Page 189 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

protection and disaster prevention, particularly in mitigating the impacts of harmful algal
blooms, red tides, and other marine biological disasters that threaten marine biodiversity
and human activities. GeoGPT currently achieves an accuracy rate of 81.3% in deep-sea
species identification and 93.2% in distinguishing biological from non-biological entities. The Change 4.2-Climate
recognition efficiency is 40 milliseconds per image, a significant improvement over the manual
recognition time of 40 seconds per image.

While GeoGPT has shown promising results, it currently faces challenges related to data noise.
Ongoing optimizations to model structures and the collection of high-quality data will enable
further enhancements in its performance, bolstering its capacity to support marine ecosystem
protection and disaster early warning.
This solution evaluates the influence of global warming on marine microalgae distribution and
forecasts its impact on aquatic ecosystems. Provide technical support for developing climate-
adaptive management strategies, reducing environmental and economic risks associated
with climate change. It also reduces unnecessary harm to marine ecosystems by conducting
risk assessments in deep-sea mineral resource exploration. Strengthen red tide monitoring
and early warning through accurate identification of harmful algae, thereby safeguarding
aquatic ecosystem health. Furthermore, it enhances global ecosystem protection and promote
sustainable development by fostering technological collaboration and enabling data sharing,
improving collective efficiency in ecological preservation efforts. Last, it builds an advanced
AI system to deliver innovative solutions for ecological protection and sustainable resource
management.

Use Case Status: The use case is part of a larger research project and part of a larger product
development.

Partners: Deep-time Digital Earth (DDE) Big Science Programme; The International Union
for Conservation of Nature; Second Institute of Oceanography, Ministry of Natural Resources
(MNR); National Deep Sea Center; National Marine Data Center, Department of Nature
Resources.

2�2 Benefits of the use case

• Evaluate the influence of global warming on marine microalgae distribution and forecast
its impact on aquatic ecosystems. Provide technical support for developing climate-
adaptive management strategies, reducing environmental and economic risks associated
with climate change.
• Reduce unnecessary harm to marine ecosystems by conducting risk assessments in deep-
sea mineral resource exploration. Strengthen red tide monitoring and early warning
through accurate identification of harmful algae, thereby safeguarding aquatic ecosystem
health.
• Enhance global ecosystem protection and promote sustainable development by fostering
technological collaboration and enabling data sharing, improving collective efficiency in
ecological preservation efforts.
• Build an advanced AI system to deliver innovative solutions for ecological protection and
sustainable resource management

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