Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique.

Satoru TaharaKenji SudoTakehisa YamakitaMasahiro Nakaoka

Published in: PeerJ (2022)

Our results highlighted that a combination of UAV mapping and deep learning could help monitor the spatial extent of seagrass beds and classify their species composition at very fine scales.

Keyphrases

deep learning
high resolution
artificial intelligence
convolutional neural network
high density
machine learning
air pollution
genetic diversity
mass spectrometry