Data acquisition in aquaculture is the process of collecting environmental and biological data to optimize farm management. Technologies such as sensors, cameras, and IoT devices are used to track parameters like water quality, fish behavior, and feeding patterns. This data is crucial for making informed decisions about stocking, feeding, and disease management. Advanced data analytics, including machine learning algorithms, help farmers analyze trends, predict outcomes, and improve productivity. By utilizing data acquisition systems, aquaculture operations can increase efficiency, reduce costs, and ensure that farming practices are environmentally sustainable and economically viable.
Title : The horizontal integration of a Shellfish farm in a broader business model
Perry Raso, Matunuck Oyster Farm, United States
Title : Role of artificial intelligence and remote sensing in remediation of aquatic pollution and development of Numerical Oceanic Climate Prediction Models (NOCPM)
Virendra Goswami, Indian Institute of Technology (IIT), India
Title : Aquaculture education challenges: Integrating sustainable practices into schools
J L Giovanna Hesley, CropKing, Inc. Curriculum Development, United States
Title : Can we farm eelgrass as a high protein sustainable marine grain for aquaculture?
Timothy C Visel, Retired Aquaculture Educator, United States
Title : Impact of antibiotic application on microbiome present in Catfish gut and water
Luxin Wang, University of California Davis, United States
Title : Smart sensors and real-time monitoring: Revolutionizing aquatic pollution management
Vidya Padmakumar, EcoDiversity Lab, Canada