There are several obstacles against soil cultivation, which encourages indoor farming using techniques such as hydroponics, where the required nutrients are absorbed more efficiently. In the present study, a hydroponic system was designed for a very advantageous plant known as Arugula, which is highly sensitive to light intensity for its nitrate absorption to be controlled properly. The technique utilized for monitoring the growth environment was the Internet of Things, involving data transmission over the Internet with no need for human-computer interaction. The data collected by the sensors on the variables temperature, humidity, and light intensity were sent to a Raspberry Pi board via the Message Queuing Telemetry Transport communication protocol. After the sensed data were received, data analysis techniques were employed for specification of the differences between them and, hence, of the light with positive effects on the plant growth. For that purpose, the system was divided into seven boxes, each containing a number of LEDs of different colors providing artificial light, which were turned on and off twice a day, and there was also a control box only with sunlight. A total of 7878.5 packets, out of the 8,352 possible, were sent, which indicated a reliability of 94.33 percent. The maximum and minimum values reported by the sensors for the entire greenhouse included 32 and 9 for temperature, 95 and 22 for humidity, and 35605 and 0 for light intensity. The obtained data could be viewed on a web page on a daily, monthly, or real-time basis and for specific boxes.
