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A pilot study to estimate the population size of endangered Galápagos marine iguanas using drones.

Andrea Varela-JaramilloGonzalo Rivas TorresJuan M GuayasamínSebastian SteinfartzAmy MacLeod
Published in: Frontiers in zoology (2023)
Though CMR likely produces superior estimates, it cannot be performed in most cases due to lack of access and knowledge regarding colonies. Drone-based surveys outperformed ground-based simple counts in terms of outcome and this approach is therefore suitable for use across the range of the species. Moreover, the aerial approach is currently the only credible solution for accessing and surveying marine iguanas at highly remote colonies. The application of citizen science and other aids such as machine learning will alleviate the issue regarding time needed to analyze the images.
Keyphrases
  • machine learning
  • deep learning
  • healthcare
  • public health
  • convolutional neural network
  • artificial intelligence
  • cross sectional
  • optical coherence tomography
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  • peripheral blood
  • big data