Computer aided hydroponics with reinforcement learning
Date
2019
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Abstract
Hydroponics, 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.
Description
Capstone 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 2019
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Capstone project
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Keywords
hydroponics, Internet of Things (IoT), micro-controllers, Arduino, reinforcement learning