Advanced technology in aquaculture is revolutionizing fish farming through innovations like AI, IoT, and automation. AI-driven tools are being used to monitor fish behavior, optimize feeding, and maintain water quality in real-time. The Internet of Things (IoT) enables seamless data collection and analysis, giving farmers precise control over aquaculture environments. Additionally, automated feeding systems and robotic net cleaners reduce labor costs and increase operational efficiency. These technologies not only enhance productivity but also contribute to sustainable practices by minimizing resource wastage. As aquaculture scales up to meet global demand, advanced technology will play a crucial role in ensuring sustainable and efficient production.
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