Comment on “Early warning of harmful cyanobacteria blooms based on high frequency in situ monitoring and intelligible machine learning modelling: The case study of Lake Müggelsee (Germany)” by Recknagel et al. (Water Research 287 2025 124,514)

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Authors: Feilong Shen, Zhongbing Chen
Cited by: 1
References: 7

Fields of Study & Subjects

Aquatic Ecosystems and Phytoplankton Dynamics Marine and coastal ecosystems Hydrological Forecasting Using AI

Publication details

Journal / source
Water Research
Publisher
Elsevier BV
Volume
293
Pages
125406–125406
Publication date
15 January 2026
Language
EN