AIMC Topic: Phytoplankton
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Automatic identification of harmful algae based on multiple convolutional neural networks and transfer learning.
Environmental science and pollution research international
Sep 28, 2022
The monitoring of harmful phytoplankton is very important for the maintenance of the aquatic ecological environment. Traditional algae monitoring methods require professionals with substantial experience in algae species, which are time-consuming, ex...
Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level.
Water research
Apr 23, 2022
Harmful algal blooms (HABs) have become a global issue, affecting public health and water industries in numerous countries. Because funds for monitoring HABs are limited, model development may be an alternative approach for understanding and managing...
A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms.
Scientific reports
Oct 7, 2021
Increasing occurrence of harmful algal blooms across the land-water interface poses significant risks to coastal ecosystem structure and human health. Defining significant drivers and their interactive impacts on blooms allows for more effective anal...
Modelling of ecological status of Polish lakes using deep learning techniques.
Environmental science and pollution research international
Sep 22, 2020
Since 2000, after the Water Framework Directive came into force, aquatic ecosystems' bioassessment has acquired immense practical importance for water management. Currently, due to extensive scientific research and monitoring, we have gathered compre...
Photoautotrophic picoplankton - a review on their occurrence, role and diversity in Lake Balaton.
Biologia futura
Jul 31, 2020
Occurrence of the smallest phototrophic microorganisms (photoautotrophic picoplankton, APP) in Lake Balaton was discovered in the early 1980s. This triggered a series of systematic studies on APP and resulted in the setting of a unique long-term pico...
Shallow convective mixing promotes massive Noctiluca scintillans bloom in the northeastern Arabian Sea.
Marine pollution bulletin
Dec 5, 2018
The northeastern Arabian Sea (NEAS) experiences convective mixing during winter, but this mixing does not reach up to the silicicline, resulting in the limited supply of silicate (Si) compared to nitrate (N) and phosphate (P) to the mixed layer (ML) ...
Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton.
BMC ecology
Dec 3, 2018
BACKGROUND: Phytoplankton species identification and counting is a crucial step of water quality assessment. Especially drinking water reservoirs, bathing and ballast water need to be regularly monitored for harmful species. In times of multiple envi...
Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering.
PloS one
May 10, 2018
Scanning flow cytometry (SFCM) is characterized by the measurement of time-resolved pulses of fluorescence and scattering, enabling the high-throughput quantification of phytoplankton morphology and pigmentation. Quantifying variation at the single c...
Comparison of models for predicting the changes in phytoplankton community composition in the receiving water system of an inter-basin water transfer project.
Environmental pollution (Barking, Essex : 1987)
Feb 10, 2017
Inter-basin water transfer projects might cause complex hydro-chemical and biological variation in the receiving aquatic ecosystems. Whether machine learning models can be used to predict changes in phytoplankton community composition caused by water...
Production of the Neurotoxin BMAA by Marine Diatoms Drives Its Widespread Occurrence in Estuarine and Coastal Ecosystems.
Environmental science & technology
Jul 1, 2025
Phytoplankton are the primary producers of marine neurotoxins such as β--methylamino-l-alanine (BMAA), which cause seafood poisoning outbreaks in estuarine and coastal regions. BMAA has gained much attention for its pathogenic link to Alzheimer's and...
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