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 : New approaches to assessing and managing the multispecies fishery in the Gulf of Thailand
Pavarot Noranarttragoon, Department of Fisheries, Thailand
Title : Integrating art, science and rural development: The multifaced role of aquarium keeping
T V Anna Mercy, Kerala University of Fisheries and Ocean Studies, India
Title : Seaweed aquaculture policy gap analyses in Indonesia, Kenya, and Tanzania
Megan Considine, The Nature Conservancy, Puerto Rico
Title : Utilizing art to enhance learning STEM subjects required for aquaculture
J L Giovanna Hesley, Education Emerita, CropKing Inc., United States