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dc.contributor.authorOpio, Marvin Stephen
dc.date.accessioned2024-04-08T06:50:32Z
dc.date.available2024-04-08T06:50:32Z
dc.date.issued2024-04-02
dc.identifier.citationOpio, Marvin Stephen. (2024). A system to monitor water PH, temperature, and ammonia levels in Fish ponds using Industrial IOT. (Unpublished undergraduate dissertation) Makerere University. Kampala,Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/18602
dc.descriptionA final Year Project Report submitted to the School of Engineering in Partial fulfillment for the requirement of the award of the Degree of Bachelor of Science in Electrical Engineering of Makerere University.en_US
dc.description.abstractIn aquaculture, the quality of the pond water in the production systems can significantly affect the aquatic organism’s health and the costs associated with getting a product to the market. However, suppose the PH level, ammonia level and the temperature of the pond water are not suitable. In that case, the following situation could occur, primary production, as well as natural feed for fish, will not be sufficient, the growth of fish will be slow, and much more supplementary feed will be required. Therefore, it is necessary to clearly understand how these water quality parameters are affecting fish production in any fish pond system, and hence monitor them in real time. In this project report, we exploit and utilize the existing embedded systems and IoT technologies as a foundation for development. The algorithm to do this involves the use of microcontrollers, sensors, a cloud platform, mobile and web dashboards, and an actuator idea to achieve real-time monitoring of the PH levels, ammonia levels and temperature of the pond water. Also in this report, we show the use a water pump as an actuator to enable prompt action and measures to be taken in case of any anomalies or deviations from the standard parameter thresholds. This helps the fish farmers to make informed decisions regarding the water quality or resource management. To monitor water quality in real time, we placed the PH sensor, the DHT temperature sensor, and the Ammonia (MQ gas) sensor connected to Arduino in water of various chemical and physical properties and observed how their values varied. We calibrated the sensors used in the system design to achieve the precise values. The results were then displayed on Blynk mobile applications and a web dashboard after the system connected to the internet. The captured data can be accessed anywhere and at any time remotely as long as the internet bandwidth is available. In order to analyze the performance and efficiency of the system, a viable methodology was used where the components of the system were obtained, the system designed and tested throughout the process.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectWater PHen_US
dc.subjectWater temperatureen_US
dc.subjectWater ammonia levelsen_US
dc.subjectFish pondsen_US
dc.titleA system to monitor water PH, temperature, and ammonia levels in Fish ponds using Industrial IOTen_US
dc.typeThesisen_US


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