Email this article Low-Cost Anti-Cannibalistic IoT Prototyping for Sustainable Catfish Farming
Abstract
Abstract: As the global demand for food rises, the aquaculture industry faces challenges in meeting this demand while minimizing environmental impact and ensuring sustainable practices. This paper explores the design, and implementation of a low-cost Internet of Things (IoT) solution tailored to enhance sustainability by minimizing cannibalism during catfish production. The proposed system integrates sensor technologies, data analytics, and automation to monitor and manage crucial parameters that influence cannibalism within catfish farming environments. Sensors are deployed to measure water quality, temperature, dissolved oxygen levels, light intensity, and feeding conditions, providing real-time data to a centralized control system. The implementation of a low-cost IoT system will optimize resource efficiency as well as improve the overall health and growth of the catfish, resulting in higher yields and economic viability for subsistence and commercial farmers. The findings suggest that the integration of IoT technologies in catfish farming can help reduce cannibalism which is a major contributor to financial losses among African catfish farmers. The insights from this study contribute to a broader discourse on leveraging IoT for sustainable agriculture practices and highlight the potential for similar systems in addressing challenges across diverse sectors of the aquaculture industry.
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