WP-10 serves as the core WebAIS platform architecture and institutional decision-support system. It integrates high-frequency data from all other packages into a single cohesive 'Digital Twin' of the agricultural landscape.
Scientific Objectives
Design and develop a high-performance Digital Twin (DT) platform for Bangladesh's agriculture.
Implement robust data ingestion pipelines from remote sensing, field sensors, and numerical models.
Build institutional dashboards for BADC and other agencies with real-time decision-support tools.
Provide a unified GIS interface for visualising cross-sectoral environmental and socio-economic data.
Execution Framework
T1. System Architecture and API Development
Connecting the brains of the project.
- Design of the micro-services based architecture for the WebAIS platform.
- Development of standardized RESTful APIs for cross-partner data exchange.
- Implementation of secure user authentication and institutional data sharing roles.
- Setup of high-availability cloud-based database clusters for environmental time series.
T2. Integration and Visualization Engine
Converting complex data into actionable maps and charts.
- Development of high-performance 2D and 3D map viewers for big geo-spatial datasets.
- Creation of dynamic, interactive dashboards for sensor data (groundwater, soil, climate).
- Implementation of comparison tools between baseline observations and model projections.
- Standardization of spatial layers (OGC-compliant) for interoperability.
T3. Institutional Decision Support Tools
Bridging the gap between science and policy.
- Development of irrigation alerts and scheduling tools for local field officers.
- Direct integration of groundwater extraction scenarios into management dashboards.
- Implementation of crop health monitoring and yield forecasting views.
- Regular user feedback workshops with national agencies (BADC, BARC) for system UX/UI.
Project Milestones
Beta version of the WebAIS Digital Twin platform online and fully functional.
Unified data-exchange API established and utilized by all consortium members.
Integrated map-viewer supporting 20+ layers of environmental and socio-economic data.
Final system handover and institutional training for national agency operators.