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 : Application of artificial intelligence and NISAR satellite to study the air sea CO2 exchange and aquatic toxicology to develop ‘Aquatic Pollution Remediation Technologies’(PART)
Virendra Goswami, Indian Institute of Technology, India
Title : DNA barcoding as a tool for biodiversity and ecological assessment in african freshwater systems: A case study of upper section of River Mpanga, Uganda
Basooma Rose, BOKU University, Austria
Title : Spatial refuge and reproductive potential of the vulnerable the picked dogfish (Squalus acanthias) in the Georgian black sea: Evidence from experimental trawl survey
Guranda, National Environmental Agency, Georgia
Title : Seasonal habitat shifts and purse seine dependence of mene maculata in the Taiwan strait: Early indicators of climate driven ecosystem change
Ipsita Biswas, National Taiwan Ocean University, Taiwan
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Kidanie Misganaw Bezabih, University of Gondar, Ethiopia
Title : Eco friendly bioremediation: Azolla pinnata as a natural shield against hexaconazole toxicity in cyprinus carpio (LINNAEUS, 1758)
Mandeep Kaur, Panjab University, India