Over the past entries we've discussed the importance of AI, and how we can apply it to provide solutions to different industries.
Today we are going to see how AI tools are used in the Blue Economy, an emerging concept that is becoming a trend in recent years.
What is the Blue Economy?
The United Nations in 2012 introduced the term "Blue Economy" to refer to all economic activities linked to the sea. This includes such diverse activities as fishing, maritime transport, and even coastline tourism.
In addition, the Blue Economy promotes the sustainable use of ocean resources. It aims to preserve the health of marine ecosystems and prevent pollution of the seas. This makes the Blue Economy a fundamental way to achieve the Sustainable Development Goals set by the United Nations. Objetivos de Desarrollo Sostenible establecidos por las Naciones Unidas.
What challenges does the Blue Economy face?
As we have seen, the Blue Economy has two distinct meanings. On the one hand, the contribution of the oceans to the economy. And on the other, the need to ensure environmental and ecological sustainability. However, these two connotations may be in conflict: economic development does not always match the responsible use of resources.
An example of this can be found in the merchant routes. Due to these preset routes, ships sometimes pass through adverse weather conditions. As a result, fuel consumption increases and the crew and cargo of the ship are exposed to risks.
Another example, related to sustainable fishing, is to ensure the prosperity of fish stocks. It is necessary to monitor fish populations and avoid overfishing.
Also, in the world's most important ports, congestion is a common issue due to a sub-optimal optimization of port resources. Large cargo vessels can be stuck at the entrance to the port for many hours before they are able to dock. During this time, ships consume large amounts of fuel, which is emitted into the atmosphere and oceans as polluting agents.
Can AI help with these problems?
Implementing AI-based tools can help with the challenges experienced by the Blue Economy. For the previous examples, we find:
- Weather routing tools, which use a meteorological forecast to provide a better route by sea, using favorable weather conditions to save time and fuel. It is done by AI supported modeling, and through applying optimization algorithms.
- "Smart fishing" uses AI models to monitor fish stocks, predicting their growth and even their migratory patterns.
At Komorebi AI we collaborate on several projects that contribute to the Blue Economy. Our Smart Shipping tool optimizes shipping routes and generates fuel savings between 2%-8%. We also collaborate with Satlink in the development of "smart fishing" solutions.
If you have ideas for #technology applications that can contribute to your blue economy projects, or any doubts about the impact that artificial intelligence can have; do not hesitate to contact us at consulta@komorebi.ai, we will be happy to hear from you.
