The purpose of this thesis is to look into the development and assessment of a (long-range wide area network) LoRaWAN-based system for monitoring water quality in real time under various conditions. Our research uses long-range (LoRa) technology to address the shortcomings of earlier methods and offer a more effective and scalable alternative.Our goal was to create a complete framework that would use LoRaWAN to gather, transmit, and analyze data about water quality. This involved choosing and combining LoRaWAN modules with sensors for vital indicators. A central server for data processing, gateways, and sensor nodes made up the network architecture.Experiments conducted in the field demonstrated that our system measures the water quality constantly and correctly, offering long-term and sustainable operation with low power consumption and broad coverage. Although there were some issues with sensor calibration and the reliability of data transmission, LoRaWAN's advantages—such as its affordability, scalability, and operational efficiency—were evident. In addition to recommendations for future improvements in data analytics and sensor integration, our study provides an extensible real-time monitoring solution.