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 : Can we farm eelgrass as a high protein sustainable marine grain for aquaculture?
Timothy C Visel, Retired Aquaculture Educator, United States
Title : The horizontal integration of a shellfish farm in a broader business model
Perry Raso, Matunuck Oyster Farm, United States
Title : Myxosporean fauna of East Sea marine fishes off the coast of Vietnam
Violetta M Yurakhno, A. O. Kovalevsky Institute of Biology of the Southern Seas of Russian Academy of Sciences, Russian Federation
Title : Review of recent advances in replacing fish-based protein and oil with plant-based alternatives in aquafeeds
Amrit Bart, University of Georgia, 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 : India’s blue revolution at a crossroads: Lessons from the green revolution for a sustainable future
Mukesh Bhendarkar, ICAR-National Institute of Abiotic Stress Management, India