Automation and Control of Hydroponic Farming Using Labview Interfaces, Arduino and Machine Learning

The processing at the central control interface shall be done through LabVIEW. LabVIEW shall display real- time sensor readings, actuate actuators such as pumps, valves, and lights, and develop feedback mechanisms through PID control loops regulating parameters. Thus, automation will maintain precisely those factors most important to the health and productivity of plants stable. For greater efficiency, the system is encoded with Machine Learning algorithms which analyze both historical and live data in search of growth patterns and forecast optimized control actions.