Hybrid Machine Learning techniques in the management of harmful algal blooms impact

arXiv:2402.09271v1 Announce Type: new
Abstract: Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate high concentrations of marine biotoxins in their tissues. To avoid the risk to human consumption, harvesting is prohibited when toxicity is detected. At present, the closure of production areas is based on expert knowledge and the existence of a predictive model would help …

abstract arxiv consumption cs.lg episodes farming filter human hybrid impact machine machine learning machine learning techniques management marine q-bio.qm type