Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/52D088D5-B357-48CD-8E9C-5AA4FF05337F | ||
| Year | 2025 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Georgios Anastasopoulos, "Development of a wireless measurements systems for greenhouse control", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.102282 | ||
| Appears in Collections |
The present thesis focuses on the development and testing of a wireless measurement and control system for greenhouse conditions, aiming for ultra low energy consumption and reliable data collection. Initially, a variety of sensors were evaluated to cover essential parameters, including temperature, humidity (both air and soil), atmospheric pressure, light intensity, UV radiation, TVOCs and CO₂ concentration. Various microcontroller platforms were then examined, prioritizing energy efficiency, complexity, and communication range. The final solution features a centralised node system built on the Texas Instruments CC1310 platform which offers reliable low-power wireless networking over long distances.Successive iterations of nodes led to various system upgrades and the development of significant energy-saving techniques. By communicating at a 868MHz frequency and transmitting data to a central base station, this approach ensures low energy requirements and ease of installation. Data is then forwarded to a Raspberry Pi for storage in a SQLite database and visualization via Grafana, enabling real-time data access and potential for further analysis.Practical tests demonstrated the system's ability to operate for significant periods of time on battery power. A solar panel-based energy system was also designed for enhanced autonomy. The study also incorporates a weather station which records external conditions (temperature, humidity, rainfall, wind speed) enabling the comparison of external environmental variables with the greenhouse’s internal microclimate. Additionally, a magnetic sensor was developed and tested to detect window actuator positions, allowing for accurate ventilation control.The final results confirmed the reliability of the sensors and the durability of the system in daily operation. Comparisons with the external weather station highlighted the importance of simultaneous external and internal data collection to optimize conditions and improve scheduling for ventilation, heating, and irrigation systems. Overall, this work confirms that low-cost, low-power wireless technologies can significantly enhance greenhouse production, boosting crop productivity, as well as sustainability.
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