Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/36771
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Basma Hamrouni | - |
dc.contributor.author | Fenik, Khaled | - |
dc.contributor.author | Babanoui, Rania | - |
dc.date.accessioned | 2024-09-22T09:07:20Z | - |
dc.date.available | 2024-09-22T09:07:20Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | FACULTY OF N EW I NFORMATION AND C OMMUNICATION T ECHNOLOGIES | en_US |
dc.identifier.uri | https://dspace.univ-ouargla.dz/jspui/handle/123456789/36771 | - |
dc.description.abstract | The 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.sponsorship | Department of Computer Science and Information Technologies | en_US |
dc.language.iso | en | en_US |
dc.publisher | KASDI MERBAH UNIVERSITY OUARGLA | en_US |
dc.subject | Smart aquaculture | en_US |
dc.subject | Industry 4.0 | en_US |
dc.subject | IoT | en_US |
dc.subject | fish monitoring | en_US |
dc.subject | sustainable development | en_US |
dc.title | AQUALINK IOT platform for smart aquaculture In the context of industry 4.0 | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Département d'informatique et technologie de l'information - Master |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FENIK - BAPANOUI.pdf | 4,21 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.