Using Machine Learning to Protect Our Oceans and Marine Life

The United Nations Sustainable Development Goals (SDGs) are an ambitious set of goals to protect our oceans and marine life. Goal 14 is focused on the conservation and sustainable use of oceans and their resources. With up to 5 trillion single-use plastic bags used worldwide every year and illegal, unreported and unregulated fishing contributing to overfishing, it is clear that we need to take action now to protect our oceans and marine life.

One way to do this is to use machine learning approaches to help us better understand and manage our oceans and marine resources. Machine learning can be used to identify patterns in data and predict future trends, which can help us better understand the impacts of our activities on the ocean and marine life. For example, machine learning can be used to identify illegal fishing activities, track marine debris, and monitor ocean acidification. It can also be used to identify areas of high biodiversity and help us develop more sustainable fishing practices.

By using machine learning to better understand and manage our oceans and marine resources, we can help reduce the impacts of our activities and ensure that our oceans remain healthy and productive for generations to come. We can also use machine learning to avoid repetition of activities and ensure that our efforts are focused on the most effective solutions.