
Digital Twin of Agriculture: A New Era for Bangladesh
The integration of real-time environmental monitoring with advanced numerical modeling is creating a paradigm shift in how we manage agricultural water resources in the Bengal Delta.
Bangladesh faces unique challenges due to its complex hydrology and the increasing impacts of climate change. The WebAIS project aims to establish a Digital Twin of Agriculture—a virtual representation of the physical environment that allows for unprecedented monitoring and prediction capabilities. By leveraging a network of automated sensors and satellite intelligence, we can now track soil moisture and groundwater levels with high precision.
“The goal is not just to collect data, but to transform that data into actionable intelligence for every farmer in the delta.”
— Project Vision Statement
This technological ecosystem doesn't just benefit researchers; it provides direct decision support for irrigation scheduling, allowing farmers to optimize water usage and improve crop yields even under saline stress. The following elements represent the core of our technical offering:



Four major technical pillars:
- Real-time Telemetry for ground validation
- Satellite Data Fusion for regional mapping
- Numerical Modeling for scenario analysis
- Decision Support Systems for stakeholders
Sustainable Implementation
Scaling these solutions requires a collaborative approach between institutional partners and local communities. By following international OGC standards, we ensure that the WebAIS platform remains an open, interoperable resource for all regional governance agencies.