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Design and implementation of integrated control system – sensors for “smart” greenhouses, based on Internet of Things (IoT) technologies.

Ntousakis Evangelos

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Summary

The present thesis proposes an integrated smart greenhouse control system. The system will contain sensors for continuous data collection, such as climatic variables (temperature, relative humidity, soil moisture), altitude, atmospheric pressure, and CO-CO2 concentrations. The measurements will be used to evaluate the quality, sensitivity, and durability of the sensors, as well as the stability and quality of greenhouse production. Based on the environmental measurements, each microcontroller will activate the systems (heating, irrigation, and ventilation) for the configuration of the optimal climatic conditions. Furthermore, based on the Internet of Things, wireless connectivity of components will provide real-time remote access to the environment and greenhouse equipment. This type of automation will reduce the amount of energy required for monitoring, control during the plant growth process. In addition, less energy and fewer resources will be wasted, as the actuators will only be activated when indicated by the sensors. Finally, an original model of the system will be implemented in an experimental indoor greenhouse to cross-check its operation and results. The entire system will be designed in such a way that it can be adapted to a real greenhouse regardless of dimensions and upgrade according to the needs for future work and modifications.

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