Water Quality Control for Shrimp Pond Using Adaptive Neuro Fuzzy Inference System : The First Project

Shrimp farming becomes the main commodity of society in Madura Island East Java Indonesia. Because of Madura island has a very extreme weather, farmers have difficulty in keeping the balance of pond water. As a consequence of this condition, there are some farmers experienced losses. In this study a...

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Bibliographic Details
Published in:Journal of physics. Conference series 2018-01, Vol.953 (1), p.12134
Main Authors: Umam, F, Budiarto, H
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive systems
Antidotes
Artificial neural networks
Control methods
Dissolved oxygen
Farmers
Fuzzy logic
Manual control
pH control
Physics
Ponds
Quality control
Water levels
Water quality
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Summary:Shrimp farming becomes the main commodity of society in Madura Island East Java Indonesia. Because of Madura island has a very extreme weather, farmers have difficulty in keeping the balance of pond water. As a consequence of this condition, there are some farmers experienced losses. In this study an adaptive control system was developed using ANFIS method to control pH balance (7.5-8.5), Temperature (25-31°C), water level (70-120 cm) and Dissolved Oxygen (4-7,5 ppm). Each parameter (pH, temperature, level and DO) is controlled separately but can work together. The output of the control system is in the form of pump activation which provides the antidote to the imbalance that occurs in pond water. The system is built with two modes at once, which are automatic mode and manual mode. The manual control interface based on android which is easy to use.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/953/1/012134