AI approaches for predicting Harmful Algal Blooms

This project aims to use Artificial Intelligence tools to predict harmful blooms of algae by developing and trialing a range of innovative technologies for monitoring and modelling the development of harmful algal blooms (HABs) in the ocean.

Harmful algal blooms (HABs) produce biotoxins, which can accumulate in shellfish and poison human consumers. Blooms resulting in excessive growth of algae can also severely lower oxygen levels in water, potentially killing fish and other marine life. HABs are a global problem with huge economic consequences that are increasing in frequency and impact, apparently in conjunction with climate change and increasing coastal development.

The project, led by Cornwall Port Health Authority and supported by the University of Exeter, University of Glasgow, the National Oceanography Centre (NOC) and the Centre for Environment Fisheries and Aquaculture Science (Cefas), is funded through the Regulators' Pioneer Fund launched by The Department for Business, Energy and Industrial Strategy (BEIS). The government fund is designed to enable UK regulators and local authorities to help create a UK regulatory environment that aids innovation and helps to make the UK a better place to start and grow a business.

Innovations that will be developed include molecular detection methods for quantifying HAB cell abundance in seawater and lateral flow devices for quantifying HAB toxins in shellfish, as well as data-driven models for predicting HABs incorporating machine learning and statistics. These are expected to assist regulatory authorities, such as Cornwall Port Health Authority, to target and schedule shellfish monitoring campaigns and harvesting closures more effectively, to better manage risks of HABs to human health and shellfish businesses. Predictions will allow aquaculture businesses to plan the siting and timing of operations, to minimise the impact of HABs, and in turn improve the viability of shellfish aquaculture in the South West.

Business Minister Lord Callanan said: “Good regulation should spur entrepreneurship, not stand in its way, and this project will help keep the UK at the cutting edge of innovation. "Predicting HABs using artificial intelligence could pave the way for exciting developments in the sector, bringing benefits to British businesses and consumers alike.”

Dr Ross Brown, from the University of Exeter (Sustainable Aquaculture Futures), said: “This work is particularly pertinent to hotspots in south-west Cornwall, where the frequency and duration of seasonal blooms of warm water HABs species could increase substantially with climate change.”

Dr Andy Turner, from CEFAS, said: “This project will help develop a predictive approach for assessing natural toxin occurrence, which can ultimately benefit business in the region, aiding the safe supply of shellfish and reduced risks to the health of human consumers of shellfish.”

Dr Oliver Stoner, from the University of Glasgow, said: “This work will exemplify the positive impact scientific innovation and statistical modelling can have on the sustainability agenda.”

 

For more information download the final project report here.