Reference : Web Monitoring of Bee Health for Researchers and Beekeepers Based on the Internet of ...
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Engineering, computing & technology : Computer science
Web Monitoring of Bee Health for Researchers and Beekeepers Based on the Internet of Things
Debauche, Olivier mailto [Université de Liège - ULiège > > > Doct. sc. agro. & ingé. biol. (Paysage)]
El Moulat, Meryem mailto [Université Mohammed V > > > >]
Mahmoudi, Saïd mailto [Université de Mons - UMONS > Faculté polytechnique > Service d'informatique > >]
Boukraa, Slimane mailto [Higher National Agronomic School > Department of Agriculture and Forestry Zoology > > >]
Manneback, Pierre mailto [Université de Mons - UMONS > Faculté Polytechnique > Service d'informatique > >]
Lebeau, Frédéric mailto [Université de Liège - ULiège > Ingénierie des biosystèmes (Biose) > Biosystems Dynamics and Exchanges >]
Procedia Computer Science
The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated Workshops
The 8th International Symposium on Frontiers in Ambient and Mobile Systems (FAMS 2018)
du 8 mai 2018 au 11 mai 2018
[en] precision beekeeping ; precision agriculture ; lambda architecture ; colony collapse disorder ; Internet of Things ; bee health
[en] The Colony Collapse Disorder (CCD) also entitled ‘Colony Loss’ has a significant impact on the biodiversity, on the pollination of crops and on the profitability. The Internet of Things associated with cloud computing offers possibilities to collect and treat a wide range of data to monitor and follow the health status of the colon. The surveillance of the animals’ pollination by collecting data at large scale is an important issue in order to ensure their survival and pollination, which is mandatory for food production. Moreover, new network technologies like Low Power Wide Area (LPWAN) or 3GPP protocols and the appearance on the market easily programmable nodes allow to create, at low-cost, sensors and effectors for the Internet of Things. In this paper, we propose a technical solution easily replicable, based on accurate and affordable sensors and a cloud architecture to monitor and follow bees’ behavior. This solution provides a platform for researchers to better understand and measure the impacts factors which lead to the mass extinction of bees. The suggested model is also a digital and useful tool for beekeepers to better follow up with their beehives. It helps regularly inspect their hives to check the health of the colony. The massive collection of data opens new research for a better understanding of factors that influence the life of bees.
Researchers ; Professionals ; Students ; General public

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