Artificial Intelligence: AI To Predict Growth Of Harmful Algal Blooms in Oceans

Researchers in UK universities and government bodies propose to develop machine learning models to predict harmful algal bloom (HAB).

Harmful algal blooms (HAB) occur when colonies of algae — simple plants that live in the sea and freshwater — grow out of control and produce toxic or harmful effects on people, fish, shellfish, marine mammals, and birds. Humans are rarely affected, but illnesses triggered by HAB could be fatal. A project in the UK seeks to develop technology to predict the advent of deadly HAB. (Mirage)

Climate change and coastal developments are causing a surge in HABs globally with severe economic consequences.

UK project to combat HAB with AI

A new £200,000 AI project will attempt to develop tools to predict the growth of HAB in oceans.

It is being led by Cornwall Port Health Authority and supported by the University of Exeter, the University of Glasgow, the National Oceanography Centre (NOC), and the Centre for Environment Fisheries and Aquaculture Science (CEFAS).

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

Data-driven models based on machine learning and statistics would be used along with other methods to predict HABs.

Climate change, sustainability, and HABs

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

Business Minister Lord Callanan said: “Predicting HABs using artificial intelligence could pave the way for exciting developments in the sector, bringing benefits to British businesses and consumers alike.”

Related Story: A New $620M Innovation Fund Wants Britain To Become The “Silicon Valley Of Energy”

Image Credit of Harmful Algal Bloom in Western Basin of Lake Erie, July 2, 2018, (Photo Credit – Aerial Associates Photography, Inc. by Zachary Haslick): Flickr

Free Industry News

Subscribe to our free newsletter for updates and news about alternatives investments.

  • This field is for validation purposes and should be left unchanged.


Latest Alternative Investment News
Digital Assets: Russian Energy Firms Seek Go-Ahead To Use Flared Gas For Mining Crypto
October 22, 2021     Digital Assets, ESG and Sustainability, News

Russia’s crypto mining industry is in expansion mode after China’s clampdown on its crypto miners. Also wanting to join the party are Russian oil and gas companies that flare, or…
Artificial Intelligence: Rossum, The Document AI Company, Raises $100M
October 22, 2021     Artificial Intelligence, News, Venture Capital

Rossum offers an end-to-end AI document processing solution that combines its cognitive data capture platform with a full suite of integration capabilities to automate document-based communications between diverse businesses. The…
Alternative Investments/ESG: New York Life Floats ETFs For Gender Equality, Clean Oceans, Cleaner Transport

The three thematic ETFs meet investor demand for ESG approaches. IndexIQ, the New York Life Investments company, announced Wednesday the launch of three new ETFs. The IQ Engender Equality ETF…
FinTech: Wells Fargo Invests $10M In Cloud Payments Provider Volante
October 21, 2021     FinTech, News, Venture Capital

Volante Capital, a provider of cloud payment services and financial messaging, announced Wednesday an investment of $10 million by Wells Fargo Strategic Capital. Wells Fargo joins Wavecrest Growth Partners, BNY…