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 : Application of artificial intelligence and NISAR satellite to study the air sea CO2 exchange and aquatic toxicology to develop ‘Aquatic Pollution Remediation Technologies’(PART)
Virendra Kumar Goswami, Indian Institute of Technology, India
Title : Conditionally pathogenic microparasites (Microsporidia and Myxosporea) of mullet fish potential objects of mariculture in the black and azov seas
Violetta M Yurakhno, A. O. Kovalevsky Institute of Biology of the Southern Seas of Russian Academy of Sciences, Russian Federation
Title : Seasonal habitat shifts and purse seine dependence of mene maculata in the Taiwan strait: Early indicators of climate driven ecosystem change
Ipsita Biswas, National Taiwan Ocean University, Taiwan
Title : National action plan for sustainable and resilient fisheries aquaculture system in Pakistan
Nazia Sher, National Institute of Maritime Affairs, Pakistan
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 : Trends in fish value chain improvement in Rift Valley Lakes and Lake Tana, Ethiopia
Kidanie Misganaw Bezabih, University of Gondar, Ethiopia