AI & Sustainability

Artificial Intelligence promises to revolutionize environmental monitoring and governance through its application in wildlife conservation and many other sustainability goals. However, despite these encouraging circumstances, there are no perfect solutions. In this collection, read a selection of excerpts discussing the nuances of applying AI to solve environmental problems.

5 Featured Projects

Fishoid

Fishoid, formally known as Fishazam, is a new way to catch fraudulent fish and waste. Taking direction from sustainable fishing non-profit Oceana, Fishoid asserts that 30% of fish are mislabeled, with another 30% of fish wasted before they reach a market or consumer. Moreover,¬† a whopping 90% of fish stocks worldwide are exploited or near […]

Artificial Intelligence, Biodiversity, Ecological Monitoring, Illegal Resource Extraction, Industry/Natural Commodities, Regulation, Visual Technologies

reduce by Poseidon

Have you ever wondered what the carbon footprint of the new pair of shoes you just bought is? You might have, but in all likelihood, no-one actually knows the true answer to this, as most products travel across many borders and between many hands before it hits the shelf. With the goal of tracking and […]

Artificial Intelligence, Blockchain, Climate Change, Industry/Natural Commodities, Regulation

SilviaTerra

Operated and managed by Microsoft Azure, AI for Earth¬†cloud-hosted software applies machine learning to remote sensing data to support forest inventory management, with the goals of reducing manual fieldwork and improving data quality and precision. Machine learning classification models are applied to high-resolution satellite imagery combined with pre-existing field data to create forest maps with […]

Artificial Intelligence, Climate Change, Data, Ecological Monitoring, Industry/Natural Commodities, Internet of Things

Algorithm for Air Pollution Hot Spots

In 2020, a team of researchers from Duke University, North Carolina (United States) published a novel method to measure localized air pollution levels using micro-satellite imagery and machine learning. In this study, the team focused on measuring PM 2.5: particulate matter produced through combustion that is finer than 2.5 micrometres and contributes to serious health […]

Artificial Intelligence, Climate Change, Data, Lifestyle, Monitoring, Pollution

Mapping Marine Debris

Proposed in 2018 by a group of Hawaiian researchers, Mapping Marine Debris is a project that seeks to automate the image analyses of coastal pollution. After identifying a clear need for a better understanding of the amount, composition, and location of coastal pollution, a hybrid model was devised, leveraging the powers of citizen science and […]

Artificial Intelligence, Citizen Science, Data, Ecological Monitoring, Monitoring, Pollution, Regulation, Visual Technologies