to remain primarily a practice of developed nations. Yet we show how all countries, especially developing nations, stand to gain substantially from the benefits improved sensor-based hive monitoring offers. These include a better understanding of environmental change, an increased ability to manage pollination, an ability to respond rapidly to hive health issues such as pests and pathogens, and even an ability to react quickly to the danger posed to insects and humans alike by extreme events such as floods and fires. Finally, we anticipate that the future of hive monitoring lies in the application of Predictive monitoring, such that a hive's anticipated future state can be preemptively managed by beekeepers working iteratively with novel hive monitoring technologies.

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Section: Resultsmentioning

confidence: 99%

A Framework for Better Sensor-Based Beehive Health Monitoring

Zaman

Dorin

2022

Preprint

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“…As for the microcontroller, they position it outside the beehive. For instance, inside the roof of the beehive ( [Anuar et al, 2019]) or in a dedicated box ([Pérez et al, 2016]), sometimes 3-D printed ([Tashakkori et al, 2021]). Isolating the microcontroller has the advantage of being close to the bees while being protected from their defensive reactions.…”

Section: Architecture Of a Connected Beehivementioning

confidence: 99%

“…If an individual bee covers the sound of the whole colony, the global pattern cannot be picked up. This pattern changes based on events like swarming ( [Anand et al, 2018]) and even over the length of a day, as bees do not emit in the same frequencies in the morning compared to the afternoon ( [Pérez et al, 2016]).…”

Section: Biological Knowledge About Bees' Sound Signalsmentioning

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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“…An alternative way of using honeybees to evaluate environmental quality is to look for changes in their behavior. It is possible to record the sound patterns at the hive, to monitor in-and-out movements of foraging bees, or to determine the number of bees using an infrared-based imaging system (Pérez et al 2016;Chen et al 2012;Shaw et al 2011;Cousin et al 2019). Laser-based optical systems that record the wing-beat frequency can be used to detect honeybee movements near the beehive or near a specific target, as well as those flying in the environment (Hoffman et al 2007;Brydegaard et al 2016).…”

Section: The Monitoring Protocolmentioning

confidence: 99%

Bioindicators and biomonitoring: honeybees and hive products as pollution impact assessment tools for the Mediterranean area

Girotti

Ghini

Ferri

et al. 2020

Euro-Mediterr J Environ Integr

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The global range of the environmental quality issues we all face necessitates integrated action from all of the countries that suffer from a particular environmental issue. We must be able to obtain data on the presence of pollutants and their effects on biota from any territory, regardless of its environmental, infrastructural, social, and economic conditions. Biomonitoring utilizes organisms and natural materials to obtain this information. In particular, the honeybee is a ubiquitous, easy-to-breed organism with great mobility. Its body, which is covered with hairs, picks up materials and particulates that it encounters in the environment. Therefore, bees are highly effective accumulators of materials from the soil, vegetation, air, and water. These characteristics mean that the honeybee is both a bioindicator and a passive bioaccumulator organism, making it an ideal agent for easily monitoring vast areas inexpensively, even in regions where infrastructure is scarce. In this short review, we summarize the main targets of the honeybee-based monitoring campaigns that have been carried out to date, highlighting the results obtained in assessments of organic and inorganic pollution performed by coupling more modern technologies with this long-standing practice. It is hoped that this review will make scientists more aware of the incredible potential of these delicate organisms to provide data that could prove useful in the management of environmental issues.

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Continuous monitoring of beehives’ sound for environmental pollution control

Cited by 22 publications

References 18 publications

A Framework for Better Sensor-Based Beehive Health Monitoring

A Framework for Better Sensor-Based Beehive Health Monitoring

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

Bioindicators and biomonitoring: honeybees and hive products as pollution impact assessment tools for the Mediterranean area

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