Artificial intelligence, automation, and IoT-driven solutions are transforming traditional fish farming into a highly efficient, data-driven industry. Digital & smart aquaculture technology integrates real-time monitoring systems, underwater sensors, and machine learning algorithms to optimize water quality, feeding schedules, and fish health management. Automated feeders equipped with AI analyze fish behavior, reducing waste while enhancing growth rates. Drones and remotely operated vehicles (ROVs) facilitate farm inspections, minimizing human intervention in challenging environments. Blockchain technology is also gaining traction, ensuring transparency and traceability in the seafood supply chain. Meanwhile, cloud-based platforms enable farmers to make informed decisions through predictive analytics, reducing operational risks. As the industry moves towards precision aquaculture, the adoption of Digital & Smart Aquaculture Technology enhances productivity, sustainability, and profitability, paving the way for a more resilient and environmentally responsible future in aquatic food production.
Title : Aquaculture education challenges: Integrating sustainable practices into schools
J L Giovanna Hesley, CropKing, Inc. Curriculum Development, United States
Title : The horizontal integration of a Shellfish farm in a broader business model
Perry Raso, Matunuck Oyster Farm, United States
Title : Smart fish farming: A simulation toolkit for model-based design and optimization
Daniel Quintana Garcia, School of Engineering and Sciences, Tecnológico de Monterrey, Mexico
Title : Role of artificial intelligence and remote sensing in remediation of aquatic pollution and development of Numerical Oceanic Climate Prediction Models (NOCPM)
Virendra Goswami, Indian Institute of Technology (IIT), India
Title : Sustainable aquaculture: Strategies for comprehensive improvement
Ana Claudia Sanchez Ortiz, Universidad de Guadalajara, Mexico
Title : Myxosporean fauna of East Sea marine fishes off the coast of Vietnam
Violetta M Yurakhno, A. O. Kovalevsky Institute of Biology of the Southern Seas of Russian Academy of Sciences, Russian Federation