凯捷(Capgemini):人工智能如何检测海洋健康状况(英文版)(14页).pdf

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凯捷(Capgemini):人工智能如何检测海洋健康状况(英文版)(14页).pdf

1、Ocean Data and AI for species conservation1The problem and at the same time our motivation is the loss of species diversity in the ocean,which is often also referred to as”invisible dying”.With our approach,we pursue the goal of making this dying visible and thus preventable.To make events in the oc

2、ean visible,we need to identify patterns depending on the ocean depth and then recognize deviations from these patterns.With the Norwegian institute Lofoten-Vesteralen,we are analyzing ocean data,to help detect anomalies.This should enable a better understanding of the ocean ecosystem.This should he

3、lp to identify the consequences of human intervention in nature,such as dwindling fish stocks.Abstract.2OCEAN DATA AND AI FOR SPECIES CONSERVATION I OCTOBER 2022Accurate observation of ecosystems enable detailed oceanographic research,allowing anomalies to be identified in enormous amounts of data w

4、ith the help of artificial intelligence(AI).The Lofoten-Vesteralen(LoVe)Ocean Observatory is located west of Hovden Vesteralen in the northern part of Norway.It is located in an ecological,geological,oceanographic and economic”hotspot”.A network of submarine cables and seven sensor nodes covers a cr

5、oss-section from the mainland to the deep sea.It includes a land-based station and seven sensor platforms,covering a gradient from sea level to a depth of 200m.The system continuously provides valuable online data on the marine environment in northern Norway,and has been active since 2013.The system

6、 is both,a national research infrastructure,basic and applied research,as well as a test infrastructure,where industry partners can test new underwater sensors and technologies.The Lofoten-Vesteralen Ocean Observatory has collected over 100 terabytes of sensor data(temperatures,currents,echograms)ov

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