Angel Sharks has designed a maritime aquaculture network with automated reporting and AI-backed for optimization of the health and improved yields for the Shellfish farm. Our system is completely open source and hardware agnostic a Shellfish farmer can implement this plan worldwide and use as little or as much of the technology as they need.
1. Mesh Network for Vessels and Buoys: • Deploy a mesh network across vessels and communication spotter buoys to establish a robust and interconnected infrastructure at sea.
2. MQTT Integration for Hourly Sensor Reporting: • Implement MQTT for real-time communication between sensors on the aquaculture farm, allowing hourly reporting of local environmental data.
3. Camera Network for Computer Vision: • Set up a camera network on the aquaculture farm to capture visual data. • Use computer vision algorithms to preprocess images, providing insights into shellfish growth and monitoring marine mammal activities.
4. Automated Status Reports for Marine Mammals and Shellfish Growth: • Integrate automated reporting systems to send status updates on marine mammal activities and shellfish growth based on data collected from sensors and cameras.
5. Simulated AI Backend for Best Practices: • Develop a simulated AI backend that processes data from sensors and cameras to predict optimal aquaculture practices. • Provide farm owners with recommendations on feed requirements, water column movement to avoid hypoxia, and strategies to prevent toxic algae blooms.
6. Satellite Communication for Remote Areas: • Implement satellite communication for seamless data transfer and control over long distances at sea. • Enable automated processes to move shellfish in a water column based on AI recommendations, preventing issues like hypoxia.
7. Predictive Analytics for Yield Optimization: • Utilize predictive analytics to optimize shellfish yields by analyzing historical data and current conditions. • Provide farm owners with real-time insights and alerts, ensuring timely interventions for maximizing productivity.
8. Automated Feed Management: • Integrate automated feed management systems based on AI predictions and sensor data. • Alert farm owners when feeding is required, optimizing resources and ensuring the well-being of the aquaculture ecosystem.
9. Adaptive Shellfish Movement: • Implement a system for adaptive shellfish movement, automatically adjusting their position in the water column to promote health and growth. • Use AI recommendations to prevent overcrowding and maintain optimal conditions. By combining these elements, the maritime aquaculture network becomes a sophisticated and adaptive system, leveraging advanced technologies to automate reporting, optimize farming practices, and enhance overall productivity in remote sea locations.