Big Data Platform for Smart Aquaculture
Step 5: System development
After the high-level analysis of the Big Data Platform scope, it needs to be designed and built. This technology phase is beyond the scope of these guidelines and will not be discussed in detail. The overall approach includes a phase of requirements engineering (RE) which is the systematic process of defining, documenting, and managing the functionalities and needs of a system. This provides the bridge between initial ideas and actionable development blueprints, ensuring the final product solves the right problem. It is not a single document, but rather an adaptive process from start to finish that must strike a balance between flexibility and robustness, while preventing costly rework, Before embarking on the development of a platform, it must be clear that specifications can change over time, and that stakeholder consultation and acceptance tests require time and effort, and that an agreed requirements management structure is in place.
The requirements for similar platforms may be very different, as evidenced in the SAB project. It supported the development of 2 Smart Data Platforms, one in Peru and the other in Sri Lanka. The needs analysis was similar, yet the requirements were different.
The SANISMART Platform focuses on semi-intensive shrimp farming in Tumbes, Peru. It is a multi-user platform depicting real-time sensor monitoring, automated alerts, regulatory reporting, and GIS-based map visualization.
The Shrimp Industry Information System (SIIS) is Sri Lanka’s national Big Data Platform for smart shrimp aquaculture, integrating farm registry data and water quality sensor records into a centralized, cloud-based system accessible to multiple stakeholders.