IoT-Driven Workflows for Risk Management and Control of Beehives
| Autor: | Ingred Kortbawi, François Trousset, Adib Akl, Charles Yaacoub, Charbel Kady, François Pfister, Gregory Zacharewicz, Nicolas Daclin, Anna Maria Chedid |
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| Přispěvatelé: | Laboratoire des Sciences des Risques (LSR), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Lebanese American University (LAU), Université Saint-Esprit de Kaslik (USEK), Connecthive |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Decision support system IoT beekeeping Computer science QH301-705.5 Interoperability interoperability BPMN [SDV.SA.ZOO]Life Sciences [q-bio]/Agricultural sciences/Zootechny sensors 010603 evolutionary biology 01 natural sciences Workflow Business Process Model and Notation 03 medical and health sciences modeling & simulation Biology (General) 030304 developmental biology Nature and Landscape Conservation Beehive 0303 health sciences Interoperability improvement Hives monitoring Ecology Business rule business.industry Ecological Modeling computer.file_format Business process modeling Industry 4.0 Agricultural and Biological Sciences (miscellaneous) [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Executable honeybee behavior Software engineering business computer |
| Zdroj: | Diversity Diversity, MDPI, 2021, 13 (7), pp.296. ⟨10.3390/d13070296⟩ Diversity, Vol 13, Iss 296, p 296 (2021) Volume 13 Issue 7 |
| ISSN: | 1424-2818 |
| Popis: | International audience; The internet of things (IoT) and Industry 4.0 technologies are becoming widely used in the field of apiculture to enhance honey production and reduce colony losses using connected scales combined with additional data, such as relative humidity and internal temperature. This paper exploits beehive weight measurements and builds appropriate business rules using two instruments. The first is an IoT fixed scale installed on one hive, taking rich continuous measurements, and used as a reference. The second is a portable nomad scale communicating with a smartphone and used for the remaining hives. A key contribution will be the run and triggering of a business process model based on apicultural business rules learned from experience and system observed events. Later, the evolution of the weight of each individual hive, obtained by either measurement or inference, will be associated with a graphical workflow diagram expressed with the business process model and notation (BPMN) language, and will trigger events that inform beekeepers to initiate relevant action. Finally, the BPMN processes will be transformed into executable models for model driven decision support. This contribution improves amateur and professional user-experience for honeybee keeping and opens the door for interoperability between the suggested model and other available simulations (weather, humidity, bee colony behavior, etc.). |
| Databáze: | OpenAIRE |
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