Computer aided hydroponics with reinforcement learning

Date
2019
Authors
Ofosuhene, Stephan Nyarko
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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
Keywords
hydroponics, Internet of Things (IoT), micro-controllers, Arduino, reinforcement learning
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