Artificial intelligence has for the first time predicted the reproductive behaviour of Yellowtail Kingfish by tracking their movements as part of new research revealed on #WorldOceanDay. The new study published in Movement Ecology used machine learning algorithms to identify and distinguish between behaviours including courtship, feeding, escape, chafing, and swimming to showcase how technology can offer greater understanding of marine life. The results revealed spawning behaviour of Yellowtail Kingfish within the Neptune Islands Group Marine Park and Thorny Passage Marine Park in South Australia. Researchers tagged captive Kingfish and filmed their behaviour in tanks to identify the acceleration signatures and applied artificial intelligence to identify behaviour in free-ranging fish. Flinders University PhD student, Thomas Clarke, in the College of Science & Engineering, says it's the first study to use machine learning to identify spawning behaviours in wild Kingfish and demonstrates how artificial intelligence can be used to better understand reproductive patterns.

The new study, published in Movement Ecology, used machine learning algorithms to identify and distinguish between behaviors including courtship, feeding, escape, chafing, and swimming to showcase how technology can offer greater understanding of marine life. The results revealed spawning behavior of yellowtail kingfish within the Neptune Islands Group Marine Park and Thorny Passage Marine Park in South Australia. Researchers tagged captive kingfish and filmed their behavior in tanks to identify the acceleration signatures and applied artificial intelligence to identify behavior in free-ranging fish. Flinders University Ph.D. student, Thomas Clarke, in the College of Science & Engineering, says it's the first study to use machine learning to identify spawning behaviors in wild kingfish and demonstrates how artificial intelligence can be used to better understand reproductive patterns. "Through direct observations of courtship and spawning behaviors, our findings provide the first study to predict natural reproduction of yellowtail kingfish, via the use of accelerometers and machine learning. The new study, published in Movement Ecology, used machine learning algorithms to identify and distinguish between behaviors including courtship, feeding, escape, chafing, and swimming to showcase how technology can offer greater understanding of marine life. The results revealed spawning behavior of yellowtail kingfish within the Neptune Islands Group Marine Park and Thorny Passage Marine Park in South Australia. Researchers tagged captive kingfish and filmed their behavior in tanks to identify the acceleration signatures and applied artificial intelligence to identify behavior in free-ranging fish. Flinders University Ph.D. student, Thomas Clarke, in the College of Science & Engineering, says it's the first study to use machine learning to identify spawning behaviors in wild kingfish and demonstrates how artificial intelligence can be used to better understand reproductive patterns. "Through direct observations of courtship and spawning behaviors, our findings provide the first study to predict natural reproduction of yellowtail kingfish, via the use of accelerometers and machine learning.

Artificial intelligence has for the first time predicted the reproductive behavior of yellowtail kingfish by tracking their movements as part of new research revealed on #WorldOceanDay. The new study, published in Movement Ecology, used machine learning algorithms to identify and distinguish between behaviors including courtship, feeding, escape, chafing, and swimming to showcase how technology can offer greater understanding of marine life. The results revealed spawning behavior of yellowtail kingfish within the Neptune Islands Group Marine Park and Thorny Passage Marine Park in South Australia. Researchers tagged captive kingfish and filmed their behavior in tanks to identify the acceleration signatures and applied artificial intelligence to identify behavior in free-ranging fish. Flinders University Ph.D. student, Thomas Clarke, in the College of Science & Engineering, says it's the first study to use machine learning to identify spawning behaviors in wild kingfish and demonstrates how artificial intelligence can be used to better understand reproductive patterns.