Authors - John Julius M. Orillana, Loyd S. Echalar Abstract - Mud crab fattening supports aquaculture, local food supply, and income for small-scale farming communities. In container-based culture systems, farmers face two common problems. They need to keep water quality stable. They need to track crab growth on time. Manual monitoring takes time, changes from one checking period to another, and slows response when water conditions shift. These problems affect crab health, survival, and growth. This study developed CRABSMART, a smart container-based fattening system for mud crabs, Scylla serrata, with integrated water quality monitoring and growth prediction. The system tracks temperature, pH, dissolved oxygen, and salinity through sensors linked to a microcontroller platform. The platform sends the data to a web-based dashboard for real-time display, historical monitoring, and system status tracking. The study also includes a growth prediction component. This component estimates growth trends from recorded water quality conditions and culture duration. The study used a developmental research approach for design, integration, and implementation of the prototype. Functional assessment examined sensor operation, data transmission, dashboard performance, and integration of the prediction component. CRABSMART supports faster decisions, reduces manual monitoring, and improves daily management in mud crab fattening. The system provides a practical approach for smart aquaculture, especially in container-based mud crab production.
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