Technical Implementation of IoT Concept for Bee Colony Monitoring

Zabasta, Anatolijs; Zhiravetska, Anastasia; Kuņicina, Nadežda; Kondratjevs, Kaspars

doi:10.1109/meco.2019.8760180

Cited by 17 publications

(10 citation statements)

References 5 publications

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“…It encompasses constant monitoring inside and outside a hive, real-time application, and artificial intelligence that includes a large number of dependent and independent factors influencing bee's life in the analysis. Previous works [4][5][6][7][8] provide an excellent introduction to the issue and indicate a wide range of approaches, proposals, and analyses of various data, and the necessity and importance of including the influence of many factors on the movement and life of bees. The aim of most works was to fully understand the movement, work, and life of bees living in apiculture (the hive), and which beekeeper takes care of the bees, so that they can raise, nurture, and monitor them with constant insight into the condition of bees in the hive.…”

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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Section: Related Workmentioning

confidence: 99%

IoT Monitoring and Prediction Modeling of Honeybee Activity with Alarm

et al. 2022

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“…In relation to the scientific research of precision beekeeping in Latvia, several international scientific projects were implemented, like ITAPIC (Zacepins et al, 2016), SAMS (Wakjira et al, 2021). In addition to this, local projects were completed with the objective to further adapt the technologies for the local beekeepers, for example, project Autonomous Beekeeping (Zabasta et al, 2019).…”

Section: Status Of the Precisionmentioning

confidence: 99%

Status of the Precision Beekeeping Development in Latvia

Zacepins

Kviesis

Komašilovs

et al. 2021

Rural Sustainability Research

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Information and communication technologies are part of almost any branch of human lives. During the last decade also beekeeping joined the direction of application of IT tools and solutions and precision beekeeping was defined. Still in the beekeeping many operations and observations are completed manually, and there is a potential to switch to the digital realisation. Information technologies can be used in the beekeeping to partly support the beekeepers by implementation of automatic or semi-automatic solutions for bee colony remote monitoring, apiary record making and other actions. The aim of this paper is to make a summary of the usage of information technology tools by the beekeepers in Latvia, summarizing precision beekeeping development status and conclude about its future development potential. To achieve this aim, in cooperation with Latvian Beekeepers Association, a beekeepers survey was conducted. More than 200 beekeepers shared thoughts and opinions about their application of information and communication technologies for monitoring the bee colonies and apiary management. The summary of the survey conducted is described in this study.

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“…The bees were observed and monitored using advanced image and video processing methods [52] [53]. Furthermore, Internet of things (IoT) studies on beekeeping were carried out in [54]. The interesting part is on the development of a stem that analyzes temperature data from a beehive and links it to the surrounding environmental conditions.…”

Section: Related Workmentioning

confidence: 99%

Development of a Low-Cost Wireless Bee-Hive Temperature and Sound Monitoring System

Imoize¹,

Odeyemi²,

Adebisi³

2020

IJEEI

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Precision beekeeping requires data acquisition, data analysis, and applications where the initial phase-data acquired plays a key role. This method of apiculture could be used to measure different bee colony parameters in real time, leveraging on wireless sensing technologies, which aid monitoring of a bee colony, while preventing infectious diseases like colony collapse disordera major loss in the management of honey bee population. In this paper, a lowcost wireless technology-based system, which measures in real-time, the temperature in and around the beehive and the sound intensity inside the hive is presented. This monitoring system is developed using an Arduino microprocessor, an ESP8266 communication module, and a Web-based server. The system provides valuable information concerning the bee colony behavior in terms of temperature and sound characteristics harvested from the server. Based on the measured temperature and sound information, colony beekeepers could easily detect events like increased food usage by the bees, breeding start time, pre-swarming action, actual swarming pattern, and the bee colony's death.

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Technical Implementation of IoT Concept for Bee Colony Monitoring

Cited by 17 publications

References 5 publications

IoT Monitoring and Prediction Modeling of Honeybee Activity with Alarm

IoT Monitoring and Prediction Modeling of Honeybee Activity with Alarm

Status of the Precision Beekeeping Development in Latvia

Development of a Low-Cost Wireless Bee-Hive Temperature and Sound Monitoring System

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