
Mortimer Werther, of Biological and Environmental Sciences, led the study
Artificial intelligence that enhances remote monitoring of water bodies – highlighting quality shifts due to climate change or pollution – has been developed by researchers at the University of Stirling.
A new algorithm – known as the ‘meta-learning’ method – analyses data directly from satellite sensors, making it easier for coastal zone, environmental and industry managers to monitor issues such as harmful algal blooms (HABs) and possible toxicity in shellfish and finfish.
Environmental protection agencies and industry bodies currently monitor the ‘trophic state’ of water – its biological productivity – as an indicator of ecosystem health. Large clusters of microscopic algae, or phytoplankton, is called eutrophication and can turn into HABs, an indicator of pollution and which pose risk to human and animal health.
HABs are estimated to cost the Scottish shellfish industry £1.4 million per year, and a single HAB event in Norway killed eight million salmon in 2019, with a direct value of over £74 million.
Challenge
Lead author Mortimer Werther, a PhD Researcher in Biological and Environmental Sciences in Stirling’s Faculty of Natural Sciences, said: “Currently, satellite-mounted sensors, such as the Ocean and Land Instrument (OLCI), measure phytoplankton concentrations using an optical pigment called chlorophyll-a. However, retrieving chlorophyll-a across the diverse nature of global waters is methodologically challenging.
“We have developed a method that bypasses the chlorophyll-a retrieval and enables us to estimate water health status directly from the signal measured at the remote sensor.”
Original Article: Stirling experts develop artificial intelligence to monitor water quality more effectively
More from: University of Stirling | Plymouth Marine Laboratory | German Aerospace Center | Swiss Federal Institute of Aquatic Science and Technology
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Meta-learning method
- How Does Writing Fit Into the ‘Science of Reading’?
Writing in the early grades is often segmented off from reading. Research suggests teaching them together is both efficient and effective.
- Half of users’ time on Meta platforms is now spent on video
Meta claims that young people are sticking with its platforms and not deserting them, as is the common presumption. Its group director, Sophie Neary, says that the consumption habits of different age ...
- Novel Neurofeedback Technique Enhances Awareness of Mind-Wandering
Researchers have developed a novel neurofeedback technique based on Pavlovian conditioning that detects when a person's mind is wandering.
- Meta introduces AI algorithm to reduce ads based discrimination
Meta launched new VRS, an AI algorithm to reduce bias in the ads, considering analysis of demographics and customer needs.
- DeepMind Explores the Connection Between Gradient-Based Meta-Learning and Convex Optimization
Second nature for humans, meta-learning is a powerful yet challenging technique for AI systems that enables a model to meta-learn the parameters of a parameterized algorithm by self-evaluating its ...
Go deeper with Google Headlines on:
Meta-learning method
[google_news title=”” keyword=”meta-learning method” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]
Go deeper with Bing News on:
Remote water monitoring
- Parents frustrated as water crisis forces all Jackson Public Schools into remote learning
The latest iteration of the Jackson water crisis has forced Jackson Public Schools back into remote learning once again ... JPS announced it will continue to monitor updates from the city to determine ...
- Remote Telemetry Units Market Size 2023 with Identification of major companies working in the market with related growths
RTUâ s remote monitoring functions can be used for Oil and gas (offshore platforms, onshore oil wells, pump stations on pipepnes), Networks of pump stations (waste water collection, or for water ...
- Solar-powered water desalination tech for off-grid applications
Berlin-based Boreal Light has developed water desalination tech powered by PV for off-grid applications. The solution uses 460 W solar panels from Chinese module manufacturer DAH Solar and produces ...
- Fire Water Monitor Market 2023 with Latest Research Report by Trend Analysis and Sales Evaluation till 2029
New Fire Water Monitor Market Report [116 Pages] analyse core competency of key companies with scientific and futuristic perspective for the following parameters: CAGR status, size, cost, demand and ...
- JD Co., Ltd. develops the unmanned water drone 'Marine Eye' that aims to become a front-runner in the unmanned marine survey
To lead the advancement of the 4th industrial revolution and shipbuilding industry, JD Co., Ltd. deals with various business fields, namely the development of water drones, SW development for the ...
Go deeper with Google Headlines on:
Remote water monitoring
[google_news title=”” keyword=”remote water monitoring” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]