Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/28462
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dc.contributor.authorNur Anas Sobri-
dc.contributor.authorIzanoordina Ahmad-
dc.contributor.authorSiti Marwangi Maharum-
dc.contributor.authorZuhanis Mansor-
dc.contributor.authorAbdul Halim Abd Rahman-
dc.contributor.authorAzman Abdul Aziz-
dc.contributor.authorUniKL BMI-
dc.date.accessioned2023-08-07T04:25:45Z-
dc.date.available2023-08-07T04:25:45Z-
dc.date.issued2023-08-07-
dc.identifier.urihttp://hdl.handle.net/123456789/28462-
dc.descriptionThis article is indexed by Scopusen_US
dc.description.abstractHydroponic farming is gaining international attention due to its successful stockpiling of water and the development of high-quality foods. Formerly, majority of gardeners and farmers employed manual techniques and work. This has give impact on present and future food demand since the traditional farming system will not be able to meet due to urbanization, natural disasters, and climate change, among other factors. Therefore, the goal of this project is to design and develop the prototype of the hydroponics system and data monitoring in real time via IoT as well as to test the performance by collecting real-time data. The project used Arduino-Uno to control the system and to receive the readings from all of the sensors, such as pH, temperature, EC and water level. The Wi-Fi module will transmit the data wirelessly to ThingSpeak and Spreadsheet, allowing the farmer to monitor the plant performance through the use of an Internet of Things. Results show that the parameters fulfill the requirement by the proper guideline. Thus, the farmers could monitor the temperature and lighting schedules based on the sensors data, which will boost plant productivity and address other agricultural issues.en_US
dc.language.isoen_USen_US
dc.subjecthydroponic farmingen_US
dc.subjectAgricultureen_US
dc.subjectInternet of Thingsen_US
dc.subjectMicrocontrolleren_US
dc.subjectThingSpeaken_US
dc.subjectSpreadsheeten_US
dc.titleDevelopment of Hydroponics System and Data Monitoring Using Internet of Thingsen_US
dc.typeArticleen_US
dc.conference.name8th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA, 27 – 28 September 2022, pages 345-349en_US
dc.conference.year2022en_US
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