Automatic interpretation of otoliths using deep learning
E. Moen, N. O. Handegard, V. S. D. Allken, O. T. Albert, A. Harbitz, K. malde
This paper uses deep learning to estimate fish otolith age from images, achieving precision comparable to human experts and offering a scalable alternative to manual analysis.
bioRxiv · Sep 14, 2018Ecology