AgroNeuro Guardian: An Integrated IoT-TinyML Framework for Autonomous Irrigation Control and Flood Prevention in Precision Agriculture

The AgroNeuro guardian is an IoT-based agricultural monitoring and controlling prototype that was designed and developed using ESP32, sensors, actuators. The experiment conducted above proves beyond reasonable doubt that the water-level sensor, LDR, PIR sensor, servo motor, relay, and 5V water pump were successfully operated. Indeed, the waterlevel sensor registered around 0% moisture level when it was kept in dry land and around 98% when it was kept in a wet condition. In addition, the LDR was successfully able to provide a particular digital output to operate the system. Most importantly, solar panels, TP4056 module, and a rechargeable battery were also successfully connected to the circuit. Thus, by and large, the prototype that was made is able to demonstrate the essential concept of agricultural monitoring and smart irrigation. However, there could be the following future implications, including the integration of Blynk remote monitoring system, cloud storage, intelligent irrigation, and machine learning for agricultural prediction.