Optimizing Water Management: An IoT-Driven Approach to Smart Irrigation

This paper presents an IoT-based smart irrigation system designed to optimize water usage and improve crop growth by providing real-time monitoring and automated control of key water parameters. The system integrates soil moisture, temperature, and humidity sensors with microcontrollers, transmitting data to a cloud platform for remote access via an intuitive user interface. This eliminates manual data collection and allows farmers to monitor and adjust irrigation settings in real time. The architecture is flexible, easy to implement, and adaptable to different crops. Results show significant improvements in water efficiency and crop yields, with future work to incorporate predictive irrigation through machine learning.