Development and Deployment of an Intelligent Aquaculture System Utilizing Integrated Sensor Networks for Optimized Sensing and Automated Control
Abstract
The challenges in farming practice led to environmental unsustainability and resource intensity. To address the problems, an intelligent aquaculture-crops integration system was developed to enhance productivity and minimize input costs. The research purpose is to design a smart, automated framework that combines fish farming and cucumber cultivation in a closed-loop system. The system would enable efficient water reuse, nutrient recycling, and real-time control. An area of 1250 m2 of farmland is divided into six cucumber sections, supported by a fish pond which provides a nutrient-rich wastewater for irrigation. An Arduino-based microcontroller was connected with an array of different soil sensors to enable monitoring and automated control of water pumps that feed the crops. A solar-powered subsystem was installed to ensure a reliable operation in off-grid failure. The system can be controlled from anywhere using a mobile phone to facilitate remote access and management. Results showed that key environmental parameters remained within recommended ranges, confirming system stability and effectiveness. The reuse of aquaculture wastewater significantly improved cucumber growth and reduced dependence on chemical fertilizers. The findings demonstrate that the system enhances water-use efficiency, productivity, and sustainability. Its advantages include reduced environmental impact, energy independence, and cost efficiency. The research has strong implications for institutional and national development by providing a walkable model for smart agriculture, which will improve food security and promote renewable energy adoption.
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