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AgriCarbonChain: A Blockchain and Cloud-Based Framework for AI-Assisted Verification of Agricultural Carbon Credits
编号：88 访问权限：仅限参会人 更新：2026-07-25 21:35:20 浏览：28次 Online

报告开始：2026年07月31日 11:40（Asia/Kolkata）

报告时间：15min

所在会场：[S6] Artificial Intelligence Use Cases [S6-5] Artificial Intelligence Use Cases

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摘要
Agricultural carbon-credit programs require transparent and reliable verification mechanisms to ensure the authenticity of carbon sequestration claims. Current methods, however, tend to suffer from the lack of stakeholder confidence due to fragmented data management, centralized verification and limited auditability, which can lead to inaccurate carbon-credit distribution. AgriCarbonChain (Agricultural Carbon Credit Blockchain Framework) is a blockchain- and cloud-based framework proposed in this paper to verify agricultural carbon credits using AI. The framework brings together cloud-based data management, AI systems for carbon-sequestration assessment and fraud detection, blockchain secured verification and reporting of the carbon-credit lifecycle together in one architecture. The mathematical verification model is further developed in order to assess the carbon-sequestration, verification confidence, carbon-credit eligibility and fraud risk. It was tested with integrated agricultural and environmental data for various scenarios of carbon-credit verification. The results of the experiments show that AgriCarbonChain can accurately verify 98.2% of the samples, detect fraud 96.3% of the time, and provide a level of confidence in the verification process of 97.1%. Moreover, the AI-assisted verification model achieved an AUC value of 0.986, and an average precision of 0.981, demonstrating strong and reliable verification accuracy. The proposed framework is scalable, transparent and trustworthy for agricultural carbon-credit verification and enables secure evidence-based carbon-credit management.
 
关键词
Agricultural carbon credits, Artificial intelligence, Blockchain, Cloud computing, Carbon sequestration, Carbon-credit verification, Fraud detection, Sustainable agriculture.
报告人
Mohanraj B
Assistant Professor Sona College of Technology

稿件作者
Mohanraj B Sona College of Technology
M. Rajesh Shree venkateshwara Hi-tech engineering college
M.J.T. Vasantha Priya Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College
R. Kamali University of Technology and Applied Science
A Gayathri Chennai institute of technology
Agalya M Vivekananda College of Engineering for Women
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重要日期

  • 会议日期

    07月30日

    2026

    至

    08月01日

    2026

  • 07月28日 2026

    初稿截稿日期

  • 08月03日 2026

    注册截止日期

主办单位
The United Societies of Science
承办单位
Kongunadu College of Engineering and Technology
协办单位
IEEE Section
IEEE Madras Section
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