Artificial Intelligence in Fisheries (eBook, ePUB)

Transformative Potentials and Challenges
Redaktion: Izah, Sylvester Chibueze; Iyiola, Adams Ovie; Ogwu, Matthew Chidozie

• Format: ePub

Produktbeschreibung

Artificial Intelligence in Fisheries delves into the transformative role of AI in the fisheries and aquaculture. It provides a comprehensive overview of how AI applications-from fish stock assessment and environmental monitoring to sustainable aquaculture and policy development-are revolutionizing the sector. By enhancing data-driven decision-making, increasing efficiency, and addressing ecological challenges, this book serves as a practical guide for scientists, industry professionals, and policymakers.

With contributions from experts, scholars and practitioners, the book brings together theoretical foundations and real-world applications to explore AI's potential to drive sustainable practices in fisheries. Readers will gain insight into how AI can help optimize resource use, protect endangered species, and promote responsible fishing practices. It offers valuable perspectives and actionable strategies to support the future of sustainable fisheries and aquaculture.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 320
• Erscheinungstermin: 26. August 2025
• Englisch
• ISBN-13: 9781040445877
• Artikelnr.: 75006346

Autorenporträt

Sylvester Chibueze Izah is a faculty member and Assistant Director of Academic Planning, Research, and Innovations at Bayelsa Medical University, Nigeria. With over 250 peerreviewed publications, his expertise spans sustainable humanenvironmental health interactions, encompassing air, soil, water quality, toxicology and sustainability. Matthew Chidozie Ogwu, Assistant Professor at Appalachian State University, USA, specializes in socio-ecological systems and sustainable environmental development. He has published over 90 works on biodiversity, microbial ecology and environmental management. Adams Ovie Iyiola, a lecturer at Osun State University in Nigeria, research aquatic pollution, sustainable fisheries, and climate change dynamics. With over 40 publications, his work addresses biodiversity management and fisheries ecology.

Inhaltsangabe

Preface. Artificial Intelligence in Fisheries: Transformative Potentials
and Challenges. Data analysis and machine learning in Aquaculture: An
innovative approach. Collaborate Approaches to Sustainable Fisheries with
Artificial Intelligence. Fish Stock Assessment Using AI Algorithms.
Sustainability Through AI in Fisheries. Artificial Intelligence for
Monitoring Aquatic Pollutants: Safeguarding Ecosystem Health and
Sustainable Fisheries Development. AI-Enhanced Environmental Impact
Assessments in Recreational Fisheries. Artificial Intelligence Enhanced
Aquaculture Practices. Computer Vision for Fish Species Identification.
Deciphering Artificial Intelligence's Impact on Fisheries Policy and
Regulation for Sustainable Fisheries. Unraveling the Role of Artificial
Intelligence in the Analysis of Oceanographic Data. Job Opportunities in
the AI and Tech Sector. Promoting Responsible Fishing Practices with AI.
AI's Contribution to Endangered Species Conservation. Index.