Semantic segmentation based on Deep learning for the detection of Cyanobacterial Harmful Algal Blooms (CyanoHABs) using synthetic images

Author:

Barrientos-Espillco FredyORCID,Gascó EstherORCID,López-González Clara I.ORCID,Gómez-Silva María J.ORCID,Pajares GonzaloORCID

Publisher

Elsevier BV

Subject

Software

Reference67 articles.

1. Cyanobacterial harmful algal blooms and U.S.;Graham,2016

2. Cyanobacterial blooms;Huisman;Nat. Rev. Microbiol.,2018

3. Costs of harmful blooms of freshwater cyanobacteria;Hamilton,2014

4. Disturbance-induced phytoplankton regime shifts and recovery of cyanobacteria dominance in two subtropical reservoirs;Yang;Water Res.,2017

5. Genetic detection of freshwater harmful algal blooms: A review focused on the use of environmental DNA (eDNA) in microcystis aeruginosa and prymnesium parvum;Feist;Harmful Algae,2021

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