
ALGAE-ALPHA Signals
Detection & Recovery of Algae Overbloom patches.
About ALGAE-ALPHA
Massive accumulations of macro-algae (seaweed) that drift to coastlines, smother beaches, clog ports, and release harmful gases when decomposing. They're increasing globally due to ocean warming and nutrient pollution.
Overblooms close beaches, devastate tourism, halt port operations, and cost millions in cleanup. Decomposing algae release greenhouse gases and deplete oxygen, harming marine life and accelerating ecosystem collapse.
Algae blooms appear suddenly and drift unpredictably. Traditional monitoring cannot track them in real-time, resulting in late responses, massive beachings, and costly emergency cleanups that fail to prevent damage.
AAS-AI uses satellites, drones, sensors, and AI to detect blooms early, predict their drift, and issue ALPHA Signals that coordinate rapid interception. Captured algae becomes renewable biofuel, turning a threat into economic value.
Problem Statement
Harmful algae overblooms are increasing globally, appearing suddenly and causing significant environmental, economic, and health-related damage. When they reach coastlines or begin to decompose offshore, they release greenhouse gases and ozone-related pollutants, disrupt tourism and port activity, and severely impact marine ecosystems.
These events lead to beach closures, losses in coastal revenue, fishery collapse, and large-scale oxygen depletion that harms biodiversity. Decomposition of unmanaged blooms intensifies GHG emissions and accelerates ecosystem degradation, turning what could be a recoverable biomass resource into a source of pollution and economic loss.
A global, AI-driven detection and response system identifies blooms early using satellites, drones, sensors, and local observations, predicts their drift, and coordinates rapid interception before they cause harm. Collected algae is then transformed into renewable energy products such as biogas and biofuels, converting a growing environmental threat into sustainable economic value.
Project Locations
Coordinates: 35°, 18°
Initial deployment across multiple Caribbean islands to test the decentralized monitoring system in tropical marine environments.
Milestones & Datapoints
ALGAE-ALPHA Project Intention Document
Foundational goals and strategic approach for AI-driven algae overbloom detection and recovery system, including multi-agent coordination and impact prediction.
Document Type
Technical Specification
File Size
2.8 MB
Status
Available
ALGAE ALPHA BV Conception 2022
Development and testing of the first autonomous water monitoring sensors with Nostr integration.
Prototypes Built
5units
Test Duration
90days
Data Transmission Success
98.7%
Network Deployment
Deployment of sensor network across Caribbean and North Sea test sites.
Active Sensors
24units
Data Points Daily
1,440measurements
Network Uptime
99.2%
Global Scaling
Expansion to 100+ sensors across major ocean basins worldwide.
Target Sensors
100units
Ocean Basins
5regions
Get Involved

Tom De Block
Project Lead

Mariano Fragiacomo
Project Steward
Required Skills
Time Commitment
Open Opportunities
Help develop and maintain the decentralized data infrastructure using Nostr protocols.
- Experience with blockchain development
- Knowledge of Nostr protocol
- Proficiency in JavaScript/TypeScript
Deploy and maintain autonomous sensors in marine environments.
- Electronics background
- Boat handling experience
- Willingness to travel
Publications
Distributed/Multi-agent systems
Pattern Recognition and Computational Intelligence
Contact
Have questions or want to learn more about ALGAE-ALPHA Signals? Get in touch with us directly.
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