Developing Ropeless Autonomous Depth Controlled Structures for Aquaculture to Enable US Expansion Further Offshore

Advanced imaging and sensing technology for improved aquaculture fish cage management

Incorporating Image Recognition and Machine Learning into the NE Multispecies Groundfish Electronic Monitoring Programs to Quantify Species and Sizes of Discards

Implementation of Low-Cost Conductive Yarn Sensors into Aquaculture Enclosures for Strand and Rope Integrity Monitoring

Low-Cost Underwater Robotic Tools for Automated Inspection and Monitoring of Offshore Aquaculture Farms

Implementation of Large-Scale Pervasive Ocean Acidity Monitoring Using a Distributed System of Autonomous Mobile Robots

Multi-Sensor Reconstruction of pH and Temperature in Gulf of Maine

Real-Time Ocean Environment and Aquaculture Structure Load/Motion Predictions through Physics-Informed Machine Learning

Advancing Marine Autonomy for Remote Aquaculture Sustainment

Miniature E-Jet Printed Multi-Sensors for Aquaculture Water Quality Monitoring and Management