Web-AIS brings real-time data, satellite analytics, crop models, and groundwater–surface water models together into one intelligent platform — designed for Bangladesh’s farmers, agencies, and policy-makers.
Understanding the system through data, experiments, surveys and observations.
Research AreasStudy Sites Read MoreBuilding digital representations of crops, water systems, climate and land systems.
Modelling detailData Analytics Read Moreransforming complex models & data into actionable insights for farmers and agencies.
WebAIS PlatformPolicy support Read More
Building a robust network of sensors, satellite data pipelines, and a modern data infrastructure to provide continuous, real-time environmental intelligence for Bangladesh’s agriculture.
Integrating hydrological, groundwater, salinity, and hydrodynamic models to quantify water availability, sustainability, and risks across the country.
Linking field experiments, crop models, and irrigation treatments to determine how much water crops really need.
Analyzing crop rotations, land use change, farmer behavior, and socio-economic drivers to understand how production systems shift.
A unified digital platform that connects data, models, and artificial intelligence to deliver actionable insights for farmers, agencies, and national planners.
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Web-AIS brings real-time data, satellite analytics, crop models, and groundwater–surface water models together into one intelligent platform — designed for Bangladesh’s farmers, agencies, and policy-makers.
Real-time monitoring through sensors, satellites, and automated data streams powering the national agricultural intelligence system.
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Integrated crop, groundwater, hydrological, and land-system models simulate water demand, availability, and future scenarios.
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High-resolution crop maps and multi-source data streams feed directly into models, improving accuracy from field to national scale.
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Field experiments across three agro-ecological zones provide real-world crop water responses to irrigation treatments.
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A unified, AI-driven platform transforming multi-source data and models into irrigation advice, scenario planning, and smart decisions.
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Workshops, training, and collaborative research ensure institutions and farmers convert scientific outputs into practical know-how.
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