Implementation of the Precision Beekeeping System for Bee Colony Monitoring in Indonesia and Ethiopia

Fiedler, Sascha; Zacepins, Aleksejs; Kviesis, Armands; Komašilovs, Vitālijs; Wakjira, Kibebew; Nawawi, Mohd; Hensel, Oliver; Purnomo, Dwi

doi:10.1109/iccc49264.2020.9257278

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…Both methods allowed them to assess that the flight sensor was unreliable, being affected by a high asymmetrical distribution between incoming and outgoing flights that made it impossible to find a simple data-correction model to be implemented at the hive or server level. Fiedler et al [ 90 ], and subsequently Wakjira et al [ 91 ], tried to apply the same PB systems prototype, called SAMS HIVE, to try to find valid solutions to some Ethiopian and Indonesian management problems, mainly due to the great distance between the hives, often located in deep forests, or the aggressive behavior of local honeybees that make remote monitoring of the hives themselves useful. The initial PB system design [ 90 ] featured a horizontal frame incorporating internal and external sensors for monitoring temperature and humidity, positioned beneath the first super, alongside a scale for tracking the total hive weight.…”

Section: Study Cases and Market Optionsmentioning

confidence: 99%

“…Fiedler et al [ 90 ], and subsequently Wakjira et al [ 91 ], tried to apply the same PB systems prototype, called SAMS HIVE, to try to find valid solutions to some Ethiopian and Indonesian management problems, mainly due to the great distance between the hives, often located in deep forests, or the aggressive behavior of local honeybees that make remote monitoring of the hives themselves useful. The initial PB system design [ 90 ] featured a horizontal frame incorporating internal and external sensors for monitoring temperature and humidity, positioned beneath the first super, alongside a scale for tracking the total hive weight. Subsequently, this design was enhanced by integrating the sensor-equipped frame directly into the brood chamber [ 91 ].…”

Section: Study Cases and Market Optionsmentioning

confidence: 99%

“…For example, this means preventing, with a combination of hive temperature or sound data, a possible swarming or being alerted in time, using collected scale data, that swarming has occurred [ 35 , 41 , 51 , 104 , 105 ]. At the same time, many systems are equipped with GPS and alarm systems, which warn the beekeeper in case the hive is stolen [ 106 ] and/or subject to accidents such as overturning due to wind, agricultural machining, or wildlife [ 90 , 97 , 107 ]. In practical applications, PB systems can support the beekeeper by optimizing honey harvesting [ 108 ] and by allowing product losses to be minimized [ 35 , 109 ].…”

Section: Swot Analysis On the Application Of Pb Systemsmentioning

confidence: 99%

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Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing the Beekeeping Sector

Danieli,

Addeo,

Lazzari

et al. 2023

Animals

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The present review aims to summarize the more recent scientific literature and updated state of the art on the research effort spent in adapting hardware–software tools to understand the true needs of honeybee colonies as a prerequisite for any sustainable management practice. A SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis was also performed with the aim of identifying the key factors that could support or impair the diffusion of precision beekeeping (PB) systems. Honeybee husbandry, or beekeeping, is starting to approach precision livestock farming (PLF), as has already happened in other animal husbandry sectors. A transition from the current paradigm of rational beekeeping to that of precision beekeeping (PB) is thus expected. However, due to the peculiarities of this species and the related farming practices, the PB technological systems (PB systems) are still undergoing a development process that, to some extent, limits their large-scale practical application. Several physical–chemical (weight, temperature, humidity, sound, gases) and behavioral traits (flight activity, swarming) of the hive are reviewed in light of the evolution of sensors, communication systems, and data management approaches. These advanced sensors are equipped with a microprocessor that records data and sends it to a remote server for processing. In this way, through a Wireless Sensor Network (WSN) system, the beekeeper, using specific applications on a personal computer, tablet, or smartphone, can have all the above-mentioned parameters under remote control. In general, weight, temperature, and humidity are the main hive traits monitored by commercial sensors. Surprisingly, flight activity sensors are rarely available as an option in modular PB systems marketed via the web. The SWOT analysis highlights that PB systems have promising strength points and represent great opportunities for the development of beekeeping; however, they have some weaknesses, represented especially by the high purchasing costs and the low preparedness of the addressed operators, and imply some possible threats for beekeeping in terms of unrealistic perception of the apiary status if they applied to some hives only and a possible adverse impact on the honeybees’ colony itself. Even if more research is expected to take place in the next few years, indubitably, the success of commercial PB systems will be measured in terms of return on investment, conditioned especially by the benefits (higher yields, better colonies’ health) that the beekeeper will appraise as a consequence of their use.

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Section: Study Cases and Market Optionsmentioning

confidence: 99%

Section: Study Cases and Market Optionsmentioning

confidence: 99%

Section: Swot Analysis On the Application Of Pb Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing the Beekeeping Sector

Danieli,

Addeo,

Lazzari

et al. 2023

Animals

View full text Add to dashboard Cite

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“…Although centered around Europe, where historical biological bee research had been performed, PB research initiatives come from all over the world and seem to gain attention in developing countries, especially in the last few years. In particular, the authors of [Fiedler et al, 2020] are part of a 3-continent collaboration. They presented a PB system deployment in Ethiopia and Indonesia, involving researchers from the latter two countries and Germany and Latvia.…”

Section: Precision Beekeepingmentioning

confidence: 99%

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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“…Precision beekeeping [9][10][11][12][13][14] is a term that has appeared in recent years referring to the development of online tools for the continuous monitoring and control of bee behavior using an individual approach to society, avoiding exposing bees to additional stress and unproductive activities. As monitoring each bee colony requires expensive resources and is complex, precision beekeeping offers a solution in the form of monitoring individual bee colonies and their immediate environment.…”

Section: Related Workmentioning

confidence: 99%

IoT Monitoring and Prediction Modeling of Honeybee Activity with Alarm

et al. 2022

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A significant number of recent scientific papers have raised awareness of changes in the biological world of bees, problems with their extinction, and, as a consequence, their impact on humans and the environment. This work relies on precision beekeeping in apiculture and raises the scale of measurement and prediction results using the system we developed, which was designed to cover beehive ecosystem. It is equipped with an IoT modular base station that collects a wide range of parameters from sensors on the hive and a bee counter at the hive entrance. Data are sent to the cloud for storage, analysis, and alarm generation. A time-series forecasting model capable of estimating the volume of bee exits and entrances per hour, which simulates dependence between environmental conditions and bee activity, was devised. The applied mathematical models based on recurrent neural networks exhibited high accuracy. A web application for monitoring and prediction displays parameters, measured values, and predictive and analytical alarms in real time. The predictive component utilizes artificial intelligence by applying advanced analytical methods to find correlation between sensor data and the behavioral patterns of bees, and to raise alarms should it detect deviations. The analytical component raises an alarm when it detects measured values that lie outside of the predetermined safety limits. Comparisons of the experimental data with the model showed that our model represents the observed processes well.

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Implementation of the Precision Beekeeping System for Bee Colony Monitoring in Indonesia and Ethiopia

Cited by 5 publications

References 8 publications

Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing the Beekeeping Sector

Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing the Beekeeping Sector

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

IoT Monitoring and Prediction Modeling of Honeybee Activity with Alarm

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