Computer aided hydroponics with reinforcement learning

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dc.contributor.authorOfosuhene, Stephan Nyarko
dc.date.accessioned2020-05-11T11:20:35Z
dc.date.available2020-05-11T11:20:35Z
dc.date.issued2019
dc.descriptionCapstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Computer Engineering, April 2019en_US
dc.description.abstractHydroponics, a system of growing crops without soil, has been successfully used to grow crops on a commercial scale. Hydroponics has the potential to fill the gap of low agricultural production in Ghana due to its high efficiency while serving as an environmentally friendly alternative to soil culture. This method of farming has benefitted from new technologies like IoT and machine learning that make it possible to integrate intelligent agents in the management of hydroponic systems as well as collecting live data. These technologies allow for increased automation and refined control of hydroponic systems. This paper details the development and implementation of a hydroponic system equipped with intelligent agents for control and internet enabled monitoring, data collection and storage.en_US
dc.description.sponsorshipAshesi Universityen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11988/541
dc.language.isoen_USen_US
dc.subjecthydroponicsen_US
dc.subjectInternet of Things (IoT)en_US
dc.subjectmicro-controllersen_US
dc.subjectArduinoen_US
dc.subjectreinforcement learningen_US
dc.titleComputer aided hydroponics with reinforcement learningen_US
dc.typeCapstone projecten_US

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