Transforming Aquaculture through Intelligent Automation & Data Analytics
Theme 1 serves as the flagship forum for researchers, engineers, and digital innovators advancing the transition from conventional farming to data-driven, intelligent aquaculture (Aquaculture 4.0). By combining advanced sensing, IoT telemetry, artificial intelligence, computer vision, and autonomous robotics, precision aquaculture drastically improves feed conversion ratios, early disease detection, and environmental sustainability.
We invite original theoretical, computational, and field-experimental contributions that address the integration of smart sensors in harsh marine and freshwater environments, high-throughput phenotypic data analytics, and cloud-edge predictive decision support platforms.
Key Topic Areas for Abstract Submission
AI & Computer Vision
Underwater imaging, non-invasive biomass sizing, fish behaviour monitoring, stress identification, and deep learning classification in turbid environments.
IoT & Sensor Networks
Optical, electrochemical, and acoustic sensors for continuous dissolved oxygen, pH, ammonia, salinity, and real-time wireless telemetry.
Robotics & Automation
Unmanned underwater vehicles (UUVs/ROVs) for net-pen inspection, automated feeding mechanisms, bio-fouling removal robots, and smart aeration controllers.
Digital Twins & Predictive Modelling
High-fidelity hydrodynamic-biological digital twins, fish growth prediction algorithms, bioenergetics models, and automated farm-level decision support systems.
Remote Sensing & GIS
Satellite observation for site selection, coastal aquaculture spatial planning, harmful algal bloom (HAB) tracking, and thermal plume monitoring.
Big Data & Traceability
Blockchain-backed supply chain traceability, farm-to-fork auditing, cloud edge data integration, and farm management software ecosystems.