Harmful algal bloom smart device application: using image analysis and machine learning …

You are here: EPA Home » Science Inventory » Harmful algal bloom smart device application: using image analysis and machine learning techniques for early classification of harmful algal blooms Harmful algal bloom smart device application: using image analysis and machine learning techniques for early classification of harmful algal blooms Citation: Lazorchak, J., M. Waters, Joel Allen, AND M. Steinitz-Kannan. Harmful algal bloom smart device application: using image analysis and machine learning techniques for early classification of harmful algal blooms. SETAC Europe 2016, Nantes, FRANCE, May 22 – 26, 2016. Description: The Ecological Stewardship Institute at Northern Kentucky University and the U.S. Environmental Protection Agency are collaborating to optimize a harmful algal bloom detection algorithm that estimates the presence and count of cyanobacteria in freshwater systems by image analysis. Green and…


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