This article presents a research proposal for an IoT enabled, AI-driven Green Aquaculture framework integrating Recirculating Aquaculture Systems (RAS), Integrated Multi Trophic Aquaculture (IMTA), and edge intelligence. Conventional aquaculture faces pressure from environmental damage and global protein demand. The proposed system utilizes deep learning models, specifically YOLO architectures, for real-time fish behavior monitoring, biomass estimation, and precise feeding control. Central to this framework is the “Self Healing Ecosystem” concept, where machine learning optimizes the balance between fed and extractive species to achieve zero waste discharge. This work aligns with India’s Pradhan Mantri Matsya Sampada Yojana (PMMSY) to move toward a sustainable, high-tech aquaculture model.
This article presents a research proposal for an IoT enabled, AI-driven Green Aquaculture framework integrating Recirculating Aquaculture Systems (RAS), Integrated Multi Trophic Aquaculture (IMTA), and edge intelligence. Conventional aquaculture faces pressure from environmental damage and global protein demand. The proposed system utilizes deep learning models, specifically YOLO architectures, for real-time fish behavior monitoring, biomass estimation, and precise feeding control. Central to this framework is the “Self Healing Ecosystem” concept, where machine learning optimizes the balance between fed and extractive species to achieve zero waste discharge. This work aligns with India’s Pradhan Mantri Matsya Sampada Yojana (PMMSY) to move toward a sustainable, high-tech aquaculture model.
The authors declare that no competing interests exist in relation to this published work.