Aquaponic Plant Control and Monitoring System Using Iot-Based Decision Tree Logic

Abstract

Aquaponics is an agricultural model that combines fishing and crop cultivation in a symbiotic environment. In an aquaponics system, plant nutrients are produced by decomposing the ammonia contained in fish waste by decomposing bacteria in the nitrogen cycle. Additionally, hydroponics must consider other factors such as temperature, pH, and lighting to maximize plant and fish growth. Regular monitoring of these parameters will help maximize plant and fish growth in your aquaponics system. However, urban populations tend to be busy, making regular monitoring difficult. Based on this problem, a system was developed that can automatically control water temperature, water pH, lighting, and fish feeding in hydroponics. The developed system can also monitor the current state of important parameters in aquaponics agriculture such as water temperature, water pH, light intensity, air temperature and humidity. This monitoring can be done in real time via the website application. The water temperature and pH control in this system is based on decision tree logic that can classify control decisions with 95.41% accuracy, 97.7% precision, and 95.45% recall.