Artificial intelligence (AI) is transforming fisheries research by enhancing fish population estimates, predicting stock dynamics, and improving sustainability. AI analyzes ocean data to forecast climate patterns, supports species identification, and enforces regulations, reducing bycatch and waste.
Artificial intelligence (AI) is transforming fisheries research by enhancing fish population estimates, predicting stock dynamics, and improving sustainability. AI analyzes ocean data to forecast climate patterns, supports species identification, and enforces regulations, reducing bycatch and waste.
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.
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.
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