IoT Platform for Precision Stingless Bee Farming

Anuar, Noor Hafizah Khairul; Yunus, Mohd Amri Md; Baharuddin, Muhammad Ariff; Sahlan, Shafishuhaza; Abid, Azwad; Ramli, Muhammad Muhaimin; Amin, Muhammad Razzi Abu; Lotpi, Zul Fazzre Mohd

doi:10.1109/i2cacis.2019.8825089

Cited by 14 publications

(7 citation statements)

References 2 publications

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“…The system data logger and the type of visual information provided to beekeepers are described in the paper, but no details are given about the accuracy of the weight measurements. Four strain gauge load cell sensors are used for weight measurement and integrated with the HX711 module in [33] too. They are installed at each edge under the hive topping; the authors state a ±0.1 kg accuracy for weight measurement.…”

Section: Weight Measurementmentioning

confidence: 99%

A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring

Cecchi

Spinsante

Terenzi

et al. 2020

Sensors

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The widespread decline of honey bee (Apis mellifera L.) colonies registered in recent years has raised great attention to the need of gathering deeper knowledge about this phenomenon, by observing the colonies’ activity to identify possible causes, and design corresponding countermeasures. In fact, honey bees have well-known positive effects on both the environment and human life, and their preservation becomes critical not only for ecological reasons, but also for the social and economic development of rural communities. Smart sensor systems are being developed for real-time and long-term measurement of relevant parameters related to beehive conditions, such as the hive weight, sounds emitted by the bees, temperature, humidity, and CO 2 inside the beehive, as well as weather conditions outside. This paper presents a multisensor platform designed to measure the aforementioned parameters from beehives deployed in the field, and shows how the fusion of different sensor measurements may provide insights on the status of the colony, its interaction with the surrounding environment, and the influence of climatic conditions.

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Section: Weight Measurementmentioning

confidence: 99%

A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring

Cecchi

Spinsante

Terenzi

et al. 2020

Sensors

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“…There are different types of data collected like weight [3], temperature [4], bee count [5], and image data [6]. In this paper, we focus on services relying on sound data in an energyaware PB system.…”

Section: Related Workmentioning

confidence: 99%

“…The abnormal case of a power outage is mentioned in [15], and the autonomy of the system only powered by an unplugged battery is measured (75 hours). The same runtime duration is calculated in [3], and this temperature, humidity, and the weight-measuring system can last around 12 days autonomously. A data reduction method is presented in [16], and raw data transfer versus reduced data is energetically compared.…”

Section: Related Workmentioning

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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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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“…The weight is probably the easiest parameter to measure by using, in general, non-invasive sensors. The different systems available on the market use a scale consisting of load cells, which rely on mechanics and resistive theory, integrated with amplifier modules that are linked to the microcontroller [ 26 ]. The load cells are made of a material that moves back when pressure (weight) is applied.…”

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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IoT Platform for Precision Stingless Bee Farming

Cited by 14 publications

References 2 publications

A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring

A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring

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

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