System Architectures for Real-time Bee Colony Temperature Monitoring

Kviesis, Armands; Zacepins, Aleksejs

doi:10.1016/j.procs.2014.12.012

Cited by 37 publications

(28 citation statements)

References 3 publications

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“…The authors also reported that this could be due to the ventilation created by the bees. From the correlation of external and internal temperatures, we obtained r 2 = 0.80, which is lower than the value found by Meikle et al [20], equal to 0.90, and in [16], equal to 0.85. The difference was attributed to the sensor position inside the hive.…”

Section: Resultscontrasting

confidence: 72%

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Application of A Precision Apiculture System to Monitor Honey Daily Production

Catania

Vallone

2020

Sensors

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Precision beekeeping or precision apiculture is an apiary management strategy based on the monitoring of individual bee colonies to minimize resource consumption and maximize the productivity of bees. Bees play a fundamental role in ensuring pollination; they can also be considered as indicators of the state of pollution and are used as bio monitors. Beekeeping needs continuous monitoring of the animals and can benefit from advanced intelligent ambiance technologies. The aim of this study was the design of a precision apiculture system (PAS) platform for monitoring and controlling the following environmental parameters: wind, temperature, and relative humidity inside and outside the hive, in order to assess their influence on honey production. PAS is based on an Arduino board with an Atmel microcontroller, and the connection of a load cell for recording the weight of the hive, relative humidity and temperature sensor inside the hive, and relative humidity and temperature sensor outside the hive using an anemometer. PAS was installed in common hives and placed in an open field in a French honeysuckle plot; the system was developed to operate in continuous mode, monitoring the period of 24 April–1 June 2019. Temperature was constant in the monitored period, around 35 °C, inside the hive, proving that no criticalities occurred regarding swarming or absconding. In the period between 24 and 28 May, a lack of honey production was recorded, attributed to a lowering of the external temperature. PAS was useful to point out the eventual reduction in honey production due to wind; several peaks of windiness exceeding 5 m s−1 were recorded, noting that honey production decreases with the peaks in wind. Therefore, the data recorded by PAS platform provided a valid decisional support to the operator. It can be implemented by inserting additional sensors for detecting other parameters, such as rain or sound.

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Section: Resultscontrasting

confidence: 72%

“…The internal temperature remained almost constant (35 • C) for the entire period, both during the day and at night. A constant temperature of 35 • C inside the hive proved that, during the trial period, no criticalities occurred regarding swarming or absconding[16].Sensors 2020, 20, x FOR PEER REVIEW 7 of 12…”

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confidence: 99%

Application of A Precision Apiculture System to Monitor Honey Daily Production

Catania

Vallone

2020

Sensors

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“…Beehive-monitoring systems must meet several significant requirements: (i) they must use a minimally invasive method; (ii) they must be operational in remote areas for long periods of time, and (iii) they must allow real-time monitoring. In [ 33 ], Kviesis and Zacepins described different automatic monitoring–system architectures for real-time beehive monitoring, distinguishing their advantages and disadvantages. In our case, we have chosen a three-level hierarchical model based on wireless communication.…”

Section: System Architecturementioning

confidence: 99%

Honey Bee Colonies Remote Monitoring System

Gil-Lebrero

Quiles-Latorre

Ortiz-López

et al. 2016

Sensors

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Bees are very important for terrestrial ecosystems and, above all, for the subsistence of many crops, due to their ability to pollinate flowers. Currently, the honey bee populations are decreasing due to colony collapse disorder (CCD). The reasons for CCD are not fully known, and as a result, it is essential to obtain all possible information on the environmental conditions surrounding the beehives. On the other hand, it is important to carry out such information gathering as non-intrusively as possible to avoid modifying the bees’ work conditions and to obtain more reliable data. We designed a wireless-sensor networks meet these requirements. We designed a remote monitoring system (called WBee) based on a hierarchical three-level model formed by the wireless node, a local data server, and a cloud data server. WBee is a low-cost, fully scalable, easily deployable system with regard to the number and types of sensors and the number of hives and their geographical distribution. WBee saves the data in each of the levels if there are failures in communication. In addition, the nodes include a backup battery, which allows for further data acquisition and storage in the event of a power outage. Unlike other systems that monitor a single point of a hive, the system we present monitors and stores the temperature and relative humidity of the beehive in three different spots. Additionally, the hive is continuously weighed on a weighing scale. Real-time weight measurement is an innovation in wireless beehive—monitoring systems. We designed an adaptation board to facilitate the connection of the sensors to the node. Through the Internet, researchers and beekeepers can access the cloud data server to find out the condition of their hives in real time.

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“…Recent work has shown that the costs of a scientific equipment can be dramatically reduced by applying open source principles to your project using the hardware and software combination of the electronic prototyping platform called "Arduino" [9]. Algumas pesquisas fazem uso desta plataforma, podendo-se citar: Fatehnia et al, [10], Mesas-Carrascosa et al, [11], Ali et al, [12], Kviesis e Zacepins [13], Fezary et al, [14], Laskar et al, [15], Groener et al, [16], Prima et al, [17], Georgieva et al, [18], Gosai e Bhavsar [19] e Pocero et al, [20].…”

Section: Related Workmentioning

confidence: 99%

Low-cost Arduino-based Temperature Measuring System

NdO¹,

G²,

Af³

et al. 2018

Preprint

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The commercial equipment that carries out the measurement of temperature has a high cost. Therefore, this article describes the development of a temperature measurement equipment, which uses a microcontrolled platform, responsible for managing the data of the collected temperature signals and making available the acquired information, so that they can be verified in real time at the measurement site, or remotely. The construction of the temperature measurement equipment was performed using open platform hardware / software, where performance tests were carried out with the objective of developing a temperature measurement equipment that has measurement quality and low cost.

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System Architectures for Real-time Bee Colony Temperature Monitoring

Cited by 37 publications

References 3 publications

Application of A Precision Apiculture System to Monitor Honey Daily Production

Application of A Precision Apiculture System to Monitor Honey Daily Production

Honey Bee Colonies Remote Monitoring System

Low-cost Arduino-based Temperature Measuring System

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