Solar-powered IoT based smart hydroponic nutrition management system using FARM

Abstract

Good nutrition and water conditions are significant in a hydroponic system. Nutrients in hydroponic systems are periodically re-mixed to target the right amount of TDS. The TDS amount needs to be regularly measured after the weather changes, namely temperature, humidity, light intensity, and rainfall. The research proposes developing a solar-powered Internet of Things (IoT) based Smart Hydroponic Nutrition Management System using Fuzzy Association Rule Mining (FARM). The system consists of an IoT connected to a TDS (Total Dissolved Solids) sensor, a relay module connected to two 5v mini pumps that supply AB Mix nutrients, and a solenoid valve to supply water. The IoT system is also connected to sensors for temperature and humidity, light intensity, and rainfall to record the causes of weather changes that cause changes in TDS in hydroponic water. FARM is used to extract fuzzy association rules (FAR) from IoT sensors. The system targets a TDS of 1200 for leafy plants such as lettuce. The system prototype was developed in a small 5×7cm single layer PCB using the wire-wrapping technique. The test results produce a standard deviation of 2.345 for the TDS average of 1196.17 and threshold 50. In one week of evaluation, three times of rain and four times of hot weather were considered to change the TDS, and seven actions of the relay module were carried out. FARM has extracted fuzzy rules with average support of 0.401 and confidence of 0.826.