AI-powered harmful algal bloom detection, forecasting, and early-warning alerts for aquaculture and coastal operators.
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HABTRAIL is an AI-powered web platform developed by Eyecon Group (Azores, Portugal) that integrates Copernicus Sentinel-2 and Sentinel-3 satellite imagery with in-situ environmental data to detect, monitor, and forecast harmful algal blooms (HABs). Using deep learning techniques — including clustering, pixel segmentation, and deep neural networks — it delivers species-specific interdiction forecasts, chlorophyll-A maps, sea surface temperature layers, and pixel-based HAB probability maps with over 90% accuracy up to three days ahead. Users access interactive web dashboards with historical trend analysis and configurable email/SMS alerts. A companion mobile application enables near-real-time HAB identification from uploaded water photographs. Primary users include aquaculture producers, national regulatory bodies, public health offices, seafood distributors, tourism businesses, and coastal authorities.
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Obrada
Insight Generation
Converts analysis into context-rich, actionable insights.
Isporučeno kao
Alerting & Decision Support
Geografski opseg
Eyecon Group
Develops remote-sensing applications that combine satellite imagery, IoT data and machine-learning to deliver predictive models and early-warning tools for landslides, floods and marine hazards.
2017
Osnovano
Portugal
Država
Automates notifications and tools to highlight key insights.
