Harmful algal bloom forecasting. A comparison between stream and batch learning

arXiv:2402.13304v1 Announce Type: new
Abstract: Diarrhetic Shellfish Poisoning (DSP) is a global health threat arising from shellfish contaminated with toxins produced by dinoflagellates. The condition, with its widespread incidence, high morbidity rate, and persistent shellfish toxicity, poses risks to public health and the shellfish industry. High biomass of toxin-producing algae such as DSP are known as Harmful Algal Blooms (HABs). Monitoring and forecasting systems are crucial for mitigating HABs impact. Predicting harmful algal blooms involves a time-series-based problem with a …

abstract arxiv bloom comparison cs.ai cs.lg dsp forecasting global global health health industry public public health rate risks threat toxicity type