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Embedded systems connected to the global network (IoT) are increasingly entering all areas of science. Network connectivity makes it possible to transfer information obtained in the field to the cloud in a very short time, where, thanks to processing, it is possible to draw important conclusions and determine the further course of a particular process. In the field of agronomy, environmental and process variables are improving cultivation by reducing the cost of sensors and electronic components. By analysing the characteristics of environment and nutrients, it is possible to discover their relationship with cultivation. The necessary environmental variables were found in recent papers and new ones are introduced according to project team. With proposed greenhouse architecture, we tried to achieve the most reliable and accurate measurement with the lowest possible project cost. The proposed architecture allows for scalability by changing the number of nodes or sensors. The software design controls the frequency of measurements and the unit of accuracy. The data is transferred to the cloud in a very short time and is insured against losses in case of network connectivity disruption. The paper presents preliminary results of the working system.
Embedded system ; IOT ; Sensor ; Agronomy ; Hydroponic
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