IoT and Artificial Neural Network-Based Water Control for Farming Irrigation System

This paper introduced a highly reliable smart irrigation system with the Internet of objects or Things (IoT) Technique and neural network architecture. Smart systems using artificial neural networks (ANN) integrated with real-time hardware applications are becoming very popular in the area of IoT. This paper aims to save the waste of water for the irrigation process by utilizing an IoT and using an artificial neural network with different sensors such as FC-28 soil sensor and DHT11 sensor for measuring humidity and temperature parameters. The designed system uses two microcontrollers (Arduino and Node MCU ESP 8266) to automatically control the water pump state to be ON/OFF and control the flow of water for irrigation based on different input parameters. Input sensors measure environmental parameters such as soil moisture, air temperature, and air-humidity factors. The designed control system includes both hardware components and software programming. The ANN technique is essential for supporting the automatic control of IoT-based agriculture irrigation systems and properly regulating water use.