Smart Aquaponics with Integration of AI and IoT for Yield Enhancement through Real-Time Monitoring and Decision Support

Abstract

Technological advancements have become the key factor for major changes and upgradations in numerous industries and domain. Agriculture is no exception, technology stacks like IoT and AI are being integrated into agriculture up to a large extent starting from best crop prediction to crop health analysis, nutrient analysis to yield prediction. The intervention of technology is even more prominent in various smart agriculture methods including aquaponics, hydroponics, etc. Aquaponics is a sustainable method of agriculture, that combines aquaculture (fish farming) with hydroponics. This innovative system allows for the cultivation of fish and plants simultaneously, enabling a symbiotic relationship that enhances nutrient recycling. To lead the way for smart aquaponics, as technology continues to advance, the integration of artificial intelligence (AI) and the Internet of Things (IoT) holds immense potential for transforming traditional aquaponics into smart aquaponics. By harnessing real-time monitoring and decision support, AI and IoT can revolutionize various aspects of aquaponics that includes a major paradigm shift in agriculture, promising increased productivity, reduced resource usage, and improved environmental conservation. This article explores the transformative potential of leveraging AI and IoT technologies in aquaponics systems for yield enhancement, sustainability, and overall efficiency.