AgRI is a crop-location-specific risk estimator that uses AI and machine learning to analyze crop-climate interactions through historical data. Integrating diverse datasets. AgRI provides historical, short-, medium-, and long-term risk assessments. Whether you’re a financial institution seeking risk intelligence for crop loans and insurance or an agribusiness optimizing operational strategies, AgRI AI delivers the critical insights you need for informed decision-making. By utilizing advanced machine learning algorithms, the AgRI enables agricultural and allied sector businesses to anticipate potential risks, improve resource allocation, maximise opportunity and enhance the business resilience to climate change.
Access detailed historical climate data, including variables such as temperature, precipitation, and wind across various spatial and temporal scales. Our processed climate data is transformed into impact-relevant metrics, enabling clients to estimate risks and understand potential climate impacts. We also obtain climate projection data for different scenarios and experiments to aid in future planning and risk assessment.
Enhance agricultural planning and decision-making with historical and projected crop yield data. Access soil types and land use patterns to support sustainable practices, urban planning, environmental management, and resource allocation. Benefit from digitized crop management data for easy access and improved usability in planning and analysis.
We offer comprehensive information on various socio-economic indicators for policy formulation and social research. We provide access to future population projections across different spatial scales, assisting planners and policymakers in preparing for demographic changes.
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