Because the change of nutrient strength of our systems can be modelled as a linear system with respect to nutrient delivery it should be possible to implement a very simple self tuning control system based on the system model. Why a Self Learning system: -System only needs to be roughly defined -Adapt for pump wear -Adapt for a change in nutrient source strength -Plug and Play for a wide variate of Systems -No problem dealing with the Lag between delivery and stable reading For More Information see: https://hackaday.io/project/7008-fly-wars-a-hackers-solution-to-world-hunger/log/25604-self-optimising-automated-arduino-nutrient-doser Source Code: www.MichaelRatcliffe.com/Projects https://www.element14.com/community/community/design-challenges/vertical-farming/blog/2015/09/13/automated-green-house-blogs-main-page Related PostsArduino Raspberry Pi Automated Indoor Farming Control and Data MonitoringArduino Raspberry Pi Automated Indoor Farming Control and Data MonitoringNIWeek 2017: Automated Hydroponics System Integrated with OPC UA Using LabVIEWArduino Hydroponics Controller4 DIY Hydroponics Systems (Rotating Garden, Ebb Flow Flood & Drain, Arduino Controller, Mini Tanks)Hydroponics for Beginners (Tent Starter Kit ,Flood & Drain, Vertical Aeroponics, Doser)
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