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 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
Title :
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