Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana

Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana

Biological invasions are accelerating worldwide, causing major ecological and economic impacts in aquatic ecosystems. The urgent decision-making needs of invasive species managers can be better met by the integration of biodiversity big data with large-domain models and data-driven products. Remotel...

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Bibliographic Details
Main Authors: S. Carter, C. B. van Rees, B. K. Hand, C. C. Muhlfeld, G. Luikart, J. S. Kimball
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Big Data
Subjects:
invasive species
machine learning
species distribution modeling
remote sensing
big data analytics
early detection and rapid response
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2021.734990/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2021.734990/full

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