Water usage prediction using automated home garden watering system
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.
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