AI-powered sensors in Malta identify and classify microplastics with global scientific value.
Tiny plastic particles less than 5mm in size that result from the breakdown of larger plastic debris in marine environments.
Microplastics contaminate marine food chains, affecting marine life health and potentially human health through seafood consumption.
Traditional detection methods are time-consuming and expensive, making large-scale monitoring difficult for researchers and conservationists.
Advanced AI and machine learning technologies can automate detection, enabling faster and more accurate monitoring of microplastic pollution.
Microplastics pollution in marine environments has reached critical levels, with particles smaller than 5mm contaminating ocean ecosystems worldwide. Traditional detection methods are time-consuming, expensive, and often inaccurate.
Microplastics affect marine life through ingestion and bioaccumulation, disrupting food chains and potentially entering human food systems. Current estimates suggest over 5 trillion plastic pieces are floating in our oceans.
Our AI-powered sensor network provides real-time, automated detection and classification of microplastics, enabling continuous monitoring and data collection for scientific research and policy development.
Coordinates: 35.8989°, 14.5146°
Primary deployment site featuring deep-water access and diverse marine ecosystems typical of Mediterranean conditions.
Coordinates: 35.8958°, 14.5097°
Urban marine environment testing site to monitor microplastic levels in high-traffic maritime areas.
Initial project scope and objectives for the initiative, outlining the foundational goals and strategic approach.
Installation and calibration of AI-powered detection sensors across Malta's coastal waters.
Continuous monitoring and data collection from deployed sensor network.
Scaling the sensor network to additional Mediterranean locations and beyond.
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