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 Kumar Goswami, Indian Institute of Technology, 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 Russian Academy of Sciences, Russian Federation
Title : New approaches to assessing and managing the multispecies fishery in the Gulf of Thailand
Pavarot Noranarttragoon, Department of Fisheries, Thailand
Title : Enhancing sustainable aquaculture performance using bacillus based biofloc inoculum
Khadem Hussain Saeedi, Kandahar University, Afghanistan
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T V Anna Mercy, Kerala University of Fisheries and Ocean studies, India
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