• hydroponic green house
• Internet of Things
• LoRa
• NGSI-LD
• Node-RED.
• smart agriculture

In the agricultural sector, climate change with water bombs and drought periods, leads us to search solutions in terms of efficient use of resources, especially water, and to create weather independent systems. Monitor and control the growth of the plants and environmental parameters is essential in Smart Agriculture for making farms and greenhouses more intelligent and efficient. Farmers must be equipped with specific and customized monitoring system that they can access remotely to analyze data. This thesis proposes a new modular system architecture that allows to create new services without starting over and redesigning the whole system from scratch whenever it is necessary to add new monitoring devices or new functionalities, such as closed control loop or GUI, to increment rapidly new services for precision agriculture. We implement an autonomous hydroponic greenhouse that keeps environmental parameters stable and grows tomato plants in an ideal environment. Environmental conditions are automatically regulated through actuators that receive commands from a cloud application. For making decisions, this application leverage a PID control algorithm and control commands are transmitted via the MQTT protocol with NGSI-LD message format. In addition, LoRa modulation at 2.4 GHz is used to connect IoT devices to a gateway. All monitored data are made available to the end-users through a dashboard of a smartphone app.