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Integrating artificial intelligence (AI) into fisheries and aquaculture promises a paradigm shift toward sustainability and efficiency, driving the blue revolution. This chapter highlights diverse AI applications that enhance productivity, sustainability, and resource management in these sectors. In capture fisheries, AI-powered real-time decision support systems identify potential fishing zones, optimize fuel use, and ensure regulatory compliance, safeguarding marine ecosystems. Combined with underwater imaging or acoustic surveys, neural networks enable automated species identification, population assessments, and biomass estimation for sustainable fisheries management. Unmanned aerial vehicles (UAVs) and AI systems support environmental monitoring, such as detecting harmful algal blooms and analyzing biodiversity data. AI-driven automation of fish landing data via computer vision streamlines fish identification and quantification, cutting labor costs and improving management. IoT sensors and machine learning provide critical data for adapting to climate change, bolstering fishing community resilience. AI advances precision farming in aquaculture through optimized site selection, feeding protocols, growth tracking, water quality monitoring, and disease management. Machine learning personalizes feeding, while image analysis enables early disease detection and timely interventions. Innovative technologies such as underwater robotics, drones, and predictive analytics revolutionize monitoring, maintenance, and resource efficiency. AI-driven behavioral analysis offers insights into fish trajectories, feeding patterns, and stress levels, enabling precise environmental management. Climate-resilient innovations, including adjustable-depth cages and integrated multi-trophic aquaculture (IMTA), foster balanced ecosystems, improve nutrient recycling, and reduce waste. Through comprehensive AI adoption, fisheries and aquaculture can minimize resource wastage, enhance ecological sustainability, and strengthen their role in global food security and marine biodiversity conservation.

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Artificial Intelligence for the Blue Revolution: Advancing Fisheries and Aquaculture Management

  • 章节

  • 发表日期：

    2026年

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  • Eldho Varghese,
  • K. R. Sreenath,
  • J. Jayasankar,
  • V. V. R. Suresh

摘要

Integrating artificial intelligence (AI) into fisheries and aquaculture promises a paradigm shift toward sustainability and efficiency, driving the blue revolution. This chapter highlights diverse AI applications that enhance productivity, sustainability, and resource management in these sectors. In capture fisheries, AI-powered real-time decision support systems identify potential fishing zones, optimize fuel use, and ensure regulatory compliance, safeguarding marine ecosystems. Combined with underwater imaging or acoustic surveys, neural networks enable automated species identification, population assessments, and biomass estimation for sustainable fisheries management. Unmanned aerial vehicles (UAVs) and AI systems support environmental monitoring, such as detecting harmful algal blooms and analyzing biodiversity data. AI-driven automation of fish landing data via computer vision streamlines fish identification and quantification, cutting labor costs and improving management. IoT sensors and machine learning provide critical data for adapting to climate change, bolstering fishing community resilience. AI advances precision farming in aquaculture through optimized site selection, feeding protocols, growth tracking, water quality monitoring, and disease management. Machine learning personalizes feeding, while image analysis enables early disease detection and timely interventions. Innovative technologies such as underwater robotics, drones, and predictive analytics revolutionize monitoring, maintenance, and resource efficiency. AI-driven behavioral analysis offers insights into fish trajectories, feeding patterns, and stress levels, enabling precise environmental management. Climate-resilient innovations, including adjustable-depth cages and integrated multi-trophic aquaculture (IMTA), foster balanced ecosystems, improve nutrient recycling, and reduce waste. Through comprehensive AI adoption, fisheries and aquaculture can minimize resource wastage, enhance ecological sustainability, and strengthen their role in global food security and marine biodiversity conservation.