Aquaculture automation refers to the use of automated technologies to improve the efficiency and productivity of fish farming. Automation systems are employed to monitor water quality, control feeding, and adjust environmental conditions, reducing the need for manual labor. Sensors and real-time data analysis allow for precise adjustments, ensuring optimal conditions for fish growth. Automation also helps minimize human error, enhance farm management, and reduce operating costs. Technologies such as automated feeders, water filtration systems, and AI-based monitoring are increasingly being integrated into aquaculture systems, contributing to more sustainable and scalable fish farming operations.
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