- Rutgers researchers developed an AI tool to predict whale habitats, helping reduce risks from shipping and offshore wind farms.
- The model analyzes decades of environmental and whale monitoring data to create probability maps for marine planning.
- The tool aids industries like fishing and shipping in making eco-friendly decisions while protecting endangered whales.
Researchers at Rutgers University-New Brunswick have developed an artificial intelligence (AI) tool designed to predict the habitats of endangered whales, particularly the North Atlantic right whale.
This innovation aims to guide maritime activities, such as shipping and offshore wind farm development, to minimize harmful interactions with these marine mammals.
AI to protect endangered whales
The AI-powered program analyzes patterns from extensive databases, combining whale monitoring data with environmental factors. This approach enhances current methods of tracking marine species by providing a “probability map” that indicates where whales are likely to be found at specific times. Such predictive capabilities are crucial for implementing effective conservation strategies and ensuring responsible ocean development.
The research team, led by Assistant Professor Ahmed Aziz Ezzat from the Department of Industrial and Systems Engineering and Professor Josh Kohut from the Department of Marine and Coastal Sciences, emphasizes the broader implications of their work. While initially focused on supporting offshore wind farm operations, the AI tool’s applications extend to various sectors of the blue economy, including fishing and shipping. By predicting whale presence, stakeholders can make informed decisions that balance economic objectives with environmental stewardship.
The AI model was trained using data collected since 1992 by the Rutgers University Center for Ocean Observing Leadership, encompassing underwater glider and satellite-based observations. By correlating whale locations with environmental conditions, the program offers a nuanced understanding of whale movements, facilitating proactive measures to protect these endangered species.
This development underscores the potential of AI in advancing ocean conservation efforts, providing tools that not only enhance our understanding of marine ecosystems but also promote sustainable interactions between human activities and wildlife.
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Source: Rutgers
