We designed and built a complete, custom-made remote monitoring system in collaboration with the university, serving as the technological cornerstone of the project. We developed both the hardware (autonomous sensor stations with batteries and solar panels) and the software, using LoRaWAN technology for wireless data transmission from hard-to-reach areas. The information is centralized on a georeferenced web platform, where it is displayed in real time on an interactive map. We also integrated an artificial intelligence module that analyzes the data, detects anomalies, generates automatic alerts, and predicts trends, supporting research and proactive water resource management.
