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 : Effect of dietary inclusion of carbohydrate-enriched Chlorella vulgaris on growth performance and water quality in Ctenopharyngodon idella
Sadaf Aman, Minhaj University Lahore, Pakistan
Title : Parasites hazardous to the health of commercially important fish species in the Black Sea and the Sea of Azov
Violetta M Yurakhno, A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, Russian Federation