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 Goswami, Indian Institute of Technology, India
Title : DNA barcoding as a tool for biodiversity and ecological assessment in african freshwater systems: A case study of upper section of River Mpanga, Uganda
Basooma Rose, BOKU University, Austria
Title : Spatial refuge and reproductive potential of the vulnerable the picked dogfish (Squalus acanthias) in the Georgian black sea: Evidence from experimental trawl survey
Guranda, National Environmental Agency, Georgia
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 :
Kidanie Misganaw Bezabih, University of Gondar, Ethiopia
Title : Eco friendly bioremediation: Azolla pinnata as a natural shield against hexaconazole toxicity in cyprinus carpio (LINNAEUS, 1758)
Mandeep Kaur, Panjab University, India