Affiliation:
1. CNR, Istituto di Biofisica, Via Moruzzi 1, Pisa, 56124, Italy
Abstract
This review reports state-of-the-art methods for automated microalgae classification aimed at monitoring water ecosystem conditions by means of digital microscopy, its current state and indications of future directions the field is expected to take.
Publisher
Royal Society of Chemistry (RSC)
Subject
Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Environmental Chemistry,General Medicine
Reference92 articles.
1. P.Andersen , H.Enevoldsen and D. M.Anderson , Harmful algal monitoring programme and action plan design , in Manual of Harmful Marine Microalgae , ed. G. M. Hallegraeff , D. M. Anderson and A. D. Cembella , Unesco publishing , Paris , 2004 , ch. 22, pp. 627–647
2. https://ec.europa.eu/environment/water/water-framework/index_en.html , 24/06/2021
3. Phytoplankton in a changing world: cell size and elemental stoichiometry
4. L.Barsanti and P.Gualtieri , Algae: Anatomy, Biochemistry, and Biotechnology , CRC Press , Boca Raton , 2014
5. Automatic analysis of aqueous specimens for phytoplankton structure recognition and population estimation
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