Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/36771
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dc.contributor.advisorBasma Hamrouni-
dc.contributor.authorFenik, Khaled-
dc.contributor.authorBabanoui, Rania-
dc.date.accessioned2024-09-22T09:07:20Z-
dc.date.available2024-09-22T09:07:20Z-
dc.date.issued2024-
dc.identifier.citationFACULTY OF N EW I NFORMATION AND C OMMUNICATION T ECHNOLOGIESen_US
dc.identifier.urihttps://dspace.univ-ouargla.dz/jspui/handle/123456789/36771-
dc.description.abstractThe health and productivity of aquatic creatures in aquaculture systems depend on maintaining ideal water quality conditions. Aquaculture significantly influences seafood production worldwide. Conventional monitoring techniques can be lengthy, infrequent, and lack the promptness necessary to prevent and alleviate unfavorable circumstances. This study proposes a novel method for real-time water quality monitoring in aquaculture, utilizing cloud-based data and Internet of Things (IoT) sensors. Strategically positioned IoT sensors within aquaculture facilities continuously collect information on key water quality factors such as temperature, pH lev- els. Real-time monitoring enables aquaculturists to quickly detect deviations from optimal conditions, reducing the risk of disease outbreaks and aquatic species mortality. Additionally, the system integrates a comprehen- sive management platform that tracks information on feed, medication, and incidents, stored in a detailed database. To enhance the development and testing phases, we employed the Wokwi simulator, which allowed us to simulate and validate the functionality of sensors and actuators before physical deployment. This approach offered several advantages, including cost-effectiveness by reducing hardware expenses during prototyping and minimizing risks associated with potential hardware failures in real-world scenarios. The use of the Wokwi simulator ensured that our IoT solution met performance and reliability standards, laying a solid foundation for its successful deployment and operation in aquaculture settings.en_US
dc.description.sponsorshipDepartment of Computer Science and Information Technologiesen_US
dc.language.isoenen_US
dc.publisherKASDI MERBAH UNIVERSITY OUARGLAen_US
dc.subjectSmart aquacultureen_US
dc.subjectIndustry 4.0en_US
dc.subjectIoTen_US
dc.subjectfish monitoringen_US
dc.subjectsustainable developmenten_US
dc.titleAQUALINK IOT platform for smart aquaculture In the context of industry 4.0en_US
dc.typeThesisen_US
Appears in Collections:Département d'informatique et technologie de l'information - Master

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