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.
Ofosuhene, S (2021). COMPUTER AIDED HYDROPONICS WITH REINFORCEMENT LEARNING. Afribary. Retrieved from https://track.afribary.com/works/computer-aided-hydroponics-with-reinforcement-learning
Ofosuhene, Stephan "COMPUTER AIDED HYDROPONICS WITH REINFORCEMENT LEARNING" Afribary. Afribary, 21 Mar. 2021, https://track.afribary.com/works/computer-aided-hydroponics-with-reinforcement-learning. Accessed 27 Nov. 2024.
Ofosuhene, Stephan . "COMPUTER AIDED HYDROPONICS WITH REINFORCEMENT LEARNING". Afribary, Afribary, 21 Mar. 2021. Web. 27 Nov. 2024. < https://track.afribary.com/works/computer-aided-hydroponics-with-reinforcement-learning >.
Ofosuhene, Stephan . "COMPUTER AIDED HYDROPONICS WITH REINFORCEMENT LEARNING" Afribary (2021). Accessed November 27, 2024. https://track.afribary.com/works/computer-aided-hydroponics-with-reinforcement-learning