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 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 : 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
Title : National action plan for sustainable and resilient fisheries aquaculture system in Pakistan
Nazia Sher, National Institute of Maritime Affairs, Pakistan
Title : Site suitability analysis for sea cucumber mariculture in the coastal area of Bangladesh
Muhammad Mizanur Rahman, Shahjalal University of Science and Technology, Bangladesh
Title : Trends in fish value chain improvement in Rift Valley Lakes and Lake Tana, Ethiopia
Kidanie Misganaw Bezabih, University of Gondar, Ethiopia