The Global Summit on Aquaculure & Seafood Conference - AUSTRIA 2026 is an international platform dedicated to advancing innovation, research, and collaboration in aquaculture, fisheries, and seafood industries. This two-day event will bring together global leaders, researchers, policymakers, industry professionals, and stakeholders to discuss sustainable practices, technological advancements, and future opportunities for the aquaculture and seafood sector.
✅ Who Can Attend?
Our conference is designed for a wide range of participants across the aquaculture and seafood ecosystem, including:
Researchers & Academicians – presenting the latest scientific findings.
Aquaculture & Fisheries Professionals – farmers, technologists, and practitioners.
Seafood Industry Leaders – producers, processors, exporters, and distributors.
Policy Makers & Government Representatives – shaping future strategies.
Marine Biologists & Environmentalists – focusing on sustainability and conservation.
Investors & Entrepreneurs – exploring opportunities in seafood and aquaculture ventures.
Students & Early-Career Professionals – gaining insights and career exposure.
NGOs & International Organizations – working towards global food security and blue economy.
✅ Key Benefits for Participants
CPD Authorized Certificates: All attendees will receive a Continuing Professional Development (CPD) accredited certificate, enhancing their career and professional recognition.
DOI & ISBN Publications: All accepted abstracts will be published with Digital Object Identifier (DOI) and included in an ISBN-registered conference proceedings book.
Networking Opportunities: Connect with global experts, industry leaders, and decision-makers.
Knowledge Sharing: Learn from keynote speakers, panel discussions, and technical sessions across diverse aquaculture and seafood fields.
Global Exposure: Showcase your research, products, or innovations on an international stage.
Collaborations & Partnerships: Build opportunities for research, business, and industry partnerships.
✅ Why Attend?
Be part of a prestigious CPD-authorized global conference.
Gain recognition for your research through indexed abstract publications with DOI & ISBN.
Learn about the latest technologies, sustainable practices, and policies shaping the aquaculture and seafood industries.
Network with peers, experts, and stakeholders from across the world in Austria, a global hub for innovation and trade.
This event is more than just a conference—it’s a global platform for shaping the future of aquaculture and seafood industries.
For further information, please contact the Conference Organizer:
Dr. Vanga
[email protected]
WhatsApp: +447404141173
Sustainable Aquaculture Practices & Blue Economy
Advances in Fish Farming & Hatchery Technology
Innovations in Seafood Processing, Packaging & Safety
Marine Biotechnology & Genetic Improvement in Aquaculture
Nutrition & Feed Development for Aquaculture Species
Climate Change Impact on Fisheries & Aquaculture
Aquatic Animal Health, Welfare & Disease Management
Smart Aquaculture: AI, IoT & Digital Technologies
Global Seafood Trade, Markets & Consumer Trends
Sustainable Fisheries Management & Ocean Governance
Shellfish & Crustacean Aquaculture Advances
Aquaponics, Recirculating Systems & Urban Aquaculture
Seaweed & Algal Biotechnology for Food, Feed & Pharma
Food Security & Role of Aquaculture in Future Protein Supply
Policy, Regulations & International Collaborations in Aquaculture
Journal of Artificial Intelligence, Machine Learning and Data Science (JAIMLD - ISSN: 2583-9888) is an international, peer-reviewed, open access online journal on all aspects of artificial intelligence (AI), machine learning and data science published quarterly. As technology continues to rapidly evolve, our journal serves as a platform for researchers, academics, and industry professionals to explore and contribute to the latest developments in these exciting fields.
Journal Features
- Subject: Computer Science & Engineering; Science & Technology
- All papers are published in English and online
- Frequency of publication is quarterly
- ISSN: 2583-9888
- DOI: doi.org/10.51219/JAIMLD/....
- Double blind peer review process
For more information visit : https://urfpublishers.com/journal/artificial-intelligence