Applications of Artificial Intelligence in Advancing Sustainable Fishing Practices

Artificial intelligence (AI) is revolutionizing the fishing sector by increasing the sustainability of harvesting, monitoring, and resource management. This concise overview explores recent advancements in AI-driven methodologies, including machine learning, computer vision, and predictive analytics, that facilitate ecologically friendly fishing practices. AI-driven technologies provide real-time surveillance of fish populations, species identification, and bycatch reduction, hence mitigating environmental effects. Intelligent sensors and autonomous vessels equipped with artificial intelligence optimize fishing routes and improve energy efficiency, hence reducing carbon emissions. Moreover, AI facilitates data-informed policy decisions by precisely simulating fish population dynamics and the effects of climate change. The use of AI in conventional fisheries enhances compliance, traceability, and ecosystem conservation. However, challenges such as data deficiencies, elevated costs, and inadequate digital infrastructure remain. This study emphasizes the necessity of collaborative efforts to democratize AI access in coastal and small-scale fisheries, leading to more resilient and sustainable fisheries for future generations. Artificial intelligence transcends mere utility; it embodies the future of ethical fishing practices.