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 : Variations in nutritional and bioactive properties of north atlantic sea cucumber (cucumaria frondosa): role of seasonality, location, and processing
Amit Das, Memorial University of Newfoundland, Canada
Title : A preliminary investigation into the possibility of domestication of solafunmi (sierrathrissa leonensis) as an aquarium fish for ornamental purpose
Olayimika, Federal University of Technology, Niger
Title : Relationship between shapes and glass thicknesses on water holding capacity of 60 litres aquaria
Olayimika, Federal University of Technology, Niger
Title : Climate change adaptation among fishers in the gulf of kutch: experiences and insights
Monika Makwana , Indian Institute of Technology, India
Title : Site suitability analysis for sea cucumber mariculture in the coastal area of Bangladesh
Muhammad Mizanur Rahman, Shahjalal University of Science and Technology, Bangladesh
Title : Sustainable fisheries management through community based monitoring of iuu fishing along the sindh coast, arabian sea in north indian ocean, Pakistan
Muhammad Naeem Khan, University of the Punjab, Pakistan