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@article{190319,
        author = {Vinay Chawla},
        title = {Synthesizing MRV Systems for Community-Based Food Security},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {668-675},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190319},
        abstract = {Current Measurement, Reporting, and Verification (MRV) frameworks generally require digital records, professional personnel, and formal management systems, which are beyond the capabilities of community-based food security operations with limited data resources. This study addresses this gap by synthesizing techniques from seven established MRV frameworks into a unified verification system specifically designed for low-data contexts. Through a comparative analysis of these frameworks, 19 practical techniques were identified and subsequently integrated into the Langar Credit Protocol. This protocol incorporates categorical indicators, evidence triangulation, community-based verification, and tiered quality assurance. Survey validation confirmed the feasibility of stakeholders’ perceptions. The resulting approach demonstrates that rigorous verification is achievable without imposing prohibitive requirements on community kitchens or cafés. This synthesis methodology offers transferable insights for addressing verification challenges in India’s informal sector.},
        keywords = {MRV frameworks, low-data verification, community food security, synthesis methodology, sustainable development goals},
        month = {January},
        }