Smart Irrigation with Recycled Water: A Promising Solution for Sustainable Farming

Abstract

This research aims to investigate the effectiveness of a sensor-based irrigation system in conserving water in agricultural activities. The system uses IoT sensors to detect the humidity, soil moisture, water level, and rain to automate the irrigation process, with a mobile application for remote monitoring and control. Results demonstrated that the sensor-based irrigation system can save up to 60% of water compared to manual irrigation methods, with estimated annual water savings per acre ranging from 1.5 million gallons for surface irrigation to 2.5 million gallons for drip irrigation. The implementation of the system showed a significant reduction in water usage compared to manual irrigation methods, providing an estimated annual water savings of up to 50% per acre. Future work involves integrating machine learning algorithms to optimize irrigation schedules and exploring the use of wireless sensor networks and cloud-based technologies for remote monitoring and control. This research highlights the importance of technology in conserving water resources in agriculture.