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Water usage prediction using automated home garden watering system

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dc.contributor.author MUGOREWERA, Evelyne
dc.date.accessioned 2023-07-13T09:48:43Z
dc.date.available 2023-07-13T09:48:43Z
dc.date.issued 2022-12
dc.identifier.uri http://hdl.handle.net/123456789/2048
dc.description Master's Dissertation en_US
dc.description.abstract The automatic systems are more chosen than manual system. Smart watering system in garden is the combination of several hardware equipment and software applications that trigger the water usage with respect to the given threshold. This IoT system maintains proper usage of water used in home garden watering system. The threshold is set based on humidity, temperature and moisture of soil parameters inputs from the soil and around the garden area. The collected data are stored, analysed and modelled using machine learning algorithms to make prediction of water consumption throughout a period of two weeks, therefore informing water suppliers about the amount of water that shall be produced in the future. To make this system more intelligent, machine learning data trains to be conducted on the system by the use of data sensed in different periods of the two weeks from Meteo Rwanda , the consideration of garden watering timetables and schedules to be considered too. en_US
dc.language.iso en en_US
dc.publisher University of Rwanda (College of science and Technology) en_US
dc.subject Water supply prediction en_US
dc.subject IoT en_US
dc.subject Artificial Neural Networks en_US
dc.title Water usage prediction using automated home garden watering system en_US
dc.type Dissertation en_US


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