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 : Utilizing art to enhance learning STEM subjects required for aquaculture
Joni Lee Giovanna Hesley, Emerita CropKing, United States
Title : Advancing disease resistance in largemouth bass: Effects of ß glucan on immunity and survival rates
Liang Liu, KEMIN, Belgium
Title : Antimicrobial resistance and biosecurity in aquaculture
Pani Prasad Kurcheti, Fisheries University, India
Title : Haringhata fish: A concept of responsible farming with sensible marketing for better livelihood and sustainable development
Subhas Das, The University of Burdwan, 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 RAS, Russian Federation
Title : Shifting horizons in global ornamental fish trade: Trends, transitions, and emerging market dynamics
Atul Kumar Jain, Ornamental Fisheries Training and Research Institute, India