Gespeichert in:
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| Format: | Recurso digital |
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| Veröffentlicht: |
Zenodo
2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.14698633 |
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Inhaltsangabe:
- <p>The fishing business has been greatly impacted by artificial intelligence (AI), which has increased production, sustainability, and efficiency. AI enables ships to collect and analyse enormous volumes of data on things like water temperature, salinity, fish behaviour, and ocean currents by combining sensors, cameras, and machine learning algorithms. Increased catch rates and lower operating expenses result from fishermen using this data-driven method to make well-informed decisions about the best times and places to fish. Additionally, AI has proven crucial in the development of smart fishing gear, lowering bycatch, and lessening the negative environmental effects of fishing. AI-based methods also help with stock availability, population dynamics, fish migration patterns, and resource management optimisation. This makes it possible for fishermen to modify their tactics, set sustainable quotas, and refrain from overfishing, all of which help to preserve fish stocks over the long run and guarantee the sustainability of the fishing sector for coming generations. AI technology has the potential to completely transform the fishing sector as it develops further.</p> <p> </p>