How Bangladesh is building a 'digital twin of agriculture' model

Every year during the Boro season, Bangladesh pumps more than 30 billion cubic meters of groundwater - mostly without knowing how much is left beneath.

Each diesel pump runs on guesswork, not guidance. One farmer floods his field fearing the next day's outage, while another a few plots away waits helplessly for his turn. Pump operators struggle to balance pressure from farmers demanding "just one more hour" of water, even as groundwater levels sink and fuel costs soar. This is the frontline of Bangladesh's irrigation - where decisions are made by intuition rather than information.

Not long ago, in the drought-prone district of Natore, a farmer named Kalam explained this dilemma plainly: "We have one pump for about five acres of land. The timing of when we can get enough groundwater is unpredictable. So, when water comes, we keep the pump running all day - otherwise, we might miss our chance."

His logic is simple but the outcome is costly. Across the country, tens of thousands of farmers think the same way. Pumps are overused, water tables are falling, and diesel consumption keeps climbing. Yet the real tragedy is inequity: those near the pump head get excess water, while farmers further down the line often get too little or too late.

This problem isn't new - but it is deepening. Over the last two decades, irrigation coverage in Bangladesh has expanded rapidly, driven by private tube wells, shallow pumps, and fragmented water schemes. While this revolution secured food self-sufficiency, it also created a hidden crisis of over-extraction, inefficiency, and unmanaged groundwater use. The system is vast - but largely blind.

Turning data into decisions: This is where the Web-Based Agricultural Information System (Web-AIS) steps in - a joint initiative between Bangladesh Agricultural Development Corporation (BADC), TH Köln (Germany), and international research partners. Its vision is bold: to build a Digital Twin of Agriculture - a virtual model that mirrors the real world of water, crops, soil, and weather.

At its core, Web-AIS brings together field sensors, satellite data, and crop-water models to provide real-time insights on when and where water is available, how much should be used, and which areas are at risk of stress.

Imagine a message on a pump operator's phone: "Soil moisture has dropped below the threshold. Run the pump for 3 hours."

Or a dashboard in the BADC regional office showing that groundwater in Lalpur, Natore is critically low, while surface water in nearby canals could meet 60% of the irrigation demand. With this kind of visibility, decisions can be guided by science rather than pressure, and conflicts between farmers can be reduced through transparency.

A digital ecosystem for smarter irrigation:  Web-AIS integrates several information layers into one coherent system:
*    Groundwater and surface-water models estimate water availability.
*    Crop growth and evapotranspiration models calculate how much water crop actuallyneed.
*    Satellite-based crop mappingtracks which crops are being grown where- and how intensely- in near real time. 
*    Sensor networks and data from other agencies collect field information on rainfall, temperature, water level and flow, soil moisture and beyond.

This integration creates a powerful digital ecosystem that transforms how water and land are managed. The information is then processed in a cloud-based platform that users can access through a web portal, mobile app, or SMS alert - making high-end technology accessible to everyone, from policymakers to smallholder farmers.

The project focuses on three hotspot regions identified in the Bangladesh Delta Plan 2100:
1.    The Barind and Drought-Prone Areas (e.g., Natore),
2.    The Coastal Zone (Khulna, Satkhira), and
3.    The Central Zone (Dhaka-Manikganj).
    Each site reflects a different challenge - falling groundwater tables, salinity intrusion, or urban-rural competition - yet all share a common need: smarter, data-driven water allocation.

From fields to policymaking: The Digital Twin of Agriculture is not just for farmers - it is equally vital for policy and planning.

At the Ministry of Agriculture, Web-AIS offers real-time insights into cropping patterns, seasonal shifts, and land-use intensity. It helps forecast yield, estimate water and fertilizer demand, and simulate future scenarios under different climate or policy conditions.

For BADC and other operational agencies, the dashboard highlights where intensification is possible, identifies underperforming irrigation schemes, and supports better resource allocation. By integrating real-time data with long-term models, the system enables both local action and national planning - a bridge between the field and the policy desk.

In essence, Web-AIS is building the missing bridge between field data and policy action - turning countless local measurements into one national picture of agricultural water use.

A vision for the future: The Digital Twin of Agriculture is still evolving, but its promise is clear: a future where Bangladesh's irrigation is guided, not guessed. By knowing how much water is available - and how much is truly needed - farmers can irrigate more efficiently, save fuel, and secure higher yields. For policymakers, it means data they can trust to plan sustainably for the next decade of agricultural growth.

Ultimately, the goal is not to replace the farmer or the pump operator - it's to empower them. When information flows freely, decisions become fairer, water use becomes equitable, and the nation's food systems become more resilient.

As Kalam in Natore said, "If the system really tells us when and how much to irrigate, it will change our lives."

That change is already underway. Bangladesh is building the digital backbone of its agriculture - one data point, one pump, and one farmer at a time.

Additional Information: Web-AIS is a five-year (2023-2028) joint project funded by the university consortium led by TH Köln, Germany, and the Government of Bangladesh. The Bangladesh Agricultural Development Board (BADC) under the Ministry of Agriculture (MoA) serves as the executive agency. BADC also forms a technical coordination committee with BWDB, BMD, DAE, SRDI to strengthen the projects for its different data supports. Key national research partners include the Bangladesh Rice Research Institute (BRRI) and the Bangladesh Agricultural Research Institute (BARI).

The project's overarching goal is to enhance food security and agricultural self-reliance through sustainable irrigation, smart data systems, and efficient resource management - improving livelihoods and reducing poverty while protecting Bangladesh's groundwater for future generations.