Computer Aided Hydroponics With Reinforcement Learning

42 pages ID: CPE0087

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Project Details

DepartmentComputer Engineering
TypeProject
Pages42
Reference StyleYES
FormatMS Word & PDF
Reference No.CPE0087

Abstract

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 …

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Pages42
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