Green Aquaculture Practices: Promoting Sustainable Aquaculture Techniques to Enhance Productivity While Preserving Marine Ecosystems
Department of CSE, Vignan’s Institute of Information Technology (A), Visakhapatnam
Abstract
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.
Open Access Attribution License
Distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0).
Related Articles
Recommended based on authorship, section domain, and shared keywords
Markandeya Gupta N, Ch Manohar Kumar, V. Mutyala Naidu
Gulshan Sribabu Thorlapati, Chekatla Swapna Priya, Suseela Kocho
CheekatlaSwapna Priya, S Naga Mallik Raj, Gulshan Sri Babu Thorlapati, G. Madhavi
Swapna Priya Chikatla, Thorlapati Gulshan Sri Babu, S Naga Mallik Raj