Implementation of an Indoor Deep Water Culture Farming System Using IoT

Abstract

Rapid growth in urbanization and swift shrinkage in soil fertility puts adverse effects of over-farming in the reduced land area, resulting in a generation shift expected from traditional farming to its alternative. Hydroponic farming came as one of the solutions to this problem. In this work, we demonstrated the design and testing of a hydroponics-based agriculture system, where IoT devices are utilized for monitoring and controlling different parameters. Temperature, humidity, air quality, and water level sensors are mounted and interfaced with the microcontroller to monitor respective data from the plantation area. Data transmission to the Cayenne cloud is carried out, and the real-time data can be viewed via the Blynk app as well as offline on LCD. The data in the Cayenne cloud is analyzed to improve productivity in agriculture and hydroponics. The data collected from source sensors are stored in the cloud as information and shared publicly. The system also consists of a fire sensor to alert the user in case of any emergencies. There is an automation part that will check the water level and fill the tub with water. The proposed system is developed and validated experimentally for an indoor system.