SWF – Stockholm Water Foundation

I am a passionate and ambitious student from Cyprus with a strong interest in Technology, Computer Science, and innovation.As a huge football fan, I have always been interested in football fields and the way they are maintained, which is what inspired me to become involved in an intelligent water management project for football pitches.

Beyond academics, I am a creative and energetic person who enjoys dancing and listening to music, as they help me express myself and stay motivated. I am always eager to learn new skills, collaborate with others, and challenge myself through projects that combine creativity, technology, and innovation.

A Machine Learning-Driven System for Football Field Irrigation using Satellite Analysis and Low Cost IoT Electronics

This project presents an intelligent, data-driven irrigation framework designed to regulate severe water scarcity in football field management, with a specific focus on the extreme water-stressed climate of Cyprus. Our system transitions traditional experience-based watering habits into a precise, automated decision-support system. The architecture integrates multi-level technology: ground-based capacitive soil moisture and AHT10 temperature and humidity sensor managed by a Kypruino UNO+ microcontroller, remote sensing data from the ESA Sentinel-2 mission, and cloud-based machine learning analytics. While initial deployment between January to March 2026 required manual data logging due to localized ESP8266 Wi-Fi connectivity limitations, an app was fully coded and optimized between April to June 2026. Our model using Ridge Regression and XGBoost models established a high-accuracy correlation between…

Nefeli Christodoulou

A Machine Learning-Driven System for Football Field Irrigation using Satellite Analysis and Low Cost IoT Electronics