NFT Hydroponic Control Using Mamdani Fuzzy Inference System
Indra Agustian, Bagus Imam Prayoga, Hendy Santosa, Novalio Daratha,, Ruvita Faurina
TL;DR
This paper presents an IoT-enabled nutrient control system for NFT hydroponics using a Mamdani Fuzzy Inference System to effectively normalize pH and TDS levels, improving plant growth and disease resistance.
Contribution
It introduces a novel fuzzy logic-based control system for nutrient management in NFT hydroponics with real-time IoT monitoring and effective normalization of pH and TDS levels.
Findings
The control system normalizes pH and TDS in one control step.
pH normalization response time is approximately 60 seconds.
The system operates effectively based on simulations and experimental data.
Abstract
The Nutrient Film Technique (NFT) method is one of the most popular hydroponic cultivation methods. This method has advantages such as easier maintenance, faster and optimal plant growth, better use of fertilizers, and less deposition. The disadvantages of NFT include the consumption of electrical power and the faster spread of disease. Therefore, NFT requires a good nutrient control and monitoring system to save electricity and achieve optimal growth and resistance to pests and diseases. In this study, a nutrient control was designed with indicators of pH and TDS levels and equipped with an Internet of Things (IoT) based monitoring system. The control system used is the Mamdani Fuzzy Inference System. The output of the system is the active time of the pH Up, pH Down, and AB Mix nutrient pumps, which aim to normalize the pH and TDS of nutrient liquids. The experimental results show that…
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