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Fourier transform near infrared spectroscopy of otoliths coupled with deep learning improves age prediction for long-lived northern rockfish
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2024
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Source: Fisheries Research, 278, 107116
[PDF-59.93 MB]
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Journal Title:ScienceDirect
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Corporate Authors:NOAA National Marine Fisheries Service ; NOAA National Marine Fisheries Service Alaska Fisheries Science Center ; Resource Ecology and Fisheries Management Division ; NOAA National Marine Fisheries Service Southeast Fisheries Science Center ; Fisheries Assessment, Technology, and Engineering Support Division ; ... More +
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Description:The northern rockfish (Sebastes polyspinis) is an economically valuable, long-lived species distributed over the continental shelf of the North Pacific Ocean. Ages for this species which can be in excess of 80 years comprise an essential component of models for assessing population status and are crucial for fisheries management. Traditional microscope-based methods of estimating age using otoliths can be time-intensive and prone to reader variability. We explored the application of Fourier transform near infrared (FT-NIR) spectroscopy coupled with multimodal convolutional neural networks (MMCNN) for age prediction. Our study included 2613 FT-NIR scans and associated ages of northern rockfish otoliths from years 2013–2019, with ages ranging from 3 to 66 years. The optimal MMCNN model demonstrated strong performance, yielding an R2 of 0.92 and an RMSE of 3.38 for the training set and an R2 of 0.89 and an RMSE of 3.74 for the test set. Spectral information in the 11,500 to 4000 cm⁻¹ wavenumber range, otolith weight, and other biological/geospatial data contributed to age predictions that were comparable to traditional age estimates. Despite challenges, FT-NIR spectroscopy coupled with MMCNN emerged as a promising alternative for age estimation in long-lived species. This approach, while demonstrating effectiveness for northern rockfish, could be a valuable tool for diverse fish species, supporting sustainable fisheries practices and population monitoring.
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Content Notes:This project was funded by the National Marine Fisheries Service FT-NIR Spectroscopy Age Estimation Strategic Initiative.
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Source:Fisheries Research, 278, 107116
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Rights Information:Accepted Manuscript
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Rights Statement:The findings and conclusions in the paper are those of the authors and do not necessarily represent the views of the National Marine Fisheries Service, NOAA. The use of trade, firm, or corporation names in this publication is for the convenience of the reader and does not imply endorsement by the National Marine Fisheries Service, NOAA.
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