Greenhouses are climate-controlled environments that allow maintaining the ideal conditions for plant development. A large proportion of these structures are controlled manually to keep within the range of desired parameters such as temperature, humidity, pH, and heat index, requiring one or more operators to repeatedly visit the greenhouse. Autonomous control and monitoring of these variables through sensors, actuators, and modules that allow the combination of the Internet of Things (IoT) applied to these technologies provide a good performance in plant growth, since it can store and access records in the cloud at any time over platforms such as ThingSpeak and Blynk. This paper is oriented to planning an autonomous deep water culture hydroponic system that saves water resources and produces under limited environmental conditions. For this reason, a prototype has been developed, which includes a Real-Time Clock (RTC) module, a level sensor (9SSE1), and a temperature and humidity sensor (DHT11), which send the data to the NodeMCU (development board with IoT platform) that will process the information to control the coolers, light bulb, buzzer, and greenhouse lights.