Could machine learning save this sea cow? (2016) (blog.google)

Scientists are turning to machine learning to aid in the conservation of sea cows, a marine mammal threatened with extinction due to human activities. Traditionally, researchers faced the daunting task of manually counting populations from aerial views, which was not only time-consuming but also challenging to scale. Dr. Amanda Hodgson from Murdoch University and Dr. Frederic Maire from Queensland University of Technology have leveraged drone technology coupled with a machine learning approach using TensorFlow, to create an automated detection system for identifying sea cows in aerial photographs. Their initial results show promise, with the machine learning model successfully locating 80% of sea cows previously identified manually. This innovative method not only streamlines the counting process but has significant implications for conservation efforts, as it can be adapted for monitoring other marine species like humpback whales and dolphins. By efficiently tracking these populations, conservationists can better understand the impact of human activities and prioritize habitat protection, illustrating how machine learning can play a critical role in wildlife conservation initiatives.