Analysis of energy consumption in a precision beekeeping system

Hadjur, Hugo; Ammar, Doreid; Lefèvre, Laurent

doi:10.1145/3410992.3411010

Cited by 10 publications

(7 citation statements)

References 4 publications

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“…The current drawn over one iteration of measures is displayed in [17] to spot the consumption of each subtask. The same approach is presented in [18], and different variations of parameters within each task are then measured and compared.…”

Section: Related Workmentioning

confidence: 99%

“…In addition, at regular intervals, the Raspberry Pi Zero WH transfers the latest consumption data. Sizes of samples and arrangement of steps for the data collection and transfer are chosen thanks to an analysis presented in [18]. To complete the data, the weather data from both locations is collected at regular intervals.…”

Section: Energy Consumption Of the Deployed Systemmentioning

confidence: 99%

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Services Orchestration at the Edge and in the Cloud for Energy-Aware Precision Beekeeping Systems

Lefèvre

Ammar

Hadjur

2023

2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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Precision Beekeeping is a subfield of Precision Agriculture. It collects data on colonies of bees using sensors to assist beekeepers and preserve bees. The existing solutions include collecting voluminous data, such as images and sound, from up close or inside a beehive. The collection, transfer, and processing of such data are energy-intensive processes. However, most Precision Beekeeping systems work under a limited energy budget. Thus, such systems must take this constraint into account. This article focuses on the placement of energy-aware Precision Beekeeping services at the edge and in the cloud. We deploy a set of smart beehives in order to conduct experiments and collect real data. Then, we simulate large-scale systems with embedded services to add more realism to the experimental study. Our results show that parameters like the number of smart beehives, the frequency of data collection, and the characteristics of the cloud server impact the placement of these services to enhance energy efficiency.

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Section: Related Workmentioning

confidence: 99%

Section: Energy Consumption Of the Deployed Systemmentioning

confidence: 99%

Services Orchestration at the Edge and in the Cloud for Energy-Aware Precision Beekeeping Systems

Lefèvre

Ammar

Hadjur

2023

2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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“…One family of these MOx sensors responds to give an estimate for CO 2 . These sensors have a low power consumption [ 68 ], but the cost is still high, so a practical application in beekeeping is difficult at this stage. In addition, MOx sensors can detect a wide range of gases, so a specific calibration is mandatory to understand what kind of gas the sensor is measuring at a specific time [ 69 , 70 ].…”

Section: Data Collection and Storage: Sensors And Systemsmentioning

confidence: 99%

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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“…The energy footprint of an existing PB system is broken down in [Hadjur et al, 2020]. Boot, data collection, formatting, and transmission (Wi-Fi) are benchmarked.…”

Section: Energymentioning

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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Analysis of energy consumption in a precision beekeeping system

Cited by 10 publications

References 4 publications

Services Orchestration at the Edge and in the Cloud for Energy-Aware Precision Beekeeping Systems

Services Orchestration at the Edge and in the Cloud for Energy-Aware Precision Beekeeping Systems

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

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