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Digital Agri-Stack 2.0: Bridging the Credit Gap for Tenant Farmers

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The Ministry of Agriculture has launched Digital Agri-Stack 2.0, featuring a 'Verified Tenant Module' to provide landless and tenant farmers with institutional credit and insurance. By linking e-shram data with land records, the initiative aims to formalize tenant farming and support the growing number of women in the sector.

The Ministry of Agriculture and Farmers Welfare has launched 'Digital Agri-Stack 2.0', a significant upgrade to India’s agricultural digital public infrastructure (DPI). The cornerstone of this version is the 'Verified Tenant Module,' designed to bring landless and tenant farmers into the formal agricultural ecosystem. Historically, the lack of clear land titles has barred millions of actual cultivators from accessing institutional credit, the Pradhan Mantri Fasal Bima Yojana (PMFBY), and various input subsidies.

The framework operates by integrating the e-shram database—which contains records of unorganized workers—with digitized state land records. This cross-referencing allows the government to identify and verify individuals who are actively farming a piece of land without owning it. By creating a digital identity for the 'cultivator' rather than just the 'landowner,' the government facilitates a shift toward identity-based agricultural support.

This move is particularly critical in addressing the 'Feminization of Agriculture.' As men increasingly migrate to urban areas for non-farm work, women have become the primary workforce in rural fields. However, since land titles are predominantly held by men, women farmers often remain 'invisible' to the banking and insurance sectors. The Verified Tenant Module provides a mechanism to recognize these women as legitimate farmers, ensuring they receive direct benefit transfers (DBT) and credit.

From a governance perspective, Agri-Stack 2.0 enhances transparency and reduces leakages. It enables 'targeted subsidy delivery' by ensuring that benefits like fertilizer subsidies or PM-KISAN reach the person actually tilling the soil. Furthermore, the data generated through this stack will provide policymakers with granular insights into cropping patterns and regional credit requirements, allowing for more evidence-based interventions.

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