Artificial Intelligence in the Fishing Industry

Artificial Intelligence (AI) has significantly advanced in the fishing industry in recent times, playing a crucial role in various areas such as species identification and classification, real-time monitoring of fishing activity, optimization of routes and fishing strategies, prediction of fish populations, reduction of accidental captures, and improvement of sustainability.

• Computer vision and image processing: Used to identify and classify fish species in images and videos, facilitating catch verification and compliance with regulations.

• Machine learning: Employed to analyze large datasets and extract useful patterns in decision-making, such as predicting fish populations and identifying optimal fishing areas.

• Sensors and real-time monitoring: Integration with sensor systems to track fishing activity and crop health in aquaculture, including monitoring water conditions and detecting anomalous events.

• Fishing route optimization: Utilization of algorithms to plan more efficient routes, considering factors such as weather conditions and species migration patterns.

• Drones and autonomous vehicles: Application in the operation of drones and underwater vehicles to collect data and monitor fishing activity, being more efficient than traditional methods.

• Selective fishing: Use in technologies aimed at reducing the accidental capture of unwanted species.

• Modeling and simulation: Use of models to predict fish population behavior and marine ecosystem dynamics, facilitating data-driven decision-making.

• Traceability and supply chain: Utilization for tracking and auditing the supply chain of fishery products, ensuring their traceability and legality from capture to the end consumer.

The advantages of employing AI in fishing are diverse, including operation and efficiency optimization, promotion of sustainable practices, reduction of unwanted catches, improvement of product quality and traceability, ability to predict marine conditions, reduction of operational costs, and stimulation of innovation in aquaculture.