Automated identification of toxigenic cyanobacterial genera for water quality control purposes
Cyanobacteria are the dominating microorganisms in aquatic environments, posing
significant risks to public health due to toxin production in drinking water reservoirs …
significant risks to public health due to toxin production in drinking water reservoirs …
Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning
Monitoring plankton distribution, particularly harmful phytoplankton, is vital for preserving
aquatic ecosystems, regulating the global climate, and ensuring environmental protection …
aquatic ecosystems, regulating the global climate, and ensuring environmental protection …
Microscopic image quality in few-shot GAN-generated cyanobacteria images and its impact on classification networks
Obtaining high-quality images for training AI models in the field of plankton identification,
particularly cyanobacteria, is a challenging and time-critical task that necessitates the …
particularly cyanobacteria, is a challenging and time-critical task that necessitates the …
A study on detection and classification methods for red tide phytoplankton using deep learning
T Kawano, M Migita, K Kamimura… - International …, 2025 - spiedigitallibrary.org
Red tides are phenomena caused by the abnormal proliferation of marine plankton, leading
to massive fish deaths and significant damage to the fishing industry. Currently, detection …
to massive fish deaths and significant damage to the fishing industry. Currently, detection …