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 : Aquaculture education challenges: Integrating sustainable practices into schools
J L Giovanna Hesley, CropKing, Inc. Curriculum Development, United States
Title : The horizontal integration of a Shellfish farm in a broader business model
Perry Raso, Matunuck Oyster Farm, United States
Title : Smart fish farming: A simulation toolkit for model-based design and optimization
Daniel Quintana Garcia, School of Engineering and Sciences, Tecnológico de Monterrey, Mexico
Title : Role of artificial intelligence and remote sensing in remediation of aquatic pollution and development of Numerical Oceanic Climate Prediction Models (NOCPM)
Virendra Goswami, Indian Institute of Technology (IIT), India
Title : Sustainable aquaculture: Strategies for comprehensive improvement
Ana Claudia Sanchez Ortiz, Universidad de Guadalajara, Mexico
Title : Myxosporean fauna of East Sea marine fishes off the coast of Vietnam
Violetta M Yurakhno, A. O. Kovalevsky Institute of Biology of the Southern Seas of Russian Academy of Sciences, Russian Federation