Early warning of cyanobacterial blooms based on polarized light scattering powered by machine learning

•Characterization of feature states of cyanobacterial cells on their vertical movements.•Polarization parameters indicate the stages of the cyanobacterial blooms.•Machine learning algorithms help extract information from polarization parameters.•A potential in-situ early warning strategy for the cyanobacterial blooms.