Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/858
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dc.contributor.authorTazwar, Mahi-
dc.contributor.authorAhmed, Sakib-
dc.contributor.authorHasan, Md. Riazul-
dc.contributor.authorBillah, Motasim-
dc.contributor.authorAli, M Tanseer-
dc.date.accessioned2023-01-26T11:53:09Z-
dc.date.available2023-01-26T11:53:09Z-
dc.date.issued2023-01-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/858-
dc.description.abstractThe Internet of Things (IoT) based autonomous is a rapidly expanding technology that is currently expanding its reach in all fields. Through the development of computers like Arduino and NodeMCU, innovation is reaching the grassroots with its use in agriculture and aquaculture. In this work, we've described and implemented a monitoring system for aquaculture water quality that makes use of Microcontrollers, different sensors, various motors and an IoT platform. TDS value, moisture, temperature, pH, humidity, detection of Methane, Propane etc combustible gas and cleans the other gases adsorbed under low temperature which were used in this study. Arduino handles the sensor acquisition, and the IoT platform thingspeak serves both as a server and a data monitoring device. The terminal device of this project is being used as a serial monitor. Anywhere in the world, a user can use a personal computer to check the state of sensors via Wi-Fi while within Wi-Fi range. The values of the seven parameters are analyzed to identify the estimated general state of the water and the necessary course of action. Every feature on this testing device can operate properly and with ease. The pH, moisture, and MQ9 sensor data, among others, are used to apply automation. The value of ph recorded by the ph sensor determines how automatically the selected chemicals in the pond water balance the ph level. Depending on the theoretical values of the soil's moisture, the soil around the pond receives water automatically.en_US
dc.language.isoenen_US
dc.publisherFaculty of Engineering, American International University - Bangladeshen_US
dc.relation.ispartofseries2022.2;2022.2.17-
dc.titleIOT BASED AUTONOMOUS INTEGRATED FISH, PLANT AND POULTRY FARMINGen_US
dc.typeThesisen_US
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