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 : Utilizing art to enhance learning STEM subjects required for aquaculture
Joni Lee Giovanna Hesley, Emerita CropKing, United States
Title : Advancing disease resistance in largemouth bass: Effects of ß glucan on immunity and survival rates
Liang Liu, KEMIN, Belgium
Title : Antimicrobial resistance and biosecurity in aquaculture
Pani Prasad Kurcheti, Fisheries University, 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 : Effect of acute toxicity of formalin on orechromis niloticus
Azuibuke Adams Chris , Nigeria police academy wudil Kano University, Nigeria
Title : Foresight, market and financial analysis of microalgae for aquaculture feed: use of Chlorella sorokiniana biomass in a hypothetical diet formulation for Pacific white shrimp (Penaeus vannamei)
Sergio Saraiva Nazareno dos Anjos, Brazilian Agricultural Research Corporation (Embrapa), Brazil