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 paradox of an ocean nation: Why Fiji imports seafood despite its abundant marine resources
Hiroshi Taniguchi, Free Bird Institute, Fiji
Title : Shifting horizons in global ornamental fish trade: Trends, transitions, and emerging market dynamics
Atul Kumar Jain, Ornamental Fisheries Training and Research Institute, India
Title : Integrating art, science and rural development: The multifaceted role of aquarium keeping
T V Anna Mercy, Kerala University of Fisheries and Ocean Studies, India
Title : Haringhata fish: A concept of responsible farming with sensible marketing for better livelihood and sustainable development
Subhas Das, The University of Burdwan, India
Title : Conditionally pathogenic microparasites (microsporidia and myxosporea) of mullet fish-potential objects of mariculture in the Black and Azov Seas
Violetta M Yurakhno, A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, Russian Federation
Title : Earthworm vermicompost to enhance shrimp Litopenaeus vannamei growth and inhibit AHPND disease in an experimental culture
Gerardo Rodriguez Quiroz, Instituto Politecnico Nacional, Mexico