Maintaining optimal conditions in aquaculture systems is vital for both the health of farmed species and the surrounding ecosystem. Advances in technology allow for real-time monitoring of key water parameters such as oxygen levels, pH, and salinity, ensuring that conditions remain ideal for growth. Water quality and environmental monitoring systems help detect changes in water quality before they affect production, enabling swift corrective action. Additionally, these systems help assess the environmental impact of aquaculture, tracking factors like nutrient runoff and ecosystem health. With the integration of sensors, drones, and machine learning, farmers can predict water trends more accurately, fostering both sustainable practices and long-term success in the industry.
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
Title :
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