This module is designed for users who need to analyze agricultural data over time using multiple filters, such as year, state, crop, and query type. The system allows users to retrieve and visualize time-series data, which can be grouped either yearly or monthly. By selecting appropriate filters, users can refine their search and generate relevant insights for trends in agricultural activities, policies, or market conditions. The module is particularly useful for researchers, policymakers, and agricultural analysts who need to assess data-driven trends to make informed decisions. It supports CSV downloads, enabling users to export the filtered time-series data for further offline analysis. This module is highly beneficial for agricultural departments, research institutions, and data analysts working on climate impact assessments, crop yield predictions, or policy formulation. The ability to filter data based on multiple criteria makes it a versatile tool for exploring different dimensions of agricultural trends.
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Developed by ICAR-IASRI, New Delhi, India