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dc.contributor.authorM., Abdullah
dc.contributor.authorS., M., Idrus
dc.contributor.authorK., M., Yusof
dc.contributor.authorA., I., Azmi
dc.contributor.authorW., Ismail
dc.contributor.authorK., H., Kamaludin
dc.contributor.authorN., Ali
dc.contributor.authorA., Rani
dc.contributor.authorF., Yusof
dc.date.accessioned2022-04-22T01:08:17Z
dc.date.available2022-04-22T01:08:17Z
dc.date.issued2021-12
dc.identifier.citationInternational Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 237-243en_US
dc.identifier.issn1985-5761 (Printed)
dc.identifier.issn1997-4434 (Online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/75035
dc.descriptionLink to publisher's homepage at http://ijneam.unimap.edu.myen_US
dc.description.abstractIn present time, it is common for any monitoring system to incorporate Internet of Things (IoT) to provide online real-time data. In this project, smart aquaculture monitoring system was developed by combining Wireless Sensor Network (WSN) and Wi-Fi module. In order to verify the system performance, the smart aquaculture monitoring system was tested at actual site located at Fisheries Research Institute (FRI), Gelang Patah, Johor. Three types of sensors (pH, dissolved oxygen and temperature) were deployed in a shrimp pond to monitor the water quality continuously in real-time. The data collected by this system is further analyzed to understand the system stability for different setup. From measurement performed at the site, optimum working condition of system was successfully identified. The system able to provide reliable and accurate data when compared to commercial device used by FRI. Implementation of a smart online monitoring system reduces the use of manpower for monitoring and ensures the water quality is maintained at the acceptable level.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subject.otherInternet of thingsen_US
dc.subject.otherWireless sensor networken_US
dc.subject.otherWater qualityen_US
dc.subject.otherDissolved oxygenen_US
dc.titleField trial and performance evaluation of IoT smart aquaculture monitoring system for brackish water shrimp farmen_US
dc.typeArticleen_US
dc.identifier.urlhttp://ijneam.unimap.edu.my
dc.contributor.urlsevia@utm.myen_US


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