Σύστημα ποτίσματος IoT με συνδυασμό μετρήσεων εδάφους και μετεωρολογικών δεδομένων

Χαλβαντζής, Κωνσταντίνος

IoT irrigation system combining soil measurements and meteorological data

Bachelor Dissertation

Author

Χαλβαντζής, Κωνσταντίνος

Date

2026-02

Abstract

This thesis presents the design and implementation of a complete IoT irrigation system that combines soil measurements with meteorological data to support watering decisions and remote monitoring. The solution follows a two-node architecture: (a) an ESP32-S3 edge device that reads a soil moisture sensor, a water flow sensor, and a water tank level sensor (ultrasonic), controls a pump/relay, and provides both a local web dashboard and a 20×4 LCD status display; and (b) a Raspberry Pi Zero 2 W backend that operates as an MQTT broker (Mosquitto), stores time-series data in InfluxDB, and visualizes historical measurements and events through Grafana dashboards. Meteorological information is obtained from the OpenWeatherMap Forecast API (3-hour intervals), enabling the system to derive air temperature/humidity and rainfall forecasts (e.g., 3h/12h/24h) and to prevent unnecessary irrigation when rain is expected. The firmware implements rule-based control (thresholds) and safety mechanisms (maximum runtime, cooldown periods, emergency stop), while the web interface exposes endpoints for real-time monitoring and manual watering commands. An earlier prototype included a local environmental sensor; however, the final version retrieves air temperature and humidity from the weather API, simplifying the hardware while preserving the system’s core functionality.

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/19022

Collections

Τμήμα Πληροφορικής

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού - Μη Εμπορική Χρήση - Παρόμοια Διανομή 3.0 Ελλάδα