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Modular sensory hardware and data processing solution for implementation of the precision beekeeping

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dc.contributor.authorKomasilovs, V.
dc.contributor.authorZacepins, A.
dc.contributor.authorKviesis, A.
dc.contributor.authorFiedler, S.
dc.contributor.authorKirchner, S.
dc.date.accessioned2019-04-18T10:25:36Z
dc.date.available2019-04-18T10:25:36Z
dc.date.issued2019
dc.descriptionArticleeng
dc.description.abstractFor successful implementation of the Precision Apiculture (Precision Beekeeping) approach, immense amount of bee colony data collection and processing using various hardware and software solutions is needed. This paper presents standalone wireless hardware system for bee colony main parameters monitoring (temperature, weight and sound). Monitoring system is based on Raspberry Pi 3 computer with connected sensors. Power supply is granted by the solar panel for reliable operation in places without constant source for power. For convenient data management cloud based data warehouse (DW) is proposed and developed for ease data storage and analysis. Proposed data warehouse is scalable and extendable and can be used for variety of other ready hardware solutions, using variety of data-in/data-out interfaces. The core of the data warehouse is designed to provide data processing flexibility and versatility, whereas data flow within the core is organized between data vaults in a controllable and reliable way. Our paper presents an approach for linking together hardware for bee colony real-time monitoring with cloud software for data processing and visualisation. Integrating specific algorithms and models to the system will help the beekeepers to remotely identify different states of their colonies, like swarming, brood rearing, death of the colony etc. and inform the beekeepers to make appropriate decisions/actions. This research work is carried out within the SAMS project, which is funded by the European Union within the H2020-ICT-39-2016-2017 call. To find out more visit the project website https://sams-project.eu/.eng
dc.identifier.issn1406-894X
dc.identifier.publicationAgronomy Research, 2019, vol. 17, no. 2, pp. 509–517eng
dc.identifier.urihttp://hdl.handle.net/10492/4668
dc.identifier.urihttps://doi.org/10.15159/ar.19.038
dc.rights.holderCopyright 2009 by Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry. No part of this publication may be reproduced or transmitted in any form, or by any means, electronic or mechanical, incl. photocopying, electronic recording, or otherwise without the prior written permission from the Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry.eng
dc.subjectprecision beekeepingeng
dc.subjectdata warehouseeng
dc.subjectbee colony monitoringeng
dc.subjectarticleseng
dc.titleModular sensory hardware and data processing solution for implementation of the precision beekeepingeng
dc.typeArticleeng

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2019, Vol. 17, No. 2