Open Access Open Access  Restricted Access Subscription Access

AgriMRV: An Automated Monitoring, Reporting and Verification (MRV) Platform for Agroforestry and Rice-Based Carbon Credit Estimation in Smallholder Farms

T. Madhu, N. Gayathiri

Abstract


Carbon markets offer a promising mechanism to incentivize sustainable agricultural practices in India, particularly in rice cultivation and agroforestry. However, the lack of affordable, scalable, and standardized Monitoring, Reporting, and Verification (MRV) systems remains a critical barrier to smallholder farmer participation. This paper presents AgriMRV, a web-based MRV platform designed to automate the carbon credit lifecycle for agroforestry and rice-based carbon projects in India. The system captures farmer-level data through a mobile-friendly interface, computes carbon sequestration and emission reductions using IPCC 2006 Tier 1 methodology, and generates verification reports compatible with international carbon registry standards. Built using Python Flask, SQLite3, and vanilla JavaScript, the platform integrates an interactive geospatial dashboard (Leaflet.js), real-time data visualization (Chart.js), and automated PDF report generation (ReportLab). The system also supports Docker-based containerized deployment for scalable field use. AgriMRV demonstrates a cost-effective, farmer-friendly, and registry-ready MRV prototype capable of bridging the gap between India's smallholder farming community and global carbon markets.


Full Text:

PDF

References


Ministry of Agriculture and Farmers Welfare, Government of India. (2022). Agricultural statistics at a glance 2022. Department of Agriculture and Farmers Welfare.

Garg, A., Shukla, P. R., & Bhattacharya, S. (2015). Mitigation potential and costs for global agricultural greenhouse gas emissions. Nature Climate Change, 5, 710–718.

Cacho, O. J., Marshall, G. R., & Milne, M. (2005). Transaction and abatement costs of carbon-sink projects in developing countries. Environment and Development Economics, 10(5), 597–614.

Wollenberg, E., Richards, M., Smith, P., Havlík, P., Obersteiner, M., Tubiello, F. N., & Campbell, B. M. (2016). Reducing emissions from agriculture to meet the 2°C target. Global Change Biology, 22, 3859–3864.

Millar, N., Robertson, G. P., Grace, P. R., Gehl, R. J., & Hoben, J. P. (2010). Nitrogen fertilizer management for nitrous oxide mitigation in intensive corn production. Frontiers in Ecology and the Environment, 8, 58–64.

Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., & Fargione, J. E. (2017). Natural climate solutions. Proceedings of the National Academy of Sciences, 114(44), 11645–11650.

Lobell, D. B., Asner, G. P., Justice, C. O., Houston, M. A., Hobbs, T. F., & Ghazali, I. (2003). Remote sensing of regional crop production in the Yaqui Valley, Mexico. Field Crops Research, 81(2–3), 173–188.

Jain, M., Rao, P., Srivastava, A. K., Poonia, S., Blesh, J., Azzari, G., McDonald, A. J., & Lobell, D. B. (2019). The impact of agricultural interventions can be doubled by using satellite data. Nature Sustainability, 2, 931–934.

Verra. (2021). VM0042 methodology for improved agricultural land management (Version 2.0). Verified Carbon Standard. https://verra.org/methodologies/vm0042

Gold Standard Foundation. (2019). Gold standard for the global goals: Principles and requirements (Version 1.2). https://www.goldstandard.org


Refbacks

  • There are currently no refbacks.