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Agriculture Carbon Footprint Assessor (ACFA ver 1.0): An Effective Carbon Computing Standard for Sustainable Agriculture

農業カーボンフットプリント評価ツール(ACFA ver 1.0):持続可能な農業のための効果的な炭素計算基準 (AI 翻訳)

Phalguni Das Biswas, Pradip Dey, Hasim Kamal Mallick, Noor Khaiyam, Pradip Bhattacharyya, Ranjan Bera, Nilotpal Das, Arun Kumar Barik

Journal of Global Ecology and Environment📚 査読済 / ジャーナル2026-05-15#炭素会計
DOI: 10.56557/jogee/2026/v22i210592
原典: https://doi.org/10.56557/jogee/2026/v22i210592

🤖 gxceed AI 要約

日本語

本論文は、インドの農業における炭素フットプリント測定のための標準化手法「農業カーボンフットプリント評価ツール(ACFA ver 1.0)」を提案する。ACFAは地域固有のパラメータ(気候、投入パターン、土壌炭素動態)を反映し、小規模農家の多いインドの農業に適した精度の高い炭素計算を実現する。IBM-IORFサステナビリティプロジェクトへの適用では、持続可能な農業への転換により251.55t CO2e/haの排出削減可能性を示した。

English

This paper presents the Agriculture Carbon Footprint Assessor (ACFA ver 1.0), a standardized methodology for measuring carbon footprint in Indian agriculture. ACFA integrates region-specific parameters like agro-climatic variability, input-use patterns, and soil carbon dynamics to enhance accuracy for smallholder-dominated systems. A case study in Karnataka showed that transitioning to sustainable practices could mitigate 251.55 t CO2e/ha. This tool supports SDG and net-zero targets for Indian agriculture.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本では、農業由来のGHG排出削減が課題であり、食品企業のスコープ3算定にも関わる。ACFAのような地域特化型の炭素計算ツールは、日本のサプライチェーン排出量管理において、特に海外調達先の影響評価に応用可能である。本手法は、国際的な農業炭素会計基準の開発にも示唆を与える。

In the global GX context

ACFA addresses the critical gap in carbon footprint measurement for smallholder agriculture, offering a scalable model applicable to developing countries. For global carbon accounting standards like the GHG Protocol, this tool demonstrates how to incorporate regional diversity and soil carbon dynamics, which are often underrepresented. It provides a practical framework for Scope 3 emissions from agricultural supply chains.

👥 読者別の含意

🔬研究者:ACFA provides a methodology that integrates local parameters into carbon footprint assessment, useful for researchers developing region-specific emission factors and soil carbon models.

🏢実務担当者:Corporate sustainability teams managing agricultural supply chains can adopt ACFA for accurate carbon accounting of smallholder farms and to track mitigation interventions.

🏛政策担当者:Policymakers can use ACFA to standardize national agricultural carbon accounting, supporting NDCs and net-zero strategies while aligning with IPCC guidelines.

📄 Abstract(原文)

Climate change impacts are making agricultural production systems increasingly vulnerable to meeting the growing food demands of the global population. In India, the challenge is even greater, as only 3.73% of agricultural land supports 17.76% of the world's population. To ensure safe food for all, agricultural practices must shift towards sustainability and climate resilience, particularly given that over 80% of farmers in India are smallholders with an average landholding of 0.38 hectares. Various initiatives have been attempted to enhance sustainability in food production, but measuring their impact remains difficult without universally accepted indices for climate-resilient agriculture (Zong et al., 2022). Agriculture, as the second-largest greenhouse gas (GHG) emitter, also has the potential to serve as a major carbon sink, presenting an opportunity for GHG mitigation (Sieber et al., 2015). Sustainable agriculture and GHG mitigation are closely linked; a truly sustainable food production system will inherently contribute to GHG reduction. To establish a standardized method for carbon footprint measurement in sustainable agriculture in India, it is essential to consider the country's agro-climatic variations, cultural practices, mechanization levels, and soil sink capacities while adapting emission factors to IPCC guidelines. In this context, the Inhana Organic Research Foundation (IORF) has created the Agriculture Carbon Footprint Assessor (ACFA-version 1.0) in collaboration with various research institutions. This standard effectively measured the carbon mitigation potential of the IBM-IORF Sustainability Project in Mandya, Karnataka, showing that transitioning to sustainable practices could mitigate 251.55 mt of CO2e/ha. This framework uniquely integrates region-specific parameters such as agro-climatic variability, input-use patterns, and soil carbon dynamics, ensuring greater accuracy in carbon footprint estimation for Indian agricultural systems. It also enables a comprehensive assessment of both emission sources and carbon sequestration potential under diverse farming practices. This initiative represents a significant step towards achieving Sustainable Development Goals (SDGs) and net-zero compliance in Indian agriculture.

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