Strategic Partners
A multi-institutional consortium bridging European and Bangladeshi research excellence.
WebAIS is the premier Digital Twin platform for Bangladesh's agriculture—an integrated intelligence system connecting field sensors, satellite Earth Observation, and advanced hydrological modeling.
By transforming fragmented data into evidence-based decision support, we empower national agencies and farming communities to optimize water resources and secure food production in a changing climate.
A multi-institutional consortium bridging European and Bangladeshi research excellence.
The primary objective of the WebAIS initiative is to fortify Bangladesh's food security through the systematic adoption of modern, sustainable irrigation technologies.
By integrating multi-source digital intelligence, the project optimizes the deployment of water and land resources, ensuring long-term agricultural productivity and climate resilience.
A structured roadmap designed to transform national agricultural monitoring from field-level data collection to actionable decision support.
Maximizing irrigation efficiency through advanced modern technologies.
Systematic improvement of water and energy deployment across the sector.
Establishing a unified web-based repository for national ag-intelligence.
Enhancing rural livelihoods through improved productivity and water security.
Supporting canal excavation to strengthen surface-water irrigation networks.
Building capacity for BADC and relevant government agencies.
Training frameworks for farmers on digital sustainability tools.
The WebAIS framework is built upon six core pillars of agricultural intelligence, ensuring that every data point translates into sustainable national production.
WebAIS builds a modern, centralized information system that connects sensor networks, satellite data, field experiments, and agency databases.
High-resolution crop maps, updated regularly using Earth Observation and ground surveys, provide detailed insights into cropping patterns.
Advanced MODFLOW, SWAT, and hydrodynamic models offer a deep understanding of groundwater sustainability and surface-water availability.
DSSAT-based crop models simulate crop water requirements, yield, and management responses for precise irrigation decisions.
WebAIS provides crop-water demand, soil moisture status, and irrigation needs, helping optimize land, water, and energy use.
By integrating models and analytics, WebAIS delivers an intuitive platform that turns complex information into actionable guidance.
Phase 01
Data Acquisition
Phase 02
Modeling & Analytics
Phase 03
Informed Decision Support
Agricultural systems in Bangladesh face a critical confluence of climate volatility, resource depletion, and information fragmentation. Navigating these challenges requires a shift from reactive management to predictive intelligence.
The project addresses high-interest regions where agricultural water demand frequently exceeds sustainable supply limits.
Systematic over-extraction of aquifers necessitates alternative surface-water sourcing and efficiency protocols.
Unpredictable rainfall patterns and salinity intrusion directly impact seasonal crop yields and planning.
Consolidating siloed datasets into a unified ag-intelligence backbone.
Modeling diverse future conditions to identify optimal management paths.
Bridging scientific findings with the operational needs of national agencies.
Translating digital insights into practical guidance for field-level adoption.
Our Management
TH Köln – University of Applied Sciences
Institute for Technology and Resources Management (ITT)
lars.ribbe@th-koeln.de
www.th-koeln.de
Prof. Dr. Lars Ribbe
Betzdorfer Str. 2, 50679 Cologne, Germany
Bangladesh Agricultural Development Corp.
Ministry of Agriculture
pdwebais.tap@gmail.com
www.Webais-bd.com
Mst Mahfuza Akter
22, Manik Mia Avenue, Dhaka, 1215, Bangladesh
WebAIS is supported by a multi-national funding framework, ensuring the long-term sustainability of the Digital Twin infrastructure for Bangladesh.
In-kind contribution for Training, Capacity Building, and Higher Education.
Primary funding provided by the Ministry of Agriculture, Executing Agency- BADC.
"WebAIS represents a commitment to evidence-based agricultural development, international scientific cooperation, and sustainable water resource management. By bridging advanced research with practical implementation, the project aims to deliver lasting benefits for Bangladesh's farming communities."
